This is an attempt to combine my original website and my blog into a single site using R Markdown.

- 2020/09/04 Warning: Physics Envy May be Hazardous to Your Wealth
- 2020/09/01 Research interests
- 2020/08/31 Biopharmaceutical Section Offers Advice for ASA Fellow Nomination
- 2020/08/28 Statisticians React to the News
- 2020/08/21 AI Fairness 360 Open Source Toolkit
- 2020/08/21 Envisioning a Transformed Clinical Trials Enterprise in the United States
- 2020/08/21 Relationship Between Total and Bioaccessible Lead on Children’s Blood Lead Levels in Urban Residential Philadelphia Soils
- 2020/08/20 Setting the Stage: Statistical Collaboration Training Videos
- 2020/08/16 Upload data from R to an HTML page with rmarkdown and ftpUpload
- 2020/08/14 Filed under: The differences
- 2020/08/11 Data 8: The Foundations of Data Science
- 2020/08/11 Health statistics represent…
- 2020/08/11 Simple Demographics Often Identify People Uniquely
- 2020/08/11 Simple Demographics Often Identify People Uniquely
- 2020/08/09 Biography for a research grant
- 2020/08/06 How to be more effective in your professional life
- 2020/07/31 Getting science published
- 2020/07/31 The Scientist’s Guide to Poster Design
- 2020/07/30 Data for Black Lives
- 2020/07/15 AMS Style Guide
- 2020/07/12 Aleatory and epistemic uncertainties can completely derail medical research results
- 2020/06/13 Florida fired its coronavirus data scientist. Now she<U+FFFD>s publishing the statistics on her own.
- 2020/06/13 Florida fired its coronavirus data scientist. Now she<U+FFFD>s publishing the statistics on her own.
- 2020/06/11 How to Call B.S. on Big Data.
- 2020/05/24 Constructing sound science and good epidemiology: tobacco, lawyers, and public relations firms
- 2020/05/24 Steve Milloy misfires
- 2020/05/23 Quote: In medicine, there is automatic…
- 2020/05/12 The Bioconductor library of packages for R
- 2020/05/05 Quote: The tendency of some modelers…
- 2020/04/30 Reading text files
- 2020/04/27 An incomplete list of data repositories
- 2020/04/15 Codes for COVID-19 in the electronic health record
- 2020/03/15 Blog post: Different map projections
- 2020/03/11 Blog post: An example of a poor color choice
- 2020/03/10 Blog post: UMKC big data and data science initiatives
- 2020/03/02 Blog post: Smart quotes, em dashes, and en dashes
- 2020/02/27 Blog post: Proposed talk on secondary data analysis
- 2020/02/21 Quote: No aphorism is more frequently repeated…
- 2020/02/04 Blog post: Data collection in a research methods class
- 2020/02/04 Blog post: Data visualizaiton as art
- 2020/01/29 Blog post: Printing R Markdown output to png files
- 2020/01/26 Blog post: Artist wanted, here are the details
- 2020/01/23 Blog post: Celebrating the failures of medical research using a graphic novel format
- 2020/01/17 Blog post: Imbalanced sample sizes in the Fisher Exact test
- 2020/01/07 Blog post: Identifying and manipulating non-breaking spaces
- 2019/05/15 PMean: Finding me on the Internet
- 2019/05/10 Recommendation: PROC-X.com. An online (unofficial) SAS journal – written by bloggers
- 2019/05/09 Recommendation: Scientists’ grant writing styles vary by gender
- 2019/05/02 PMean: Several Python resources
- 2019/05/02 Recommendation: Assessment Resource Tools for Improving Statistical Thinking
- 2019/04/25 PMean: Writing the methods section of a research paper
- 2019/04/25 Recommendation: A tribute to Douglas C. Altman, DSc
- 2019/04/25 Recommendation: Data science curriculum roadmap
- 2019/04/18 Recommendation: Bibliographies and citations (in R Markdown)
- 2019/04/18 Recommendation: Separating Unique and Duplicated Observations Using PROC SORT in SAS 9.3 and Newer Versions
- 2019/04/17 Recommendation: What would Florence Nightingale make of big data?
- 2019/04/16 Recommendation: When Big Data goes to school
- 2019/04/16 Recommendation: Writing a discussion section: how to integrate substantive and statistical expertise
- 2019/04/07 Recommendation: Copyright and Data
- 2019/04/04 Recommendation: Case for omitting tied observations in the two-sample t-test and the Wilcoxon-Mann-Whitney Test
- 2019/04/03 Recommendation: When life gives you coloured cells, make categories
- 2019/04/01 Recommendation: Ethical Practice in Data Mining
- 2019/03/29 PMean: Writing the introduction section of a research thesis or dissertation
- 2019/03/25 Recommendation: Census Geocoder
- 2019/03/25 Recommendation: Data Science Has Become About Lending False Credibility To Decisions We’ve Already Made
- 2019/03/23 Recommendation: Harvard University Program on Survey Research
- 2019/03/15 Recommendation: A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
- 2019/03/14 Recommendation: Webinar Series, Congressionally Directed Medical Research Programs
- 2019/03/08 Quote: Did you hear about the mathematician…
- 2019/03/08 Recommendation: LaTeX/Mathematics
- 2019/03/08 Recommendation: R Markdown Basics
- 2019/03/06 Recommendation: 12 things I wish I’d known before starting as a Data Scientist
- 2019/03/06 Recommendation: Stop Saying ‘Exponential.’ Sincerely, a Math Nerd.
