Bias reduction and a solution for separation of logistic regression with missing covariates

Biometrics

Volumn 65, Issue 4, 2009, Pages 1262-1269

  Maiti, Tapabrata ^a   Pradhan, Vivek ^b  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b BOSTON SCIENTIFIC CORPORATION   (United States)

Author keywords

Bias; EM algorithm; Maximum likelihood estimate; Small sample

Indexed keywords

ITERATIVE METHODS; MAXIMUM LIKELIHOOD ESTIMATION;

BIAS; BIAS REDUCTION; COVARIATES; EM ALGORITHMS; LOGISTICS REGRESSIONS; MAXIMUM-LIKELIHOOD ESTIMATE; PARAMETERS ESTIMATES; REGRESSION COEFFICIENT; SMALL SAMPLES; STANDARD SOFTWARE;

REGRESSION ANALYSIS;

ALPHA2B INTERFERON;

COVARIANCE ANALYSIS; REGRESSION ANALYSIS; SCIENCE AND TECHNOLOGY;

ARTICLE; CASE CONTROL STUDY; CAT; CHLAMYDIASIS; CLINICAL TRIAL; CORRELATION COEFFICIENT; COVARIANCE; HERPES VIRUS INFECTION; HUMAN; LIVER CANCER; LOGISTIC REGRESSION ANALYSIS; MAXIMUM LIKELIHOOD METHOD; MELANOMA; MENINGOCOCCOSIS; METHODOLOGY; NONHUMAN; NONRESPONSE BIAS; SIMULATION; SKIN METASTASIS;

EID: 70450240718     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01186.x     Document Type: Article

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