A multiple imputation approach to the analysis of clustered interval-censored failure time data with the additive hazards model

Ling Chen; Jianguo Sun; Chengjie Xiong

doi:10.1016/j.csda.2016.05.011

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A multiple imputation approach to the analysis of clustered interval-censored failure time data with the additive hazards model

Ling Chen Jianguo Sun Chengjie Xiong

Year: 2016 Journal: Computational Statistics & Data Analysis Vol: 103 Pages: 242-249 Publisher: Elsevier BV

DOI: 10.1016/j.csda.2016.05.011

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Keywords:

Computer science Imputation (statistics) Resampling Inference Data mining Statistics Accelerated failure time model Proportional hazards model Mathematics Missing data Algorithm Artificial intelligence

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A multiple imputation approach to the analysis of clustered interval-censored failure time data with the additive hazards model

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