Firth's logistic regression with rare events: accurate effect estimates and predictions?

Statistics in Medicine

Volumn 36, Issue 14, 2017, Pages 2302-2317

  Puhr, Rainer ^a   Heinze, Georg ^b   Nold, Mariana ^c   Lusa, Lara ^d   Geroldinger, Angelika ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b MEDICAL UNIVERSITY OF VIENNA   (Austria)

^c JENA UNIVERSITY HOSPITAL   (Germany)

^d UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

bias reduction; data augmentation; Jeffreys prior; penalized likelihood; sparse data

Indexed keywords

ARTERY; EXPLANATORY VARIABLE; LOGISTIC REGRESSION ANALYSIS; MAXIMUM LIKELIHOOD METHOD; MINIMALLY INVASIVE CARDIAC SURGERY; PREDICTION; PROBABILITY; SIMULATION; ADVERSE DEVICE EFFECT; BIOSTATISTICS; COMPUTER SIMULATION; DEVICES; HEART SURGERY; HUMAN; MINIMALLY INVASIVE SURGERY; SAMPLE SIZE; STATISTICAL BIAS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; VASCULAR CLOSURE DEVICE;

BIAS; BIOSTATISTICS; CARDIAC SURGICAL PROCEDURES; COMPUTER SIMULATION; HUMANS; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS; MINIMALLY INVASIVE SURGICAL PROCEDURES; MODELS, STATISTICAL; PROBABILITY; SAMPLE SIZE; VASCULAR CLOSURE DEVICES;

EID: 85015204988     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.7273     Document Type: Article

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