A family of ordered logistic regression models fit by data expression [5]

International Journal of Epidemiology

Volumn 33, Issue 6, 2004, Pages 1413-

  Choi, Tou ^a   Cole, Stephen R ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; DATA ANALYSIS; LETTER; LOGISTIC REGRESSION ANALYSIS; NONBIOLOGICAL MODEL; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RISK FACTOR; STATISTICAL ANALYSIS; STATISTICAL PARAMETERS; TIME;

DATA INTERPRETATION, STATISTICAL; HUMANS; LOGISTIC MODELS;

EID: 12344324800     PISSN: 03005771     EISSN: None     Source Type: Journal    
DOI: 10.1093/ije/dyh240     Document Type: Letter

References (8)

1. Cole SR, Ananth CV. Regression models for unconstrained, partially or fully constrained continuation odds ratios. Int J Epidemiol 2001;30:1379-82.
2. Armstrong BG, Sloan M. Ordinal regression models for epidemiologic data. Am J Epidemiol 1989;129:191-204.
3. Cole SR, Allison PD, Ananth CV. Estimation of cumulative odds ratios. Ann Epidemiol 2004;14:172-78.
4. Choi T. Estimation of adjacent category odds ratios using data expansion. Epidemiology. Baltimore: Johns Hopkins University, 2003:45.
5. D'Agostino RB, Lee ML, Belanger AJ, Cupples LA, Anderson K, Kannel WB. Relation of pooled logistic regression to time dependent Cox regression analysis: The Framingham Heart Study. Stat Med 1990; 9:1501-15.
6. Wei Li, Lin DY, Weissfeld L. Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. J Am Statist Assoc 1989;84:1065-78.
7. Lunn M, McNeil D. Applying Cox regression to competing risks. Biometrics 1995;51:524-32.
8. Pepe MS, Whitaker RC, Seidel K. Estimating and comparing univariate associations with application to the prediction of adult obesity. Stat Med 1999;18:163-73.