## Sample size for prediction model research

##### Prof Richard Riley provides the following talk on "Sample size calculations for clinical prediction model research (goodbye rules of thumb)" in the following short (~16min) video.

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An extended talk was given to the MRC Biostatistics Unit, Cambridge, entitled "PROGRESS in sample size calculations for clinical prediction model research" and is available to view here. And a workshop talk on the topic is given here. Related papers are shown here.

Dr Joie Ensor gave the following talk on "Building and validating prediction models: An overview of sample size guidance and the pmsampsize package". He discusses some of the considerations when deciding how much data is ‘enough’ when looking to i) develop a new clinical prediction model (CPM) and ii) validate an existing CPM. Further, he showcases his Stata software pmsampsize.

##### Prof Richard Riley provides the following talk on "Sample size calculations for external validation of a clinical prediction model". Related papers are shown here.

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Lucinda Archer gave the talk "Minimum sample size for external validation of a clinical prediction model with a continuous outcome" for the MEMTAB 2020 conference, as follows. The corresponding paper is now published (PDF):

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Dr Kym Snell gave the following short talk on "Simulation-based sample size calculations for studies externally validating a prediction model" for MEMTAB 2020. The corresponding paper is now published (PDF):