- 2019/03/03 PMean: Slapping the word pilot on a failed study
- 2019/02/26 Quote: All scientific work is incomplete…
- 2019/02/15 PMean: Make a loud mistake
- 2019/02/14 Cartoon: Some good predictive analytics software…
- 2019/02/14 Recommendation: 8 Waste Types of DOWNTIME
- 2019/02/14 Recommendation: A Framework for Program Evaluation
- 2019/02/14 Recommendation: Checklist to Evaluate the Quality of Questions
- 2019/02/14 Recommendation: How to Use Deming’s 14 Points to Improve Quality
- 2019/02/14 Recommendation: Quality Improvement in Healthcare
- 2019/02/14 Recommendation: SMART Objectives
- 2019/02/13 Recommendation: NOVA, A Hole in the Sky
- 2019/02/12 Another short biography
- 2019/02/12 Recommendation: Dr. Russell Waitman. Innovation: Breaking the Barriers on Medical Information
- 2019/02/11 PMean: Finding those weird characters
- 2019/02/09 Recommendation: Create Awesome HTML Table with knitr::kable and kableExtra
- 2019/02/05 Recommendation: An overview of randomization techniques
- 2019/02/04 Recommendation: HEDIS and Performance Measurement
- 2019/02/04 Recommendation: The Learning Health Care System in America
- 2019/02/01 Quote: The most challenging thing in the world…
- 2019/02/01 Recommendation: A Systematic Examination of the Citation of Prior Research
- 2019/01/25 Recommendation: Bending the rules of clinical trials
- 2019/01/25 Recommendation: Competing commtments in clinical trials
- 2019/01/25 Recommendation: Observational studies often make clinical practice recommendations
- 2019/01/25 Recommendation: Sample applications and more
- 2019/01/25 Recommendation: Should you blow the whistle?
- 2019/01/25 Recommendation: Sins against science
- 2019/01/23 PMean: Think positively - what has research done for us
- 2019/01/23 Recommendation: Framingham Contribution to Cardiovascular Disease
- 2019/01/20 Quote: Exploratory data analysis is an attitude…
- 2019/01/20 Quote: In a world where the price of calculation continues to decrease rapidly…
- 2019/01/16 Recommendation: How to write a literature review
- 2019/01/15 PMean: Citing one of my web pages
- 2019/01/14 Recommendation: Hints for designing effective questionnaires
- 2019/01/14 Recommendation: Leading Questions – Yes Prime Minister
- 2019/01/09 Recommendation: How a Feel-Good AI Story Went Wrong in Flint
- 2019/01/09 Recommendation: Making women in science visible
- 2018/12/31 Recommendation: Congratulations on the Promotion. But Did Science Get a Demotion?
- 2018/12/30 Recommendation: Convert PowerPoint Slides to xaringan (remark.js) Slides
- 2018/12/29 Recommendation: 9 Reasons Excel Users Should Consider Learning Programming
- 2018/12/29 Recommendation: We Have Ways To Stop Rogue Scientists. They Don’t Always Work.
- 2018/12/11 Recommendation: In UC’s battle with the world’s largest scientific publisher, the future of information is at stake
- 2018/12/11 Recommendation: Standardized Mortality Ratio
- 2018/12/05 Recommendation: Make PowerPoint Presentations with R Markdown
- 2018/11/27 Recommendation: Welcome to DASL – The Data And Story Library
- 2018/11/11 PMean: Getting R to shut the heck up
- 2018/11/08 Recommendation: Installing R and Python in Anaconda for Biologists
- 2018/10/30 PMean: Fighting SASism
- 2018/10/23 Recommendation: 1.1 Billion Taxi Rides with Spark 2.2 & 3 Raspberry Pi 3 Model Bs
- 2018/10/23 Recommendation: Accessible R Markdown Documents
- 2018/09/24 Recommendation: A top Cornell food researcher has had 13 studies retracted. That’s a lot.
- 2018/09/23 Recommendation: Call R from SPSS
- 2018/09/21 PMean: What to do about claims of borderline statistical significance
- 2018/09/19 PMean: What I did in the last twelve months
- 2018/09/14 Recommendation: False-Positive Psychology
- 2018/09/14 Recommendation: Making it easier to discover data sets
- 2018/09/13 Recommendation: Complex Innovative Trial Designs Pilot Program
- 2018/09/13 Recommendation: Next-generation phenotyping of electronic health records
- 2018/09/13 Recommendation: Use of Electronic Health Record Data in Clinical Investigations. Guidance for Industry
- 2018/09/10 PMean: Super Pi, a group to teach cluster computing using the Raspberry Pi
- 2018/09/07 Recommendation: JupyterLab is Ready for Users
- 2018/09/07 Recommendation: lavaan tutorial
- 2018/09/07 Recommendation: Leaflet - an open source Javascript library for mobile-friendly interactive maps
- 2018/09/07 Recommendation: The five safes, designing data access for research
- 2018/09/04 PMean: Python, Raspberry Pi, and cluster computing
- 2018/09/04 Recommendation: Python bindings for MPI
- 2018/09/01 Recommendation: Cluster Hat 2.0
- 2018/08/31 Recommendation: MPI Tutorial Introduction
- 2018/08/28 Recommendation: r2d3: R Interface to D3 Visualizations
- 2018/08/27 PMean: What day is it in my R program?
