Stephanie T. Lanza, Ph.D., is the C. Eugene Bennett Chair in Prevention Research, Director of the Edna Bennett Pierce Prevention Research Center, Director of the Consortium to Combat Substance Abuse, and Professor of Biobehavioral Health and Human Development. She works primarily in two methodological areas. Much of her work seeks to advance finite mixture models, particularly latent class analysis. She also works to advance and apply new statistical models in order to reveal dynamic processes, focusing on time-varying effect modeling to address new research questions related to health behaviors. For more information about Dr. Lanza, visit https://aimlab.psu.edu/people/stephanie-lanza/Ashley N. Linden-Carmichael, Ph.D., is an Assistant Research Professor in the College of Health and Human Development and the Edna Bennett Pierce Prevention Research Center. Her program of research focuses on identifying influential and underlying psychosocial predictors and consequences of high-risk drinking behavior and substance co-use. Ashley has a particular interest in using innovative methods, such as daily diary designs, ecological momentary assessment, and wearable alcohol sensors to assess problematic alcohol use patterns in real-time. For more information about Dr. Linden-Carmichael, visit https://aimlab.psu.edu/people/ashley-linden-carmichael/

• Chapter 1. A Conceptual Introduction to Time-Varying Effect Modeling.- Chapter 2. Specifying and Interpreting Time-Varying Effect Models.- Chapter 3. Generalized Time-Varying Effect Models: Binary and Count Outcomes.- Chapter 4. Estimation and Technical Details.- Chapter 5. TVEM to Study Age-Varying Associations.- Chapter 6. TVEM to Study Historical Change.- Chapter 7. TVEM for Intensive Longitudinal Data.- Chapter 8. Further Applications and Future Directions.

Stephanie T. Lanza, Ph.D., is the C. Eugene Bennett Chair in Prevention Research, Director of the Edna Bennett Pierce Prevention Research Center, Director of the Consortium to Combat Substance Abuse, and Professor of Biobehavioral Health and Human Development. She works primarily in two methodological areas. Much of her work seeks to advance finite mixture models, particularly latent class analysis. She also works to advance and apply new statistical models in order to reveal dynamic processes, focusing on time-varying effect modeling to address new research questions related to health behaviors. For more information about Dr. Lanza, visit https://aimlab.psu.edu/people/stephanie-lanza/Ashley N. Linden-Carmichael, Ph.D., is an Assistant Research Professor in the College of Health and Human Development and the Edna Bennett Pierce Prevention Research Center. Her program of research focuses on identifying influential and underlying psychosocial predictors and consequences of high-risk drinking behavior and substance co-use. Ashley has a particular interest in using innovative methods, such as daily diary designs, ecological momentary assessment, and wearable alcohol sensors to assess problematic alcohol use patterns in real-time. For more information about Dr. Linden-Carmichael, visit https://aimlab.psu.edu/people/ashley-linden-carmichael/

• Chapter 1. A Conceptual Introduction to Time-Varying Effect Modeling.- Chapter 2. Specifying and Interpreting Time-Varying Effect Models.- Chapter 3. Generalized Time-Varying Effect Models: Binary and Count Outcomes.- Chapter 4. Estimation and Technical Details.- Chapter 5. TVEM to Study Age-Varying Associations.- Chapter 6. TVEM to Study Historical Change.- Chapter 7. TVEM for Intensive Longitudinal Data.- Chapter 8. Further Applications and Future Directions.