Semiparametric transformation models for semicompeting survival data
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Publication:2927611
DOI10.1111/biom.12178zbMath1299.62127OpenAlexW2170998838WikidataQ30805024 ScholiaQ30805024MaRDI QIDQ2927611
Huazhen Lin, Chun-Hong Li, Yi Li, Ling Zhou
Publication date: 4 November 2014
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://biostats.bepress.com/cgi/viewcontent.cgi?article=1113&context=umichbiostat
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Cites Work
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- Two-stage estimation in copula models used in family studies
- On semi-competing risks data
- A simple resampling method by perturbing the minimand
- Semiparametric Analysis of Recurrent Events Data in the Presence of Dependent Censoring
- Regression Analysis Based on Semicompeting Risks Data
- On Assessing Surrogacy in a Single Trial Setting Using a Semicompeting Risks Paradigm
- Comparing two failure time distributions in the presence of dependent censoring
- A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
- Adaption of bivariate frailty models for prediction, with application to biological markers as prognostic indicators
- A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data
- Semiparametric analysis of transformation models with censored data
- Double-Semiparametric Method for Missing Covariates in Cox Regression Models
- Criteria for the Validation of Surrogate Endpoints in Randomized Experiments
- A Two‐Sample Comparison for Multiple Ordered Event Data
- Estimating the Association Parameter for Copula Models Under Dependent Censoring
- Semiparametric Estimation of a Regression Model with an Unknown Transformation of the Dependent Variable
- Regression Modeling of Semicompeting Risks Data
- Nonparametric estimation with left-truncated semicompeting risks data
- Semiparametric regression analysis of longitudinal data with informative drop-outs
- Semiparametric Normal Transformation Models for Spatially Correlated Survival Data
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