Category Archives: Uncategorized

Melanie Wall 2023-06-24 knitr::opts_chunk$set(echo = TRUE) This document shows different ways to code/model binomial count (event/trials) data in r glm() packange and also demonstrates the results when we aggregate data across units and also when we account for overdispersion across … Continue reading →

I had a collaborative paper reviewed this week that had in it odds ratios (OR) from logistic regressions (used to examine whether one way of measuring norms was a stronger predictor of a dichotomous behavior than another measure of the … Continue reading →

Towards empirical methods for studying intersectionality in research The link above contains slides I put together in Jan-March 2021 for a talk before two audiences of Research fellows at Columbia University (the Psychiatric Epidemiology training program and the LGBT health … Continue reading →

In addition to reconsidering how we operationalize racialized categories in our statistical models, to move towards a more anti-racist research agenda we must also consider intersectionality (ethnicity, gender, age, sexual orientation, social economic class, disability).   I am grateful for … Continue reading →

In meeting today a colleague said “It’s interesting that there was a time in the not too distant past when data analysis of outcomes by race was discourage and if it were to be done needed to have a strong … Continue reading →

The outbreak of COVID-19 around the world has led to the spread of fear and panic for individuals and communities. In addition to following physical precautions guidelines, individuals should be taking care of their psychological well-being. This guide includes tips … Continue reading →

Mailman School of Public Health at Columbia University asked to “interview” me for a profile about biostatistics faculty.  Here’s what I said… Tell us about yourself, your background:  I am originally from St. Louis and a first-generation college student.  My dad was … Continue reading →

This post is heavy on questions, and not too many answers.  Whenever I’m faced with a data analysis that seems to warrant using a survival analysis model, I get a bit nervous.   There is something about modeling time-to-event data … Continue reading →

At work I recently finalized analyses for a clinical trial that had 4 arms (double blind with 3 dose levels and a placebo) testing a nutritional supplement which may be helpful for cognition.  There were measurements at baseline (before randomization) … Continue reading →

This post shows how to calculate a confidence interval for a ratio A/B when you have estimates for A and B and also have their standard errors s.e.(A), and s.e.(B).   This problem may arise if you have prevalence estimates … Continue reading →