I’ve previously written about methods from causal inference (G-formula and G-estimation) that can be used to exploit data observed after patients experience intercurrent events (ICEs) to improve the precision (and hence statistical power) of estimates of treatment effects in clinical trials. Thanks to useful comments…
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I had an interesting discussion at work today (among people I think would all call themselves statisticians!) about the distinction(s) between statistics and machine learning. It is something I am …