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Advances in Data Analysis for Prevention Intervention Research

NIDA Research Monograph, Number 142 [Printed in 1994]

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Table of Contents

New Statistical Methods for Substance Use Prevention Research-----1
Linda M. Collins and Larry A. Seitz

Analysis With Missing Data in Drug Prevention Research-----13
John W. Graham, Scott M. Hofer, and Andrea M. Piccinin

Latent Class Analysis of Substance Abuse Patterns-----64
John S. Uebersax

Latent Transition Analysis and How It Can Address Prevention Research Questions-----81
Linda M. Collins, John W. Graham, Susannah Scarborough Rousculp, Penny L. Fidler, Jia Pan, and William B. Hansen

Incorporating Trend Data To Aid in the Causal Interpretation of Individual-Level Correlations Among Variables: Examples Focusing on the Recent Decline in Marijuana Use-----112
Jerald G. Bachman

Multilevel Models for Hierarchically Nested Data: Potential Applications in Substance Abuse Prevention Research-----140
Ita G. G. Kreft

Seven Ways To Increase Power Without Increasing N-----184
William B. Hansen and Linda M. Collins

Designing and Analyzing Studies of Onset, Cessation, and Relapse: Using Survival Analysis in Drug Abuse Prevention Research-----196
Judith D. Singer and John B. Willett

Time Series Models of Individual Substance Abusers-----264
Wayne F. Velicer

Use and Misuse of Repeated Measures Designs-----302
Robert S. Barcikowski and Randall R. Robey

Meta-Analytical Issues for Prevention Intervention Research-----342
Nan Tobler

Dynamic Systems-Modeling as a Means To Estimate Community-Based Prevention Effects-----404
Barry M. Kibel and Harold D. Holder

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