Review of methods for handling confounding by cluster and informative cluster size in clustered data

Statistics in Medicine

Volumn 33, Issue 30, 2014, Pages 5371-5387

  Seaman, Shaun ^a   Pavlou, Menelaos ^b   Copas, Andrew ^c  

^a MRC BIOSTATISTICS UNIT   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c MRC CLINICAL TRIALS UNIT   (United Kingdom)

Author keywords

Conditional maximum likelihood; Confounding by cluster; Contextual effect; Informative cluster size; Poor man's method; Within cluster effect

Indexed keywords

ARTICLE; CLUSTER ANALYSIS; CONFOUNDING BY CLUSTER; COST EFFECTIVENESS ANALYSIS; DATA ANALYSIS; HUMAN; INFORMATIVE CLUSTER SIZE; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; MEDICAL RESEARCH; POPULATION SIZE; PROCESS DEVELOPMENT; SCORING SYSTEM; SOCIOECONOMICS; STATISTICAL MODEL; STATISTICAL PARAMETERS; BIOMETRY; EPIDEMIOLOGY; PROCEDURES; SAMPLE SIZE; STATISTICAL ANALYSIS;

BIOMETRY; CLUSTER ANALYSIS; CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; LINEAR MODELS; LOGISTIC MODELS; SAMPLE SIZE;

EID: 84918827339     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6277     Document Type: Article

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