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In May 2023, the US Food and Drug Administration (FDA) issued final guidance on adjusting for covariates in randomized clinical trials...

When a clinical trial demonstrates positive efficacy results, there is often interest in conducting various post-hoc analyses, including...

You might have heard that the bootstrap procedure can be seen as an approximation of Bayesian inference. This post presents two examples...

Correlated Bernoulli data are quite common in medical research and clinical trials. In most cases, the correlations between the binary...

Consider a video game played by two teams: 𝑚 boys vs 𝑛 girls. Each player puts $1 on the table (ticket price), then all players start...

Calculating group sequential boundaries involves recursive evaluations of complex multivariate normal integrals. The Markov property of...

A recent LinkedIn post by a fellow statistician caught my attention. The author touted the appealing concept of NNT, which is widely...

The EM algorithm is an iterative optimization method used for parameter estimation, such as maximum likelihood estimation (MLE), in the...

I recently stumbled upon an interesting LinkedIn post by a biostatistics professor. He stated that " Bayesians should take the term...

You might be surprised to learn that the term "least squares mean" has no intrinsic or logical meaning in any traditional sense in...