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This is the kind of #Statistics comparative study we need more of.

What is the best minimal-assumption method for estimating the relationship between continuous x and probabilty of survival to a fixed time t? New blog article: fharrell.com/post/kmove #Statistics #Rstats

High recommended reading, with clear explanations of why traditional frequentist statistics addresses the wrong question. #Statistics

Blog article on a formal way to borrow treatment effect information across different clinical trial outcomes has been expanded: fharrell.com/post/yborrow/ #Statistics

datamethods.org is a place where methodologists meet subject matter experts for in-depth discussions + Q&A related to study design, measurement, data analysis, interpretation, and more. Now on a new server with the latest version of discourse software. Come join us there.

Input needed from clinical researchers and methodologists who have knowledge of patient reported outcomes, minimum clinically important differences, and possibly change vs absolute status: discourse.datamethods.org/t/challenges-i…

Regression Modeling Strategies Virtual Course May 15-16, 19-20. More than regression:accuracy, preserving information, flexible modeling, model validation, missing data, navigating statistical models #MachineLearning +more. hbiostat.org/doc/rms/4day.h… #rmscourse Vanderbilt University Data Science Institute

For an introduction to R/RStudio & an efficient comprehensive R workflow, to learn about the R rms package, or to enhance your regression analysis skills to be ready for the RMS 4-day course, consider taking the Pre-RMS course May 12 hbiostat.org/doc/rms/1day.h… #rstats #rmscourse

For an introduction to R/RStudio & an efficient comprehensive R workflow, to learn about the R rms package, or to enhance your regression analysis skills to be ready for the RMS 4-day course, consider taking the Pre-RMS course May 12 hbiostat.org/doc/rms/1day.h… #rstats #rmscourse

Need a statistical modeling tune-up or to keep up to date with modern methods for developing and validating predictive models? Contrast regression with #MachineLearning? Regression Modeling Strategies 4-day virtual course May 15-16, 19-20 hbiostat.org/doc/rms/4day.h… #Statistics

Just reading a 1984 paper on Cox regression models that casually drops terms like "general index of predictive discrimination" and "incomplete principal components regression" which I'm trying to understand for thesis!!! These guys were cooking before overfitting was even a thing

Registration for tomorrow's 1-day course on R, the rms package, and linear models ends at 8pm CDT today. There's still room for those interested. hbiostat.org/doc/rms/1day #rstats #statistics

Today we start the 4-day Regression Modeling Strategies course. Always energized by the bright &motivated participants. Partnering a PhD biostatistician (me) w/a PhD epidemiologist (Drew Levy) creates a nice combination of viewpoints. #rmscourse hbiostat.org/rms

Very interesting paper on causal inference from statistical models; perhaps more actionable than most causal inference papers: tandfonline.com/doi/full/10.10… #Statistics

🧵 7/ Unfortunately, the outcome measurement here is too flawed for this trial to change practice in my opinion. pmc.ncbi.nlm.nih.gov/articles/PMC32… And HT Frank Harrell #bbr Ch. 14 also Stephen John Senn his figure above too

Frank Harrell Another reason to embrace longitudinal ordinal models! onlinelibrary.wiley.com/doi/10.1002/si…

#Statistics thought of the day: challenges and resources for analysis of high-dimensional data: hbiostat.org/hdata

My online Quarto-based html books and blog use hypothes.is to allow readers to add Q&A, comments, and annotations. I've added some tips for adding drawings and diagrams to annotations here: hbiostat.org/comment #Statistics #rmscourse #bbr

#Statistics thought of the day: general adjusted pseudo R^2 measures applying to a wide variety of statistical models and types of Y: hbiostat.org/bib/r2

#Statistics thought of the day: if you need to do power calculations for a two-group comparison on an ordinal or continuous response variable Y with or without clumping at a specific value (e.g., zero) of Y, take a look at fharrell.com/post/pop/ #rstats