- 2018/08/17 PMean: Business essentials for starting an independent consulting practice
- 2018/08/15 Recommendation: How to Clone Your Raspberry Pi SD Cards With Windows
- 2018/08/15 Recommendation: NOOBS – Raspberry Pi documentation
- 2018/08/13 PMean: The Dark Side of Data Science
- 2018/08/01 Recommendation: GloVe word vector embeddings
- 2018/08/01 Recommendation: Practical deep learning for coders
- 2018/07/24 PMean: A simple structure for documentation
- 2018/07/23 Recommendation: Use of Electronic Health Record Data in Clinical Investigations
- 2018/07/20 PMean: Grading rubric for computer assignments
- 2018/07/20 Recommendation: A Review of Published Analyses of Case-Cohort Studies and Recommendations for Future Reporting
- 2018/07/10 Recommendation: How to be more effective in your professional life
- 2018/07/07 PMean: How much missingness can you tolerate?
- 2018/07/05 Recommendation: Bayesian meta-analysis of two proportions in random control trials
- 2018/07/03 Recommendation: Section 508 CoP: PDF Accessibility – Part One
- 2018/06/28 Recommendation: Microsoft is creating an oracle for catching biased AI algorithms
- 2018/06/24 PMean: What goes into a contract for a consultation
- 2018/06/09 PMean: Big data groups at UMKC and UM/Columbia
- 2018/05/22 Recommendation: Analysis of Pretest-Postest Designs
- 2018/05/22 Recommendation: Applied Survival Analysis
- 2018/05/21 Recommendation: Interval censored data analysis
- 2018/05/21 Recommendation: Interval regression - R data analysis examples
- 2018/05/20 Recommendation: Adjusted survival curves
- 2018/05/17 PMean: What are we doing to justify all that time we’re budgeting?
- 2018/05/13 PMean: Some interesting quality improvement resources
- 2018/05/13 Recommendation: beepr: easily play notification sounds on any platform
- 2018/05/13 Recommendation: Reproducible research with Stata
- 2018/05/10 PMean: Draft policy on statistical support for research
- 2018/05/01 PMean: Learning more about SAS
- 2018/04/19 Recommendation: A crummy drop-down menu appeared to kill dozens of mothers in Texas.
- 2018/04/19 Recommendation: Dogs vs cats. Create an algorithm to distinguish dogs from cats
- 2018/04/19 Recommendation: SMS Spam Collection Data Set
- 2018/04/11 Recommendation: Definitions of Criteria and Considerations for Research Project Grant Critiques
- 2018/04/10 Recommendation: Data Sharing Network (SHRINE)
- 2018/04/10 Recommendation: Exploits of a Mom
- 2018/04/09 Recommendation: ISO 8601
- 2018/04/05 Recommendation: TinyTeX: A lightweight - cross-platform - portable - and easy-to-maintain LaTeX distribution based on TeX Live
- 2018/04/03 Recommendation: EuSpRIG horror stories.
- 2018/04/03 Recommendation: Guidelines for estimating biostatistician effort and resources on grants
- 2018/04/03 Recommendation: Statistical and Machine Learning forecasting methods: Concerns and ways forward
- 2018/04/03 Recommendation: The Reinhart-Rogoff error – or how not to Excel at economics
- 2018/04/02 PMean: Developing an interdisciplinary research program
- 2018/04/02 PMean: My research interests
- 2018/04/02 PMean: My research interests, one page limit
- 2018/04/02 Pmean: My teaching and research statement
- 2018/04/02 PMean: My teaching approach
- 2018/04/02 PMean: My teaching interests, one page limit
- 2018/04/01 Recommendation: To combat physician burnout and improve care, fix the electronic health record
- 2018/03/29 PMean: Starting a heron-i2b2-analytics repository
- 2018/03/29 Recommendation: Evaluation Methods in Biomedical Informatics
- 2018/03/28 PMean: And the least important variable is…
- 2018/03/28 PMean: Recommended format for homework assignments
- 2018/03/28 PMean: Using the transpose procedure in SAS
- 2018/03/27 PMean: Next stop - BMC Medical Informatics and Decision Making
- 2018/03/27 Recommendation: Good Publication Practice for Communicating Company-Sponsored Medical Research: GPP3
- 2018/03/25 PMean: Two articles published in the Encyclopedia of Big Data
- 2018/03/24 Recommendation: Textbook Examples Applied Survival Analysis
- 2018/03/23 PMean: Exporting a graph in SAS
- 2018/03/23 PMean: Tests of equivalence and non-inferiority
- 2018/03/23 PMean: They want a short biography from me
- 2018/03/23 Recommendation: Getting Started with the SAS 9.4 Output Delivery System
- 2018/03/23 Recommendation: Welcome to developerWorks
- 2018/03/22 PMean: Mining the electronic health record, why and how
- 2018/03/22 PMean: Peer grading in Introduction to R - SPSS - SAS
- 2018/03/21 PMean: Changes to the Introduction to R - SAS - and SPSS classes
- 2018/03/01 Recommendation: Is vaccine effectiveness (VE) different from vaccine efficacy
- 2018/02/28 Recommendation: A sampling of outstanding women in analytics
- 2018/02/24 Recommendation: Data dictionaries
- 2018/02/24 Recommendation: The history of Hadoop
- 2018/02/20 Recommendation: Adherence to Methodological Standards in Research Using the National Inpatient Sample
- 2018/02/06 Recommendation: An introduction to implementation science for the non-specialist
- 2018/01/30 Recommendation: The Survey Statistician newsletter
- 2018/01/23 Recommendation: Hi - I’m Mike Bostock.
