[1]
|
L. A. Goodman. “The Analysis of Dependence in CrossClassifications Having Ordered Categories, Using LogLinear Models for Frequencies and Log-Linear Models for Odds,” Biometrics, Vol. 39, No. 1, 1983, pp. 149-160.
doi:10.2307/2530815
|
[2]
|
S. E. Fienberg, “The Analysis of Cross-Classified Data,” 2nd Edition, MIT Press, Cambridge, 1980.
|
[3]
|
S. H. Walker and D. B. Duncan, “Estimation of the Probability of an Event as a Function of Several Independent Variables,” Biometrika, Vol. 54, No. 1, 1967, pp. 167-79.
|
[4]
|
P. McCullough, “Regression Models for Ordinal Data,” Journal of the Royal Statistical Society B, Vol. 42, No. 2, 1980, pp. 109-142.
|
[5]
|
D. McFadden, “Econometric Models for Probabilistic Choice among Products,” Journal of Business, Vol. 53, No. 3, 1980, pp. S13-S29. doi:10.1086/296093
|
[6]
|
D. W. Hosmer and S. Lemeshow, “Applied Logistic Regression,” 2nd Edition, Wiley, New York, 2000.
doi:10.1002/0471722146
|
[7]
|
L. Blizzard and D. W. Hosmer, “Parameter Estimation and Goodness-of-Fit in Log Binomial Regression,” Biometrical Journal, Vol. 48, No. 6, 2006, pp. 5-22.
|
[8]
|
O. S. Miettenen, “Theoretical Epidemiology,” Wiley, New York, 1985.
|
[9]
|
S. Greenland, “Interpretation and Choice of Effect Measures in Epidemiologic Analysis,” American Journal of Epidemiology, Vol. 125, No. 5, 1987, pp. 761-768.
|
[10]
|
O. S. Miettenen and E. F. Cook, “Confounding: essence and detection,” American Journal of Epidemiology, Vol. 114, No. 4, 1981, pp. 593-603.
|
[11]
|
J. Lee, “Odds Ratio or Relative Risk for Cross-Sectional Data?” International Journal of Epidemiology, Vol. 23, No. 1, 1994, pp. 201-203. doi:10.1093/ije/23.1.201
|
[12]
|
C. C. Clogg and E. S. Shihadeh, “Statistical Models for Ordinal Variables,” Sage, Thousand Oaks, 1994.
|
[13]
|
R. Bender and A. Benner, “Calculating Ordinal Regression Models in SAS and S-Plus,” Biometrical Journal, Vol. 42, No. 6, 2000, pp. 677-699.
doi:10.1002/1521-4036(200010)42:6<677::AID-BIMJ677>3.0.CO;2-O
|
[14]
|
A. A. O’Connell, “Logistic Regression Models for Ordinal Response Variables,” Sage, Thousand Oaks, 2006.
|
[15]
|
B. G. Armstrong and M. Sloan, “Ordinal Regression Models for Epidemiologic Data,” American Journal of Epidemiology, Vol. 129, No. 1, 1989, pp. 191-204.
|
[16]
|
D. Katz, J. Baptista, S. P. Azen and M. C. Pike, “Obtaining Confidence Intervals for the Risk Ratio in Cohort Studies,” Biometrics, Vol. 34, 1978, pp. 469-474.
doi:10.2307/2530610.
|
[17]
|
C. R. Rao, “Linear Statistical Inference and Its Applications,” 2nd Edition, Wiley, New York, 2002.
|
[18]
|
J. Neyman and E. S. Pearson “On the Use and Interpretation of Certain Test Criteria,” Biometrika, Vol. 20, No. 1/2, 3/4, 1928, pp. 175-240, 263-294.
|
[19]
|
C. R. Rao, “Large Sample Tests of Statistical Hypotheses Concerning Several Parameters with Applications to Problems of Estimation,” Proceedings of the Cambridge Philosophical Society, Vol. 44, No. 1, 1948, pp. 50-57.
doi:10.1017/S0305004100023987.
|
[20]
|
A. Wald, “Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations Is Large,” Transactions of the American Mathematical Society, Vol. 54, No. 3, 1943, pp. 426-482.
doi:10.1090/S0002-9947-1943-0012401-3.
|
[21]
|
B. Peterson and F. E. Harrrell, “Partial Proportional Odds Models for Ordinal Response Variables,” Applied Statistics, Vol. 39, No. 2, 1990, pp. 2005-2017.
doi:10.2307/2347760.
|
[22]
|
P. McCullough and J. Nelder, “Generalized Linear Models,” 2nd Edition, Chapman Hall, New York, 1989.
|