Sample size determination for constrained longitudinal data analysis

Statistics in Medicine

Volumn 28, Issue 4, 2009, Pages 679-699

  Lu, Kaifeng ^a,b   Mehrotra, Devan V ^a   Liu, Guanghan ^a  

^a MERCK RESEARCH LABORATORIES   (United States)

^b NONE   (United States)

Author keywords

AR(1); Compound symmetry; Inflation factor; Missing at random; Retention rate

Indexed keywords

HEMOGLOBIN A1C; PIOGLITAZONE; PLACEBO; SITAGLIPTIN;

ANALYSIS OF COVARIANCE; ARTICLE; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; CORRELATIONAL STUDY; DATA ANALYSIS; DOUBLE BLIND PROCEDURE; GLYCEMIC CONTROL; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; NON INSULIN DEPENDENT DIABETES MELLITUS; RANDOMIZATION; RANDOMIZED CONTROLLED TRIAL; SAMPLE SIZE; SENSITIVITY ANALYSIS; SIMULATION; TREATMENT PLANNING; VALIDITY; ANALYSIS OF VARIANCE; BIOMETRY; COMPUTER SIMULATION; METHODOLOGY; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ANALYSIS OF VARIANCE; BIOMETRY; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; RANDOMIZED CONTROLLED TRIALS AS TOPIC; REGRESSION ANALYSIS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY;

EID: 63149128783     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3507     Document Type: Article

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