- 2018/01/02 Recommendation: Philosophy News Network: Postmodernism Special Report
- 2018/01/02 Recommendation: The Origins of ‘Big Data’
- 2017/12/27 Recommendation: Designing and conducting semi-structured interviews for research
- 2017/12/15 Recommendation: No more rainbows
- 2017/12/12 Recommendation: Network analysis in cross-sectional data using R
- 2017/12/04 Recommendation: How to use social media in your career
- 2017/11/27 Recommendation: Can A.I. be taught to explain itself
- 2017/11/15 Recommendation: beanumber repository
- 2017/11/15 Recommendation: Databases using R
- 2017/11/15 Recommendation: Intro to SQL for Data Science
- 2017/11/15 Recommendation: Teaching precursors to data science in introductory and second courses in statistics
- 2017/11/08 Recommendation: Writing about numbers
- 2017/10/19 Recommendation: When the revolution came for Amy Cuddy
- 2017/10/17 Recommendation: Get credit for your data – BMC Research Notes launches data notes
- 2017/10/17 Recommendation: Search for unpublished data by systematic reviewers: an audit
- 2017/09/28 Recommendation: OpenRefine: A free, open source, powerful tool for working with messy data
- 2017/09/25 Recommendation: How to increase value and reduce waste when research priorities are set
- 2017/09/20 Recommendation: Randomized Controlled Trials in Health Insurance Systems
- 2017/09/14 Recommendation: Announcing a new monthly feature: What’s going on in this graph
- 2017/09/13 Recommendation: Notice of Revised NIH Definition of Clinical Trial
- 2017/09/13 Recommendation: Trump’s Android and iPhone tweets - one year later
- 2017/09/05 Recommendation: Good enough practices in scientific computing
- 2017/08/16 Recommendation: Dryad Digital Repository
- 2017/07/12 Recommendation: Analyze Survey Data for Free
- 2017/07/12 Recommendation: Greece’s troubling prosecution of its former chief statistician
- 2017/07/10 Recommendation: Is the staggeringly profitable business of scientific publishing bad for science?
- 2017/06/26 Recommendation: The new Enigma Public
- 2017/06/19 Recommendation: Kaggle data
- 2017/06/16 Recommendation: Five Thirty Eight Data
- 2017/06/12 Recommendation: ProbOnto
- 2017/05/18 Recommendation: This is your machine learning system?
- 2017/05/18 Recommendation: Why R is Bad for You
- 2017/05/05 Recommendation: One in Five Clinical Trials for Adults with Cancer Never Finish
- 2017/05/04 Recommendation: The numbers for the Science March…
- 2017/05/02 Recommendation: ROSE: A package for binary imbalanced learning
- 2017/04/27 Recommendation: Proving the null hypothesis in clinical trials
- 2017/04/13 Recommendation: Genetics: Clues in the code
- 2017/04/13 Recommendation: How Bright Promise in Cancer Testing Fell Apart
- 2017/04/13 Recommendation: Standards and guidelines for the interpretation of sequence variants
- 2017/04/11 Recommendation: Blind analysis: Hide results to seek the truth
- 2017/04/10 Recommendation: Launch a Shiny App on Your Own Server in 4 Steps
- 2017/04/07 PMean: Obnoxious use of red text in RStudio
- 2017/04/04 Recommendation: Why be an independent consultant?
- 2017/03/24 Recommendation: PheKB. A knowledge base for discovering phenotypes from electronic health records
- 2017/03/23 Recommendation: Medicare Claims Synthetic Public Use Files (SynPUFs)
- 2017/03/12 Recommendation: Conducting Clinical Research
- 2017/02/23 Recommendation: Text Mining with R
- 2017/02/02 Recommendation: R and SQL Server 2016
- 2017/01/30 Recommendation: i2b2 Design Document. Ontology Management (ONT) Cell
- 2017/01/30 Recommendation: TSHS Resource Portal
- 2017/01/24 Recommendation: Guidelines for Assessment and Instruction in Statistics Education College Report 2016
- 2017/01/24 Recommendation: Statistical Issues Seen in Non-Statistics Proposals
- 2016/12/02 Recommendation: Defining Urban and Rural Areas in U.S. Epidemiologic Studies
- 2016/11/10 Recommendation: Practical advice for analysis of large, complex data sets
- 2016/10/20 Recommendation: A Tutorial on Loops in R
- 2016/10/20 Recommendation: Where Do You Run Your R Scripts?
