The effect of omitted covariates in marginal and partially conditional recurrent event analyses
From MaRDI portal
Publication:2274676
DOI10.1007/S10985-018-9430-YzbMath1429.62641OpenAlexW2803815837WikidataQ88690846 ScholiaQ88690846MaRDI QIDQ2274676
Publication date: 1 October 2019
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10985-018-9430-y
Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Does Cox analysis of a randomized survival study yield a causal treatment effect?
- Cox's regression model for counting processes: A large sample study
- Implications of model misspecification in robust tests for recurrent events
- The statistical analysis of recurrent events.
- The Robust Inference for the Cox Proportional Hazards Model
- Regression Methods for Poisson Process Data
- On the regression analysis of multivariate failure time data
- Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
- Robust Estimation of Mean Functions and Treatment Effects for Recurrent Events Under Event-Dependent Censoring and Termination: Application to Skeletal Complications in Cancer Metastatic to Bone
This page was built for publication: The effect of omitted covariates in marginal and partially conditional recurrent event analyses