Bias correction via outcome reassignment for cross-sectional data with binary disease outcome

DOI10.1007/S10985-022-09559-3OpenAlexW4283386718MaRDI QIDQ2087753

Mei-Cheng Wang, Yuxin Zhu

Publication date: 21 October 2022

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-022-09559-3

zbMATH Keywords

length biasproportional odds modelobservational studycurrent-status dataage-specific risk

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62Nxx)

Uses Software

• MatchIt

Cites Work

• Unnamed Item
• Unnamed Item
• A Semiparametric Proportional Odds Regression Model for the Analysis of Current Status Data
• Nonparametric estimation of the probability of illness in the illness-death model under cross-sectional sampling
• Nonparametric Estimation from Cross-Sectional Survival Data
• Additive hazards regression with current status data
• Quasi-likelihood Estimation in Semiparametric Models
• A Proportional Hazards Model for Interval-Censored Failure Time Data
• Confidence Intervals for Current Status Data

This page was built for publication: Bias correction via outcome reassignment for cross-sectional data with binary disease outcome