Frailty modeling for clustered competing risks data with missing cause of failure

Statistical Methods in Medical Research

Volumn 26, Issue 1, 2017, Pages 356-373

  Lee, Minjung ^a   Ha, Il Do ^b   Lee, Youngjo ^c  

^a Chosun University   (South Korea)

^b Pukyong National University   (South Korea)

^c Seoul National University   (South Korea)

Author keywords

cause specific hazards; competing risks; frailty model; hierarchical likelihood; missing at random; multiple imputation

Indexed keywords

AGED; ARTICLE; BLADDER CANCER; CANCER GRADING; CANCER MORTALITY; CAUSE OF DEATH; CONFIDENCE INTERVAL; CONTROLLED STUDY; FEMALE; FRAILTY; HUMAN; INCIDENCE; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ERROR; NULL HYPOTHESIS; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; STATISTICAL BIAS; BLADDER TUMOR; CLINICAL TRIAL (TOPIC); MORTALITY; MULTICENTER STUDY (TOPIC); PATHOLOGY; PROCEDURES; RISK; SAMPLE SIZE; STATISTICAL MODEL;

CAUSE OF DEATH; CLINICAL TRIALS AS TOPIC; HUMANS; LIKELIHOOD FUNCTIONS; MULTICENTER STUDIES AS TOPIC; PROPORTIONAL HAZARDS MODELS; RISK; SAMPLE SIZE; URINARY BLADDER NEOPLASMS;

EID: 85008613411     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280214545639     Document Type: Article

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