Estimating treatment effects in observational studies with both prevalent and incident cohorts

DOI10.1002/CJS.11317zbMath1474.62342OpenAlexW2607186425WikidataQ47746947 ScholiaQ47746947MaRDI QIDQ4960850

Jing Ning, Xuelin Huang, Chuan Hong, Liang Li, Yu Shen

Publication date: 23 April 2020

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5646711

zbMATH Keywords

selection biasprevalent cohortsampling biaspropensity scoreincident cohort

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (3)

Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records ⋮ A note on the partial likelihood estimator of the proportional hazards model for combined incident and prevalent cohort data ⋮ A risk set adjustment for proportional hazards modeling of combined cohort data

This page was built for publication: Estimating treatment effects in observational studies with both prevalent and incident cohorts