Assessing the effect of interventions in the context of mixture distributions with detection limits

Statistics in Medicine

Volumn 24, Issue 13, 2005, Pages 2053-2067

  Chu, Haitao ^a   Kensler, Thomas W ^b   Munñoz, Alvaro ^a  

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

^b The Johns Hopkins University   (United States)

Author keywords

Bias; Bootstrap; Left censoring; Maximum likelihood; Mixture models; Model selection

Indexed keywords

ACETYLCYSTEINE; AFLATOXIN; AFLATOXIN M1; BIOLOGICAL MARKER; CREATININE; GLUTATHIONE TRANSFERASE; OLTIPRAZ; PLACEBO;

ANTINEOPLASTIC ACTIVITY; ARTICLE; CHINA; CLINICAL RESEARCH; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; ENVIRONMENTAL EXPOSURE; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; HUMAN; LIVER CELL CARCINOMA; LOW DRUG DOSE; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; RANDOMIZED CONTROLLED TRIAL; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; URINALYSIS; VALIDATION PROCESS;

ANTICARCINOGENIC AGENTS; CARCINOGENS; CARCINOMA, HEPATOCELLULAR; CHINA; DOUBLE-BLIND METHOD; HUMANS; LIKELIHOOD FUNCTIONS; LIVER NEOPLASMS; MODELS, STATISTICAL; PLACEBOS; PYRAZINES; SENSITIVITY AND SPECIFICITY; TUMOR MARKERS, BIOLOGICAL;

EID: 21244464636     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2079     Document Type: Article

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