- 2016/10/18 Recommendation: Oracle Dates and Times
- 2016/09/28 Recommendation: Published methodological quality of randomized controlled trials does not reflect the actual quality assessed in protocols
- 2016/09/23 PMean: By the skin of my teeth
- 2016/09/06 Recommendation: Diverse Perspectives on a Flipped Biostatistics Classroom
- 2016/09/01 Recommendation: Organizing data in spreadsheets
- 2016/09/01 Recommendation: What I need from statisticians
- 2016/08/25 Recommendation: The FAIR Guiding Principles for scientific data management and stewardship
- 2016/08/15 Recommendation: 10 Easy Steps to a Complete Understanding of SQL
- 2016/08/15 Recommendation: Tibbles (Tibbles are a modern take on data frames)
- 2016/08/08 PMean: Changing the font size in R
- 2016/08/08 PMean: Changing the font size in RStudio
- 2016/08/07 Recommendation: dplyr and pipes: the basics
- 2016/08/07 Recommendation: Hadley Wickham - the Man Who Revolutionized R
- 2016/08/03 Recommendation: Enrichment design studies should enhance signals of effectiveness.
- 2016/08/03 Recommendation: The Importance of Reproducible Research in High-Throughput Biology
- 2016/06/26 Recommendation: 100+ Interesting Data Sets for Statistics
- 2016/06/24 Recommendation: Institute for Digital Research and Education - Statistical Computing
- 2016/06/15 Recommendation: Handling date-times in R
- 2016/04/28 Recommendation: Bayesian computing with INLA
- 2016/04/18 Recommendation: Interpretation of Changes in Health-related Quality of Life: The Remarkable Universality of Half a Standard Deviation
- 2016/04/10 PMean: Some open source Kaplan Meier curves
- 2016/03/30 Recommendation: Reporting and methodological quality of sample size calculations in cluster randomized trials could be improved: a review
- 2016/03/30 Recommendation: The number of subjects per variable required in linear regression analyses
- 2016/03/08 Recommendation: PLOS ONE 2015 Reviewer Thank You
- 2016/02/29 Recommendation: Selection of controls in case-control studies
- 2016/02/05 PMean: Calculating power for a test of association in a two by two table
- 2016/02/05 PMean: Simulating power for a test of association in a two by two table
- 2016/02/03 Recommendation: The Survey Statistician
- 2016/01/25 Recommendation: The Coin Flip: A Fundamentally Unfair Proposition
- 2016/01/25 Recommendation: The Empirical Evidence of Bias in Trials Measuring Treatment Differences
- 2016/01/19 Recommendation: ENCODE: Encyclopedia of DNA Elements
- 2016/01/13 PMean: My book chapter on R
- 2016/01/13 Recommendation: Lyndon B. Johnson Space Center job opening for a GS-14 Statistician
- 2016/01/06 Recommendation: A Grant Submission New Year’s Resolution
- 2015/12/20 Recommendation: Points to consider on switching between superiority and non-inferiority
- 2015/12/07 Recommendation: Differences between information in registries and articles did not influence publication acceptance
- 2015/12/07 Recommendation: The COMPare Project
- 2015/12/02 PMean: A book review of my first book
- 2015/12/02 Recommendation: Safeguarding Patients in Clinical Trials with High Mortality Rates
- 2015/11/16 PMean: My Google Scholar profile
- 2015/10/13 PMean: How many research subjects…
- 2015/09/24 Recommendation: PS: Power and Sample Size Calculation
- 2015/09/16 Recommendation: Research vs Quality Improvement
- 2015/08/20 Recommendation: R number 6 in IEEE 2015 Top Programming Languages, Rising 3 Places
- 2015/06/30 Recommendation: This is Statistics promotional toolkit
- 2015/06/03 PMean: My research contributions to Evidence Based Medicine
- 2015/06/03 PMean: My research contributions to patient accrual models
- 2015/05/30 PMean: My research contributions to numerical accuracy
- 2015/05/30 PMean: My research contributions to reproductive toxicology
- 2015/05/27 PMean: I am now a number in the ORCID database
- 2015/05/26 Recommendation: Developing Grant Proposals: Guidelines for Statisticians Collaborating Under Limited Resources
- 2015/05/20 Recommendation: PLOS ONE 2014 Reviewer Thank You
- 2015/04/30 Recommendation: An Introduction to Social Media for Scientists
- 2015/04/30 Recommendation: Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm
- 2015/04/30 Recommendation: Improving Bioscience Research Reporting: The ARRIVE Guidelines for Reporting Animal Research
- 2015/04/16 Recommendation: Restoring invisible and abandoned trials
- 2015/04/12 PMean: Equations using MathType
- 2015/04/03 PMean: Examining relationships in R
- 2015/02/24 Recommendation: Editorial (Basic and Applied Social Psychology)
- 2015/02/24 Recommendation: Rich Data, Poor Data
- 2015/02/03 Recommendation: New R Package: cdcfluview
- 2015/02/03 Recommendation: P-Values
- 2015/01/15 Recommendation: The answer is 17 years, what is the question. Understanding time lags in translational research
- 2015/01/12 Recommendation: Tessera. Open source environment for deep analysis of large complex data
- 2015/01/08 Recommendation: Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement
- 2014/12/23 Recommendation: Report on Survey Participation Refusals
