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Volumn 9, Issue 10, 2014, Pages

Comparison of regression methods for modeling intensive care length of stay

Author keywords

[No Author keywords available]

Indexed keywords

APACHE; ARTICLE; BOOTSTRAPPING; CORRELATION COEFFICIENT; GAMMA REGRESSION WITH A LOGARITHMIC LINK FUNCTION; GENERALIZED LINEAR MODEL WITH A GAUSSIAN DISTRIBUTION AND A LOGARITHMIC LINK FUNCTION; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; INTENSIVE CARE UNIT; INTERMETHOD COMPARISON; LENGTH OF STAY; MEAN ABSOLUTE PREDICTION ERROR; NEGATIVE BINOMIAL REGRESSION; ORDINARY LEAST SQUARE REGRESSION ON INTENSIVE CARE UNIT LENGTH OF STAY TRUNCATED AT 30 DAYS; ORDINARY LEAST SQUARE REGRESSION ON LOG TRANSFORMED INTENSIVE CARE UNIT LENGTH OF STAY; ORDINARY LEAST SQUARE REGRESSION ON UNTRANSFORMED INTENSIVE CARE UNIT LENGTH OF STAY; POISSON REGRESSION; PREDICTIVE VALUE; PROPORTIONAL HAZARDS MODEL; REGRESSION ANALYSIS; ROOT MEAN SQUARED PREDICTION ERROR; STATISTICAL BIAS; STATISTICAL CONCEPTS; ADULT; AGED; COMPARATIVE STUDY; DIAGNOSIS RELATED GROUP; FEMALE; HUMAN; MALE; MIDDLE AGED; NETHERLANDS; NORMAL DISTRIBUTION; PROGNOSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; SURVIVOR;

EID: 84910012929     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0109684     Document Type: Article
Times cited : (93)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.