Monte Carlo conditional inference for log-linear and logistic models: A survey of current methodology

Statistical Methods in Medical Research

Volumn 12, Issue 2, 2003, Pages 109-123

  Caffo, Brian S ^a   Booth, J G ^b  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b University of Florida ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BINOMIAL DISTRIBUTION; CALCULATION; CHI SQUARE DISTRIBUTION; CONFIDENCE INTERVAL; EXPERIMENTATION; FEASIBILITY STUDY; FISHER EXACT TEST; LINEAR SYSTEM; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; METHODOLOGY; MONTE CARLO METHOD; PROBABILITY; REVIEW; SAMPLE; SAMPLING; SCHIZOPHRENIA; SIBLING; SIMULATION; STATISTICAL CONCEPTS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICAL PARAMETERS; STATISTICS; SYSTEM ANALYSIS;

ALGORITHMS; BIOMEDICAL RESEARCH; BIOMETRY; CHI-SQUARE DISTRIBUTION; LINEAR MODELS; LOGISTIC MODELS; MARKOV CHAINS; MONTE CARLO METHOD; PROBABILITY;

EID: 0037343307     PISSN: 09622802     EISSN: None     Source Type: Journal    
DOI: 10.1191/0962280203sm313ra     Document Type: Review

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