Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression
Sign Up to like & getrecommendations! Published in 2021 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2021.3909
Abstract: Key Points Question How does the performance of different methods to reduce bias for clinical prediction algorithms compare when measured by disparate impact and equal opportunity difference? Findings In a cohort study of 314 903 White… read more here.
Keywords: clinical prediction; reduce bias; methods reduce; prediction models ... See more keywords
Does pattern mixture modelling reduce bias due to informative attrition compared to fitting a mixed effects model to the available cases or data imputed using multiple imputation?: a simulation study
Sign Up to like & getrecommendations! Published in 2018 at "BMC Medical Research Methodology"
DOI: 10.1186/s12874-018-0548-0
Abstract: BackgroundInformative attrition occurs when the reason participants drop out from a study is associated with the study outcome. Analysing data with informative attrition can bias longitudinal study inferences. Approaches exist to reduce bias when analysing… read more here.
Keywords: informative attrition; attrition; reduce bias; study ... See more keywords