- 2014/12/11 Recommendation: In search of justification for the unpredictability paradox
- 2014/12/10 Recommendation: Requiring fuel gauges. A pitch for justifying impact evaluation sample size assumptions
- 2014/11/24 Recommendation: What Teachers Should Know about the Bootstrap: Resampling in the Undergraduate Statistics Curriculum
- 2014/11/01 PMean: Cox regression in R
- 2014/11/01 PMean: More Kaplan-Meier curves in R
- 2014/10/31 PMean: Kaplan-Meier curves in R
- 2014/08/19 Recommendation: Communicating Statistical Findings to Consulting Clients Operating in a Decisionmaking Climate: Best and Worst Practices
- 2014/08/13 Recommendation: Sample size of 12 per group rule of thumb for a pilot study
- 2014/07/24 PMean: What is the probability of a probability of one
- 2014/07/22 PMean: An example of a simple sample size justification
- 2014/07/14 Recommendation: Special issue–Using Big Data to Transform Care
- 2014/06/16 Recommendation: MLPowSim software
- 2014/06/10 Recommendation: Comparisons within randomised groups can be very misleading
- 2014/05/31 PMean: What should go into a data codebook
- 2014/05/30 Recommendation: FDA: R OK for drug trials
- 2014/05/06 Recommendation: A review of methods for missing data
- 2014/05/05 Recommendation: Meet John Gawalt, Director of the National Center for Science and Engineering Statistics
- 2014/05/03 PMean: Using BUGS within the R programming environment
- 2014/05/01 Recommendation: Data doesn’t speak for itself
- 2014/05/01 Recommendation: Not all scientific studies are created equal
- 2014/04/28 Recommendation: The random risks of randomised trials
- 2014/04/14 PMean: Using statistical design principles to plan a Monte Carlo analysis – part 2
- 2014/04/08 Recommendation: More on Big Data Training for the Scientific Workforce
- 2014/04/06 Recommendation: Predicting clinical trial results based on announcements of interim analyses
- 2014/03/12 PMean: Estimating the efficiency of a completely randomized block design
- 2014/03/05 Recommendation: foreach: Foreach looping construct for R
- 2014/03/05 Recommendation: Meet Charles J. Rothwell, Director, National Center for Health Statistics
- 2014/03/05 Recommendation: Qualifications for Teaching an Introductory Statistics Course
- 2014/02/26 Recommendation: plotrix: Various plotting functions
- 2014/02/25 Recommendation: A guide to the line style arguments for R graphics
- 2014/02/24 PMean: NIH is interested in big data
- 2014/02/20 Recommendation: Why Coincidences, Miracles And Rare Events Happen Every Day.
- 2014/02/10 Recommendation: Why randomized controlled trials fail but needn’t: 2. Failure to employ physiological statistics, or the only formula a clinician-trialist is ever likely to need (or understand!)
- 2014/02/03 Recommendation: Troubleshooting Public Data Archiving: Suggestions to Increase Participation
- 2014/01/29 Recommendation: Will 2015 be the Beginning of the End for SAS and SPSS?
- 2014/01/24 Recommendation: The Next Billionaire: A Statistician Who Changed Medicine.
- 2014/01/17 Recommendation: Large randomized controlled trials are ready for retirement
- 2014/01/15 PMean: Resources for a workshop in R
- 2014/01/15 Recommendation: Statistics Attitude Survey scale
- 2014/01/13 Recommendation: Git can facilitate greater reproducibility and increased transparency in science
- 2014/01/09 Recommendation: What’s so good about early anyway.
- 2013/12/20 Recommendation: Comparison of Logistic Regression versus Propensity Score When the Number of Events Is Low and There Are Multiple Confounders
- 2013/12/18 PMean: Sample size for comparing two diagnostic tests
- 2013/12/12 Recommendation: DataMind website
- 2013/12/12 Recommendation: Study Development (Kansas City area resource)
- 2013/12/09 Recommendation: Use equal sign for assignmentin R?
- 2013/12/05 Recommendation: Any other comments? Open questions on questionnaires. A bane or a bonus to research?
- 2013/12/04 PMean: The cost of a bad prediction
- 2013/12/03 Recommendation: How confidence intervals become confusion intervals.
- 2013/12/02 Recommendation: The riddle of experience vs. memory
- 2013/11/29 Recommendation: Row over breast cancer screening shows that scientists bring some subjectivity into their work.
- 2013/11/28 Recommendation: Revised standards for statistical evidence
- 2013/11/27 Recommendation: Twenty tips for interpreting scientific claims
- 2008/06/07 Eliciting a prior distribution for rejection/refusal rates
- 2008/06/07 Eliciting a prior distribution for rejection/refusal rates
- 2008/05/27 How wide can you make a line of your web page?
- 2008/05/07 Slipped deadlines and sample size shortfalls in a random sample of research studies
- 2008/05/07 Slipped deadlines and sample size shortfalls in a random sample of research studies
- 2008/05/01 Monitoring refusals and exclusions in a clinical trial
- 2008/05/01 Monitoring refusals and exclusions in a clinical trial
- 2008/02/25 Assessing the assumption of an exponential distribution
- 2008/01/24 A simple example of a Kaplan-Meier curve
- 2008/01/09 Too much power and precision?
