Penalized count data regression with application to hospital stay after pediatric cardiac surgery

Statistical Methods in Medical Research

Volumn 25, Issue 6, 2016, Pages 2685-2703

  Wang, Zhu ^a   Ma, Shuangge ^b   Zappitelli, Michael ^c   Parikh, Chirag ^d   Wang, Ching Yun ^e   Devarajan, Prasad ^f  

^a Division of Pediatric Infectious Diseases   (United States)

^b YALE UNIVERSITY   (United States)

^c MONTREAL CHILDREN S HOSPITAL   (Canada)

^d YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e USA   (United States)

^f CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER   (United States)

Author keywords

Enet; Mnet; negative binomial regression; Poisson regression; Snet; variable selection

Indexed keywords

INTERLEUKIN 18; KIDNEY INJURY MOLECULE 1; NEUTROPHIL GELATINASE ASSOCIATED LIPOCALIN; BIOLOGICAL MARKER;

ALGORITHM; ARTICLE; CHILD; HEART SURGERY; HUMAN; LENGTH OF STAY; NEGATIVE BINOMIAL REGRESSION ANALYSIS; PEDIATRIC SURGERY; PENALIZED LIKELIHOOD FUNCTION; POISSON DISTRIBUTION; POSTOPERATIVE PERIOD; PROGNOSIS; REGRESSION ANALYSIS; RISK ASSESSMENT; STATISTICAL PARAMETERS; URINALYSIS; ACUTE KIDNEY FAILURE; BINOMIAL DISTRIBUTION; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; URINE;

ACUTE KIDNEY INJURY; ALGORITHMS; BINOMIAL DISTRIBUTION; BIOMARKERS; CARDIAC SURGICAL PROCEDURES; CHILD; HUMANS; LENGTH OF STAY; LIKELIHOOD FUNCTIONS; LINEAR MODELS; POISSON DISTRIBUTION; PROGNOSIS;

EID: 84995741075     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280214530608     Document Type: Article

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