Sample size considerations in observational health care quality studies

Statistics in Medicine

Volumn 21, Issue 3, 2002, Pages 331-345

  Normand, Sharon Lise T ^a,b   Zou, Kelly H ^a,c  

^a HARVARD MEDICAL SCHOOL   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Health care quality studies; Hierarchical binomial models; Sample size determination

Indexed keywords

DIPEPTIDYL CARBOXYPEPTIDASE INHIBITOR; NONSTEROID ANTIINFLAMMATORY AGENT;

ADULT; ARTICLE; CALCULATION; CARDIOVASCULAR DISEASE; CLUSTER ANALYSIS; COHORT ANALYSIS; CONTROLLED STUDY; HEALTH CARE DELIVERY; HEALTH CARE QUALITY; HUMAN; MAJOR CLINICAL STUDY; OBSERVATION; OUTCOMES RESEARCH; RANDOMIZATION; STANDARD; STATISTICAL MODEL; VALIDATION PROCESS;

ANTI-INFLAMMATORY AGENTS, NON-STEROIDAL; CLUSTER ANALYSIS; COMPUTER SIMULATION; HEALTH SERVICES RESEARCH; HEART FAILURE, CONGESTIVE; HOSPITALS, RURAL; HOSPITALS, TEACHING; HUMANS; HYPERTENSION; MODELS, STATISTICAL; MONTE CARLO METHOD; MYOCARDIAL INFARCTION; QUALITY ASSURANCE, HEALTH CARE; RESEARCH DESIGN; SAMPLE SIZE;

EID: 0037083244     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1020     Document Type: Article

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