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Volumn 34, Issue 2, 2015, Pages 281-296

Small sample performance of bias-corrected sandwich estimators for cluster-randomized trials with binary outcomes

Author keywords

Correlated data; Generalized estimating equations (GEE); Power; Sample size; Type I error rates

Indexed keywords

ACCURACY; ARTICLE; BIAS CORRECTED SANDWICH ESTIMATOR; BREAST SCREENING; CLUSTER RANDOMIZED TRIAL; CLUSTER SIZE; CORRELATED BINARY OUTCOME; DEGREE OF FREEDOM CORRECTED SANDWICH ESTIMATOR; ERROR; FAY AND GRAUBARD CORRECTED SANDWICH ESTIMATOR; GENERALIZED ESTIMATING EQUATION WALD Z TEST; GENERALIZED LINEAR MIXED MODEL; HUMAN; KAUERMANN AND CARROLL CORRECTED SANDWICH ESTIMATOR; MANCL AND DEROUE CORRECTED SANDWICH ESTIMATOR; MONTE CARLO METHOD; MOREL BOKOSSA AND NEERCHAL CORRECTED SANDWICH ESTIMATOR; ROBUSTNESS; SAMPLE SIZE; SAMPLING BIAS; SCREENING TEST; STATISTICAL ANALYSIS; STATISTICAL CONCEPTS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICAL PARAMETERS; STATISTICAL POWER; STUDENT T TEST; STUDY DESIGN; T DISTRIBUTION; TYPE I ERROR; TYPES OF STUDY; ZETA DISTRIBUTION; BREAST NEOPLASMS; COMPUTER SIMULATION; EARLY DIAGNOSIS; FEMALE; GENERAL PRACTICE; HEALTH SERVICES RESEARCH; OUTCOME ASSESSMENT; PATIENT ATTITUDE; PROCEDURES; RANDOMIZED CONTROLLED TRIAL (TOPIC); STATISTICAL BIAS; STATISTICS AND NUMERICAL DATA; UNITED KINGDOM;

EID: 84916233304     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6344     Document Type: Article
Times cited : (143)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.