Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review.

ABSTRACT:

Background

Having an appropriate sample size is important when developing a clinical prediction model. We aimed to review how sample size is considered in studies developing a prediction model for a binary outcome.

Methods

We searched PubMed for studies published between 01/07/2020 and 30/07/2020 and reviewed the sample size calculations used to develop the prediction models. Using the available information, we calculated the minimum sample size that would be needed to estimate overall risk and minimise overfitting in each study and summarised the difference between the calculated and used sample size.

Results

A total of 119 studies were included, of which nine studies provided sample size justification (8%). The recommended minimum sample size could be calculated for

SUBMITTER: Dhiman P 

PROVIDER: S-EPMC10439652 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature