The impact of bias due to exponentiation in the estimation of hazard, risk, and odds ratios: an empirical investigation from 1,495,059 effect sizes from MEDLINE/PubMed abstracts

The impact of bias due to exponentiation in the estimation of hazard, risk, and odds ratios: an empirical investigation from 1,495,059 effect sizes from MEDLINE/PubMed abstracts

Abstract Background Parameter estimation using regression methods plays a vital role in medical research. Often a non-linear transformation of a regression parameter is preferred for its more intuitive interpretation. Important examples in medical research are odds ratios, risk ratios, and hazard ra...

Full description

Saved in:
Bibliographic Details
Main Authors: Tina Košuta, Georg Heinze, Andrej Kastrin, Ioannis Kosmidis, Rok Blagus
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Medical Research Methodology
Subjects:
Parameter estimation
Bias reduction
Odds/risk/hazard ratios
Text mining
Shrinkage
Brglm2
Online Access:https://doi.org/10.1186/s12874-025-02573-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12874-025-02573-7

Similar Items