- 2007/11/26 Testing for an increasing trend in a proportion
- 2007/11/19 Tracking adverse events during kidney biopsy
- 2007/11/18 Tracking central line infections over time
- 2007/11/15 Monitoring adverse events during peritoneal dialysis
- 2007/11/15 Stair step interpolation in R
- 2007/10/10 Confidence interval for a rate
- 2007/10/09 Case study of accrual in a clinical trial, part 2
- 2007/09/21 Patterns to look for in a histogram
- 2007/09/11 Case study of accrual in a clinical trial
- 2007/08/30 Are we assuming a normal sample or a normal population?
- 2007/08/22 Analyzing data from a simple crossover design
- 2007/07/26 Should I use the heteroscedastic t-test?
- 2007/07/20 Classic calculations for a diagnostic test
- 2007/06/28 How two bad control groups can add up to one good comparison
- 2007/06/22 Can the standard deviation be more than half of the range?
- 2007/06/14 Seven different formulas for the odds ratio
- 2007/06/13 Accounting for cyclical trends in a regression model
- 2007/06/04 Calculating probabilities involving correlated normal variables
- 2007/04/17 Fitting a beta binomial model using BUGS
- 2007/04/13 A simple illustration of the Metropolis algorithm
- 2007/04/05 Tracking adverse events during kidney biopsy, Part 2
- 2007/03/22 Confidence intervals for count data
- 2007/03/18 What I’m working on right now
- 2007/03/14 Tracking adverse events during kidney biopsy
- 2007/03/07 Calculating a P control chart
- 2007/03/07 P control chart, answers to on your own exercises
- 2007/03/06 Analysis of Means answers to on your own exercises
- 2007/03/06 Calculation of Analysis of Means limits
- 2007/03/02 Analysis of Means calculations
- 2007/03/02 Calculating an XBAR-S control chart
- 2007/03/02 XBAR-S control chart, answers to on your own exercise
- 2007/03/01 Using a pocket calculator to compute a standard deviation
- 2007/02/19 Formulas for cumulative Poisson and binomial probabilities
- 2007/02/14 Watch out for ambiguous data
- 2007/02/11 Compound interest and powers
- 2007/02/06 When is a control chart not a control chart?
- 2007/01/30 Do your own power and sample size calculations
- 2007/01/26 Fitting a difference in exponential functions
- 2007/01/18 Tests of hypothesis and confidence intervals involving a correlation coefficient
- 2006/11/17 A simple Bayesian model for accrual
- 2006/11/16 Fitting a quadratic regression model
- 2006/11/02 Statistical concerns in research studies involving children
- 2006/10/18 A simple example of a mixed linear regression model
- 2006/10/17 Ethical concerns about research in children
- 2006/10/16 Mathematical derivation of the odds form of Bayes theorem
- 2006/10/05 Book reviews for Statistical Evidence
- 2006/09/07 Rules for rounding numbers
- 2006/09/02 Continuous monitoring of the number needed to harm
- 2006/08/31 Changing page breaks in SPSS
- 2006/08/22 Wikipedia entry on Binomial Confidence Interval, Part 2
- 2006/07/18 Selecting randomly from a list
- 2006/06/29 The problem with ranking ordinal scales
- 2006/06/28 Colors for R graphs
- 2006/05/30 Monitoring accrual rates
- 2006/05/26 Relationship between the standard deviation and the sample size
- 2006/04/18 Univariate Model Based Clustering
- 2006/04/17 Placing the symbol X-bar in a document
- 2006/03/30 How many charts should I pull?
- 2006/03/24 Seminar notes, Creating More Effective Graphics
- 2006/02/13 Checking a Chi-square test
- 2006/02/03 Reporting serious adverse events
- 2006/01/24 Randomization tests for paired data
- 2006/01/12 First peek at the cover of my new book
- 2005/12/12 The HapMap project
- 2005/10/05 Quality control exercises, Part 2
- 2005/09/19 An error slips through the peer review process
- 2005/09/06 Finding more information about a gene
- 2005/09/01 Quality control exercises
- 2005/08/16 Another disaster averted
- 2005/08/15 Contacting and working with me
- 2005/08/01 Information content of a continuous distribution
- 2005/07/29 Expected value and moments
- 2005/06/20 What does a 60% drop mean?
