Sample size and statistical power assessing the effect of interventions in the context of mixture distributions with detection limits

Statistics in Medicine

Volumn 25, Issue 15, 2006, Pages 2647-2657

  Chu, Haitao ^a   Nie, Lei ^b   Cole, Stephen R ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b GEORGETOWN UNIVERSITY   (United States)

Author keywords

Detection limit; Left censoring; Left truncation; Mixture models; Power; Sample size

Indexed keywords

AFLATOXIN M1; OLTIPRAZ; PLACEBO; VIRUS RNA;

ARTICLE; BIOSTATISTICS; CALCULATION; CANCER PREVENTION; CHINA; CLINICAL RESEARCH; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DOUBLE BLIND PROCEDURE; HUMAN; INTERVENTION STUDY; LIVER CANCER; MAJOR CLINICAL STUDY; METABOLITE; MONTE CARLO METHOD; NORMAL DISTRIBUTION; PHASE 2 CLINICAL TRIAL; POWER ANALYSIS; PROBABILITY; QUANTITATIVE ANALYSIS; RANDOMIZED CONTROLLED TRIAL; SAMPLE SIZE; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; TREATMENT OUTCOME;

AFLATOXIN M1; COHORT STUDIES; COMPUTER SIMULATION; DRUG EVALUATION; FOOD CONTAMINATION; HUMANS; MODELS, STATISTICAL; MONTE CARLO METHOD; PYRAZINES; RANDOMIZED CONTROLLED TRIALS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY;

EID: 33746113327     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2503     Document Type: Article

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