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.
We are using multiple imputation more frequently to “fill in” missing data in clinical datasets. Multiple datasets are created, models run, and results pooled so conclusions can be drawn. We’ve...continue reading.
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.
As a journal editor, I often receive studies in which the investigators fail to describe, analyse, or even acknowledge missing data. This is frustrating, as it is often of the...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.
Your favourite package for getting model outputs directly into publication ready tables is now available on CRAN. They make you work for it! Thank you to all that helped. The...continue reading.
Thank you for the many requests to provide some extra info on how best to get finalfit results out of RStudio, and particularly into Microsoft Word. Here is how. Make...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.
I’ve had few enquires about how to install the summarizer package on a server without internet access, such as the NHS Safe Havens. Uploadsummarizer-master.zip from here to server. Unzip. Run...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.
Data Science / Machine learning / Python / R News / Spark
Data engineering functions on large datasets in Microsoft Fabric
September 25, 2024
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