- 2005/06/16 Step-down procedures for multiple comparisons
- 2005/05/24 When one group only has a single observation
- 2005/05/20 Adjusting for covariate imbalance
- 2005/05/19 Computing normal probabilities
- 2005/05/16 A disaster averted
- 2005/05/13 Hedge’s G
- 2005/05/11 Confidence intervals around a safety level
- 2005/05/06 Preserving spacing in html code
- 2005/04/26 Searching the Internet
- 2005/04/19 Measuring agreement
- 2005/03/18 Meta-analysis
- 2005/03/15 Digitizing a graph
- 2005/03/11 Cumulative meta-analysis
- 2005/02/09 Continuous variables in a logistic regression model
- 2005/02/01 A surprising application of the harmonic mean
- 2005/01/12 Forest plots
- 2004/12/15 Neyman bias
- 2004/12/07 New in SPSS version 13.0
- 2004/11/30 Sample size for cluster randomized trials
- 2004/11/09 Testing multinomial proportions
- 2004/09/22 Sample size for an ordinal outcome
- 2004/09/15 Rates versus proportions
- 2004/08/05 Microsoft Excel Pivot Tables
- 2004/08/04 Searching for bimodality
- 2004/07/27 Confidence intervals for proportions
- 2004/07/19 Aliasing patterns
- 2004/07/14 Randomization test
- 2004/07/09 Provisional means algorithm
- 2004/07/05 Sample size for a diagnostic test
- 2004/07/01 Early stopping
- 2004/07/01 Early stopping in an animal study
- 2004/06/17 McNemar’s Test
- 2004/06/01 Categorical variables in a logistic regression model
- 2004/05/20 Sample size calculation example
- 2004/05/18 Goodness of fit test
- 2004/05/10 Information Theory
- 2004/04/12 Clinically trivial effects
- 2004/04/12 One tailed p-values
- 2004/04/08 Interactions in logistic regression
- 2004/03/12 Steps for establishing a quality control program
- 2004/02/12 S-shaped curves
- 2003/11/26 Accuracy of computations
- 2003/10/01 A simple model of nonlinear growth
- 2003/06/20 Steps in a typical ANOVA model
- 2003/06/05 Pitch the pie! Ban the bar!
- 2003/05/09 Cluster randomization
- 2003/05/06 Maximum likelihood estimation
- 2002/11/06 Displaying tables of percentages
- 2002/11/01 Post hoc power
- 2002/10/11 Log transformation
- 2002/10/11 Steps in a typical survival data analysis
- 2002/09/11 Checking the assumption of normality
- 2002/08/27 Data management for survival data
- 2002/08/27 Data management for survival data
- 2002/08/01 Exploring interactions in a linear regression model
- 2002/07/26 Longitudinal data
- 2002/07/23 The concepts behind the logistic regression model
- 2002/07/22 SPSS dialog boxes for logistic regression
- 2002/07/12 So you want to write a questionnaire
- 2002/06/24 Interpreting coefficients in a linear regression model
- 2002/06/21 SPSS dialog boxes for a descriptive analysis
- 2002/06/21 SPSS dialog boxes for linear regression models
- 2002/05/06 Why 95% confidence limits?
- 2002/03/06 SPSS citation
- 2002/01/16 Biography
- 2001/11/02 Unequal group sizes
- 2001/10/11 BMJ letter
- 2001/10/11 Problems with a very small sample
- 2001/10/11 Steps in a descriptive model
- 2001/07/30 Parametric versus nonparametric tests
- 2001/07/30 Web polls
- 2001/01/24 Loading ODBC drivers from the Microsoft Data Access Pack
- 2001/01/19 The minimal impact of population size on power and precision
- 2001/01/09 Odds ratio versus relative risk
- 2000/12/22 Protocol changes.
- 2000/09/28 Sample size for the Mann-Whitney U test
- 2000/08/24 Software used to create these web pages.
- 2000/08/23 Binary outcome sample size calculations
- 2000/08/23 Fisher’s Exact Test
- 2000/08/23 Stratified random sample.
- 2000/08/22 Alternating treatments
- 2000/06/27 Kaplan Meier
- 2000/02/02 Links from other sites
- 2000/01/28 Acknowledgements
- 2000/01/28 Exporting SPSS graphs and tables.
- 2000/01/28 Important disclaimer.
- 2000/01/28 Outliers
- 2000/01/28 Quota stratified random sampling.
- 2000/01/28 Spreadsheet or Database?
- 2000/01/27
- 2000/01/27 Bootstrap
- 2000/01/27 Composite scores
- 2000/01/27 Flaws in a research paper
- 2000/01/27 Intention to treat
- 2000/01/27 Jargon in Statistics
- 2000/01/27 Mixture models
- 2000/01/27 Number Needed to Treat
- 2000/01/27 Physician Performance Data
- 2000/01/27 Regression to the mean
- 2000/01/27 Sigma in the control chart.
- 2000/01/27 Splines
- 2000/01/27 Stein’s paradox
- 2000/01/27 What is collinearity?
- 2000/01/26 Best fitting curve
- 2000/01/26 Sample size for a confidence interval
- 1999/12/15 Circular data models
- 1999/11/15 Meta-analysis for a diagnostic
- 1999/11/15 Meta-analysis for a diagnostic
- 1999/09/27 Guidelines for logistic regression models
- 1999/09/21 Poisson regression model
- 1999/09/21 Steps in a typical linear regression analysis
- 1999/09/20 Importing spreadsheet data into SPSS
- 1999/09/18 Documenting your SPSS data sets
- 1999/09/18 Inputting a two-by-two table into SPSS
- 1999/09/18 Modifying SPSS data
- 1999/09/03 Sample size for a diagnostic study
- 1999/08/19 ROC curve
- 1999/08/18 Date calculations in SPSS
- 1999/08/18 How to randomize
- 1999/08/18 Importing database files into SPSS
- 1999/08/18 R-squared
- 1999/04/18 T-test
- 1999/01/15 Merging files in SPSS
- 0001/01/01 Criticisms of the IHME COVID-19 model