An EM-based semi-parametric mixture model approach to the regression analysis of competing-risks data

Statistics in Medicine

Volumn 22, Issue 7, 2003, Pages 1097-1111

  Ng, Angus S K ^a   McLachlan, G J ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Competing risks; ECM alogorithm; Mixture models; Prostate cancer data; Regression analysis; Semi parametric approach

Indexed keywords

DIETHYLSTILBESTROL;

ALGORITHM; CANCER MORTALITY; CANCER SURVIVAL; CAUSE OF DEATH; CONTROLLED STUDY; DATA ANALYSIS; HUMAN; MAJOR CLINICAL STUDY; MAXIMUM LIKELIHOOD METHOD; MONTE CARLO METHOD; NONBIOLOGICAL MODEL; PARAMETRIC TEST; PROBABILITY; PROSTATE CANCER; REGRESSION ANALYSIS; REVIEW; RISK ASSESSMENT; SAMPLE; STATISTICAL MODEL;

ALGORITHMS; ANTINEOPLASTIC AGENTS, HORMONAL; COMPUTER SIMULATION; DIETHYLSTILBESTROL; HUMANS; MALE; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PROSTATIC NEOPLASMS; RANDOMIZED CONTROLLED TRIALS; RISK;

EID: 0037445922     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1371     Document Type: Review

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