In statistics, we talk about a “population” as being everyone that could possibly be included in a study, such as everyone who lives in New York City. In contrast, we talk about a “sample” as being a ...

Sample size is not magic. It’s a good mantra, worth repeating. It’s even worth putting into song, thanks to Ted Berg. But it’s not magic, and it’s not worth all the inaction it can inspire. Spend all ...

We present a simple sample-size formula for weighted log-rank statistics applied to clustered survival data with variable cluster sizes and arbitrary treatment assignments within clusters. This ...

Let me issue an emphatic disclaimer up top: I love the PGA Tour’s “Strokes Gained” metrics, and I’ve loved them for years. As the statistical brain child of Columbia University professor Mark Broadie, ...