Modeling survival data with informative cluster size

Statistics in Medicine

Volumn 27, Issue 4, 2008, Pages 543-555

  Williamson, John M ^a   Kim, Hae Young ^b   Manatunga, Amita ^c   Addiss, David G ^a  

^a NATL CENTER FOR INFECTIOUS DISEASES   (United States)

^b The University of North Carolina at Chapel Hill   (United States)

^c EMORY UNIVERSITY   (United States)

Author keywords

Cox proportional hazards; Independence working model; Informative cluster size; Multivariate survival analysis; Weibull model; Within cluster resampling

Indexed keywords

ALBENDAZOLE; DIETHYLCARBAMAZINE;

ADULT; ARTICLE; BAYES THEOREM; BRAZIL; CLINICAL ARTICLE; CLINICAL TRIAL; CLUSTER ANALYSIS; COMBINATION CHEMOTHERAPY; COMPUTER MODEL; COMPUTER SIMULATION; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DATA ANALYSIS SOFTWARE; DRUG EFFICACY; ECHOGRAPHY; FILARIASIS; HUMAN; MALE; MONOTHERAPY; MULTIVARIATE ANALYSIS; PROPORTIONAL HAZARDS MODEL; RANDOMIZED CONTROLLED TRIAL; SEX DIFFERENCE; SINGLE DRUG DOSE; SURVIVAL; SURVIVAL RATE; TREATMENT OUTCOME;

CLUSTER ANALYSIS; ELEPHANTIASIS, FILARIAL; HUMANS; MODELS, STATISTICAL; PROPORTIONAL HAZARDS MODELS; SURVIVAL ANALYSIS;

EID: 39449099016     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3003     Document Type: Article

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