Hi everyone, Ive seen a lot of textbooks and online resources mentioned on this forum, but haven’t found any that have a lot of solved examples or solutions to problems. I am a physician, trying to learn probability and statistics, and am looking for such resources. Khan academy has some problems with solutions but not nearly enough to get a thorough understanding. I am also taking a intro to probability course on Coursera which suggests this book: Chapter 2 Conditional Probability | bookdown-demo.knit which has great explanations but no solutions. Any help would be deeply appreciated. Thank y ..read more

I brought this up after Day 1’s lecture but I thought it might warrant further discussion/elaboration. (Apologies for the length!) I am of the opinion that a “strong” background/foundation in theory is important to becoming a good applied statistician. I leave “strong” in quotation marks to be purposefully vague, as I don’t think it can really be quantified. The concept may be related to “mathematical maturity” or “developing statistical intuition”. (I welcome contrasting viewpoints of course!) Reasoning (aside) I came to this opinion when I had to plan a study (design, sample size, etc.) for ..read more

Hi, I’m a PhD candidate in cell biology that (in retrospect) has never received extensive statistical training on how to best analyse the most common experimental design in my field. Most of what I am asking here is inspired from self-study of literature by Lazic, Harrell, Gelman, Lakens, and McElreath but I feel a need for clarifying some questions. I hope, I am in an appropriate place here. Background Very often, cell biology experiments are influenced by variations spanning multiple levels. But we commonly analyse (I learned how to analyse) variability in these experiments using t-tests o ..read more

I need some explanation of the results I got my multi-state Cox model. I looked at the absolute risk or the proportion of people in a state at a particular age for a time-dependent covariate which is whether the patients having long-stay hospital admissions are more at risk to be institutionalised? The curves from the Ps(t) using Aalen-Johansen shows that there was a greater proportion of people with Long-stay admission in the institutionalised state than people without long-stay admission. But the results from the multi-state Cox model i.e, the HR are lowered for patients with long-stay admis ..read more

For those who are interested in the fundamental mathematics that connects Bayesian, Likelihood, and Frequentist inference, Dr. Korbinian Strimmer from Manchester University has written and published these course notes I’m finding helpful. Understanding the information here will aid in understanding the applications in RMS. Strimmer, K (2021) Statistical Methods: Likelihood, Bayes and Regression Course Notes 2 posts - 2 participants Read full topic ..read more

This is a topic for questions, answers, and discussions about session 19 of the Biostatistics for Biomedical Research web course airing on 2020-06-11. Session topics and a link to the course notes with audio narration are listed here. The session covers analysis of serial data (longitudinal data). 3 posts - 2 participants Read full topic ..read more

Introductory epidemiology courses that physicians take as part of their EBM training don’t always explicitly discuss exchangeability. Yet it seems like this concept might be important for us to understand (in at least a crude way) when reading medical studies. Could misunderstanding and/or poor/inconsistent teaching around this topic underlie some of our bad critical appraisal habits (e.g., comparing columns in Table 1 of RCTs)? Written explanations of exchangeability become complicated very quickly- it seems like advanced math/stats/epi training is needed for deep understanding. I could only ..read more

This is a topic for questions, answers, and discussions about session 12 of the Biostatistics for Biomedical Research web course airing on 2020-01-31. Session topics are listed here. The session covers correlation coefficients, precision and sample size calculations for them, and the use of the bootstrap and Monte Carlo simulation to study and compensate for the effects of fishing expeditions based on examining many possible correlations. 6 posts - 3 participants Read full topic ..read more

This is a place for questions, answers, and discussion about session 11 of the Biostatistics for Biomedical Research airing 2020-01-24 introducing the proportional odds model as a generalization of the Wilcoxon and Kruskal-Wallis tests. Session topics are listed here. The video will be in the YouTube BBRcourse Channel and will be directly available here after the broadcast. Power calculations are covered, and Bayesian ordinal logistic regression is briefly introduced. 18 posts - 6 participants Read full topic ..read more

This is a place for questions, answers, and discussion about session 10 of the Biostatistics for Biomedical Research airing 2020-01-17 covering nonparametric statistical tests and associated confidence intervals. Session topics are listed here. The video will be in the YouTube BBRcourse Channel and will be directly available here after the broadcast. 4 posts - 3 participants Read full topic ..read more