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Lifetime data analysis

Showing results (421-430 of 966) with videos related to

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Lifetime Data Analysis|January 1, 1995
A parametric multistate model for the analysis of carcinogenicity experimentsR Z Omar, N Stallard, J Whitehead
Lifetime Data Analysis|January 1, 1995
Fitting Weibull duration models with random effectsC Morris, C Christiansen
Lifetime Data Analysis|February 23, 2023
RKHS-based covariate balancing for survival causal effect estimationWu Xue, Xiaoke Zhang, Kwun Chuen Gary Chan, et al.
Lifetime Data Analysis|March 24, 2023
Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored dataTianyi Lu, Shuwei Li, Liuquan Sun
Lifetime Data Analysis|February 8, 2023
Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-19Ruth H Keogh, Karla Diaz-Ordaz, Nicholas P Jewell, et al.
Lifetime Data Analysis|July 1, 2015
Regression analysis of longitudinal data with correlated censoring and observation timesYang Li, Xin He, Haiying Wang, et al.
Lifetime Data Analysis|August 15, 2022
Choice of time scale for analysis of recurrent events dataPhilip Hougaard
Lifetime Data Analysis|August 6, 2022
Median regression models for clustered, interval-censored survival data - An application to prostate surgery studyDebajyoti Sinha, Piyali Basak, Stuart R Lipsitz
Lifetime Data Analysis|August 13, 2022
Assessing dynamic covariate effects with survival dataYing Cui, Limin Peng
Lifetime Data Analysis|December 8, 2025
A flexible copula model for bivariate survival data with dependent censoringReuben Adatorwovor, Yinghao Pan
Pageof 97

Showing results (421-430 of 966) with videos related to

Sort By:
Pageof 97
Lifetime Data Analysis|January 1, 1995
A parametric multistate model for the analysis of carcinogenicity experimentsR Z Omar, N Stallard, J Whitehead
Lifetime Data Analysis|January 1, 1995
Fitting Weibull duration models with random effectsC Morris, C Christiansen
Lifetime Data Analysis|February 23, 2023
RKHS-based covariate balancing for survival causal effect estimationWu Xue, Xiaoke Zhang, Kwun Chuen Gary Chan, et al.
Lifetime Data Analysis|March 24, 2023
Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored dataTianyi Lu, Shuwei Li, Liuquan Sun
Lifetime Data Analysis|February 8, 2023
Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-19Ruth H Keogh, Karla Diaz-Ordaz, Nicholas P Jewell, et al.
Lifetime Data Analysis|July 1, 2015
Regression analysis of longitudinal data with correlated censoring and observation timesYang Li, Xin He, Haiying Wang, et al.
Lifetime Data Analysis|August 15, 2022
Choice of time scale for analysis of recurrent events dataPhilip Hougaard
Lifetime Data Analysis|August 6, 2022
Median regression models for clustered, interval-censored survival data - An application to prostate surgery studyDebajyoti Sinha, Piyali Basak, Stuart R Lipsitz
Lifetime Data Analysis|August 13, 2022
Assessing dynamic covariate effects with survival dataYing Cui, Limin Peng
Lifetime Data Analysis|December 8, 2025
A flexible copula model for bivariate survival data with dependent censoringReuben Adatorwovor, Yinghao Pan
Pageof 97