Confidence intervals for multinomial logistic regression in sparse data

Statistics in Medicine

Volumn 26, Issue 4, 2007, Pages 903-918

  Bull, Shelley B ^a,b   Lewinger, Juan Pablo ^a,b,c   Lee, Sophia S F ^a,b  

^a MOUNT SINAI HOSPITAL   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Asymptotic bias; Bayesian estimates; Bias reduction; Continuous covariate; Data separation; Infinite estimates; Jeffreys prior; Odds ratio; Polychotomous logistic regression; Polytomous logistic regression; Small samples

Indexed keywords

ASPARTATE AMINOTRANSFERASE; HEPATITIS C ANTIBODY;

ARTICLE; BLOOD TRANSFUSION; CLINICAL TRIAL; CONFIDENCE INTERVAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; COVARIANCE; HEPATITIS; HEPATITIS C; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAXIMUM LIKELIHOOD METHOD; MONTE CARLO METHOD; MULTICENTER STUDY; SAMPLE SIZE; SIMULATION;

ASPARTATE AMINOTRANSFERASES; BLOOD TRANSFUSION; COMPUTER SIMULATION; CONFIDENCE INTERVALS; GLUTAMATE DEHYDROGENASE; HEPATITIS, CHRONIC; HEPATITIS, VIRAL, HUMAN; HUMANS; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS;

EID: 33846805720     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2518     Document Type: Article

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