Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review.

ABSTRACT:

Background and objectives

When developing a clinical prediction model, assuming a linear relationship between the continuous predictors and outcome is not recommended. Incorrect specification of the functional form of continuous predictors could reduce predictive accuracy. We examine how continuous predictors are handled in studies developing a clinical prediction model.

Methods

We searched PubMed for clinical prediction model studies developing a logistic regression model for a binary outcome, published between July 01, 2020, and July 30, 2020.

Results

In total, 118 studies were included in the review (18 studies (15%) assessed the linearity assumption or used methods to handle nonlinearity, and 100 studies (85%) did not). Transformation and splines were commonly use

SUBMITTER: Ma J 

PROVIDER: S-EPMC11913776 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature