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Functional inference in frailty measurement error models for clustered survival data using the SIMEX approach

Li, Yi; Lin, Xihong - In: Journal of the American Statistical Association : JASA 98 (2003) 461, pp. 191-203

Persistent link: https://www.econbiz.de/10001754849

Testing the Correlation for Clustered Categorical and Censored Discrete Time-to-Event Data When Covariates Are Measured without/with Errors

Li, Yi; Lin, Xihong - In: Biometrics 59 (2003) 1, pp. 25-35

Persistent link: https://www.econbiz.de/10010947945

Semiparametric Normal Transformation Models for Spatially Correlated Survival Data

Li, Yi; Lin, Xihong - In: Journal of the American Statistical Association 101 (2006) June, pp. 591-603

Persistent link: https://www.econbiz.de/10005430205

Semiparametric maximum likelihood estimation in normal transformation models for bivariate survival data

Li, Yi; Prentice, Ross L.; Lin, Xihong - In: Biometrika 95 (2008) 4, pp. 947-960

We consider a class of semiparametric normal transformation models for right-censored bivariate failure times. Nonparametric hazard rate models are transformed to a standard normal model and a joint normal distribution is assumed for the bivariate vector of transformed variates. A semiparametric...

Persistent link: https://www.econbiz.de/10005569426

Semiparametric normal transformation models for spatially correlated survival data

Li, Yi; Lin, Xihong - In: Journal of the American Statistical Association : JASA 101 (2006), pp. 591-603

Persistent link: https://www.econbiz.de/10003334634

Theory and Methods - Functional Inference in Frailty Measurement Error Models for Clustered Survival Data Using the SIMEX Approach

Li, Yi; Lin, Xihong - In: Journal of the American Statistical Association : JASA 98 (2003) 461, pp. 191-203

Persistent link: https://www.econbiz.de/10006613789

Theory and Methods - Semiparametric Normal Transformation Models for Spatially Correlated Survival Data

Li, Yi; Lin, Xihong - In: Journal of the American Statistical Association : JASA 101 (2006) 474, pp. 591-603

Persistent link: https://www.econbiz.de/10007268845