Standardised survival probabilities: a useful and informative tool for reporting regression models for survival data.

ABSTRACT:

Background

When interested in studying the effect of a treatment (or other exposure) on a time-to-event outcome, the most popular approach is to estimate survival probabilities using the Kaplan-Meier estimator. In the presence of confounding, regression models are fitted, and results are often summarised as hazard ratios. However, despite their broad use, hazard ratios are frequently misinterpreted as relative risks instead of relative rates.

Methods

We discuss measures for summarising the analysis from a regression model that overcome some of the limitations associated with hazard ratios. Such measures are the standardised survival probabilities for treated and untreated: survival probabilities if everyone in the population received treatment and if everyone did not. The di

SUBMITTER: Syriopoulou E 

PROVIDER: S-EPMC9643385 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature