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CALDAR SPEAKER SERIES AT UCLA


(2006)

June

June 28, 2006:  Donald Hedeker, Ph.D.
Professor of Biostatistics, University of Illinois at Chicago
Slide Presentations (PowerPoint) Recommended Readings
  Hedeker, D. (2004). An introduction to growth modeling.  In D. Kaplan (Ed.), Quantitative Methodology for the Social Sciences. Thousand Oaks CA: Sage Publications.
  Hedeker, D., & Gibbons, R.D. (1997).  Application of random-effects pattern-mixture models for missing data in longitudinal studies.  Psychological Methods, 2, 64-78.


May

May 1, 2006:  Stephanie Lanza, Ph.D.
The Methodology Center, Pennsylvania State University
Slide Presentations (PowerPoint) Recommended Readings
Latent Transition Analysis Introductory and Applied Material:
  Introduction to LCA and LTA: Lanza, S. T., Flaherty, B. P., & Collins, L. M. (2003).  Latent class and latent transition analysis.  In J. A. Schinka, & W. F. Velicer (Eds.), Handbook of Psychology: Vol. 2.  Research Methods in Psychology (pp. 663-685).  Hoboken, NJ: Wiley.
 

Application of LTA to longitudinal data on substance use: Lanza, S. T., & Collins, L. M.  (2002).  Pubertal timing and the stages of substance use in females during early adolescence.  Prevention Science, 3, 69-82.

 

Guo, J., Collins, L. M., Hill, K. G., & Hawkins, J. D. (2000). Developmental pathways to alcohol abuse and dependence in young adulthood. Journal of Studies on Alcohol, 61, 799-808.

  Advanced or Special Topic Material
 

LCA with covariates:
Chung, H., Flaherty, B. P., & Schafer, J. L. (2006). Latent-class logistic regression: Application to marijuana use and attitudes among high-school seniors. Journal of the Royal Statistical Society: Series A (Statistics in Society) 169(4), 723-743.

 

LCA for repeated measures:
Lanza, S.T., & Collins, L.M. (2006). A mixture model of discontinuous development in heavy drinking from ages 18 to 30: The role of college enrollment. Journal of Studies on Alcohol, 67(4), 552-61.

 

Data augmentation to get standard errors:
Lanza, S. T., Collins, L. M., Schafer, J. L., & Flaherty, B. P. (2005). Using Data Augmentation to Obtain Standard Errors and Conduct Hypothesis Tests in Latent Class and Latent Transition Analysis.  Psychological Methods, 10, 84-100.



March

March 14, 2006:  David Huang, Dr. P.H., M.P.H.
UCLA Integrated Substance Abuse Programs
Slide Presentations (PowerPoint) Recommended Readings
Growth Mixture Modeling of Longitudinal Data

Muthén, B. (2004). Latent variable analysis: for longitudinal data. In D. Kaplan (ed.), Handbook of Quantitative Methodology for the Social Sciences (pp. 345-368). Newbury Park, CA: Sage Publications



March 14, 2006:  Chih-Ping Chou, Ph.D.
University of Southern California, Institute for Prevention Research
Slide Presentations (PowerPoint) Recommended Readings
Application of Structural Equation Models in Longitudinal Studies


February

February 23, 2006:  Daniel Nagin, Ph.D.
Carnegie Mellon University
Slide Presentations (PowerPoint) Recommended Readings
Group-based Trajectory Modeling

Haviland, A. M., & Nagin, D. S. (2005). Causal inferences with group-based trajectory models. Psychometrika, 70, 1-22.

  Nagin, D. S. (2006). Group-Based Modeling of Development.  Cambridge, MA:  Harvard University Press.


(2005)

October

October 22, 2005 :  Yih-Ing Hser, Ph.D.
UCLA Integrated Substance Abuse Programs
Slide Presentations (PowerPoint) Recommended Readings (PDF)
Center for Advancing Longitudinal Drug Abuse Research (CALDAR)



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