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Volumn 26, Issue 1, 1998, Pages 1-6

Increased efficiency of analyses: Cumulative logistic regression vs ordinary logistic regression

Author keywords

Adults; Diabetes mellitus; Epidemiology; Non insulin dependent diabetes mellitus; Periodontal diseases; Statistical methods

Indexed keywords

ADOLESCENT; ADULT; AGE; ARTICLE; CHI SQUARE DISTRIBUTION; CONFIDENCE INTERVAL; FEMALE; HUMAN; MALE; MIDDLE AGED; MOUTH HYGIENE; MULTIVARIATE ANALYSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; OSTEOLYSIS; PRODUCTIVITY; REPRODUCIBILITY; RISK; RISK ASSESSMENT; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 0031989693     PISSN: 03015661     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1600-0528.1998.tb02075.x     Document Type: Article
Times cited : (8)

References (6)
  • 1
    • 0024586199 scopus 로고
    • Ordinal regression models for epidemiologic data
    • Armstrong BG, Sloan M. Ordinal regression models for epidemiologic data. Am J Epidemiol 1989;129:191-204.
    • (1989) Am J Epidemiol , vol.129 , pp. 191-204
    • Armstrong, B.G.1    Sloan, M.2
  • 2
    • 0001306637 scopus 로고
    • Regression models for ordinal data
    • McCullagh P. Regression models for ordinal data. J R Stat Soc 1980;42:109-12.
    • (1980) J R Stat Soc , vol.42 , pp. 109-112
    • McCullagh, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.