Allison, P. (1982). Discrete-time methods for the analysis of event histories. In S. Leinhardt (Ed.), Sociological methodology 1982. San Francisco, CA: Jossey-Bass.
Allison, P. (1984). Event history analysis. Beverly Hills, CA: Sage.
Allison, P. (1995). Survival analysis using the SAS system: A practical guide. Gary, NC: SAS Institute.
Cox, D. R. (1972). Regression models and life tables. Journal of the Royal Statistical Society, Series B, 34, 187-202.
D'agostino, R., Lee, M., & Belanger, A. (1990). Relation of pooled logistic regression to time dependent Cox regression analysis: The Framingham Heart Study. Statistics in Medicine, 9, 1501-1515.
Drake, R. E., McHugo, G. J., Clark, R. E., Teague, G. B., Xie, H., Miles, K. et al. (1998). Assertive community treatment for patients with co-occurring severe mental illness and substance abuse disorder: A clinical trial. American Journal of Orthopsychiatry, 68(2), 201-215.
Drake, R. E., Mueser, K. T., & McHugo, G. J. (1996). Clinician rating scalse: Alcohol Use Scale (AUS), Drug Use Scale (DUS), and Substance Abuse Treatment Scale (SATS). In L. I. Sederer & B. Dickey (Eds.), Outcomes assessment in clinical practice (pp. 113-116). Baltimore, MD: Williams & Wilkins.
Han, A., & Hausman, J. (1990). Flexible parametric estimation of duration and competing risk model. Journal of Applied Econometrics, 5, 1-28.
Hedeker, D., Siddiqui, O., & Hu, F. (2000). Random-effects regression analysis of correlated grouped-time survival data. Statistical Methods in Medical Research, 9, 161-179.
Land, K., Nagin, D., & McCall, P. (2001). Discrete-time hazard regression models with hidden heterogeneity: The semiparametric mixed Poisson regression approach. Sociological Methods and Research, 29(3), 342-373.
McCullagh, P. (1980). Regression model for ordinal data (with discussion). Journal of the Royal Statistical Society, Series B, 42, 109-142.
McHugo, G. J., Drake, R. E., Burton, H. L., & Ackerson, T. M. (1995). A scale for assessing the stage of substance abuse treatment in persons with severe mental illness. Journal of Nervous and Mental Disease, 183, 762-767.
Peterson, T. (1991). The statistical analysis of event history. Sociological Methods and Research, 19(3), 270-323.
Scheike, T., & Jensen, T. (1997). A discrete survival model with random effects: An application to time to pregnancy. Biometrics, 53, 318-329.
Singer, J., & Willett, J. (1993). It's about time: Using discrete-time survival analysis to study duration and the timing of events. Journal of Educational Statistics, 18(2), 155-195.
Teachman, J. (1994). Marital status and the duration of joblessness among white men. Journal of Marriage and the Family, 56, 415-428.
Tuma, B., & Hanna, T. (1984). Social dynamics: Models and Methods. New York: Academic Press.
Willett, T., & Singer, J. (1991). From whether to when: New methods for studying student dropout and teacher attrition. Review of Educational Research, 61(4), 407-450.
Willett, J., & Singer, J. (1993). Investigating onset, cessation, relapse, and recovery: Why you should, and how you can, use discrete-time survival analysis to examine event occurrence. Journal of Consulting and Clinical Psychology, 61(6), 952-965.
Willett, J., Singer, J., & Martin, N. (1998). The design and analysis of longitudinal studies of development and psychopathology in context: Statistical models and methodological recommendations. Development and Psychopathology, 10, 395-426.