Riinu and I are sitting in Frankfurt airport discussing the paper retracted in JAMA this week. During analysis, the treatment variable coded [1,2] was recoded in error to [1,0]. The...continue reading.
Author: Ewen Harrison
Background In healthcare, we deal with a lot of binary outcomes. Death yes/no, disease recurrence yes/no, for instance. These outcomes are often easily analysed using binary logistic regression via finalfit(). When...continue reading.
Data security is paramount and encryptr was written to make this easier for non-experts. Columns of data can be encrypted with a couple of lines of R code, and single...continue reading.
The new finalfit tables gallery vignette is an excellent reference and quick tutorial describing the variety of table outputs available. It focuses on crosstables and regression tables, and demonstrates how...continue reading.
Many of our projects involve getting doctors, nurses, and medical students to collect data on the patients they are looking after. We want to involve many of them in data...continue reading.
If your new to modelling in R and don’t know what this title means, you definitely want to look into doing it. I’ve always been a fan of converting model...continue reading.
The finafit package brings together the day-to-day functions we use to generate final results tables and plots when modelling. I spent many years repeatedly manually copying results from R analyses...continue reading.
[crayon-5b7bf0b57c71c617194310-i/] is a useful frequentist approach to hierarchical/multilevel linear regression modelling. For good reason, the model output only includes t-values and doesn’t include p-values (partly due to the difficulty in estimating...continue reading.