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Advances in Data Analysis for Prevention Intervention Research |
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NIDA Research Monograph, Number 142 [Printed in 1994]This monograph is not available by chapter. The Table of Contents (below) is shown to assist in locating information prior to downloading the monograph.Download Monograph142.pdf - Advances in Data Analysis for Prevention Intervention Research (2.7 MB) Table of Contents New Statistical Methods for Substance Use Prevention Research-----1 Analysis With Missing Data in Drug Prevention Research-----13 Latent Class Analysis of Substance Abuse Patterns-----64 Latent Transition Analysis and How It Can Address Prevention Research Questions-----81 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 Multilevel Models for Hierarchically Nested Data: Potential Applications in Substance Abuse Prevention Research-----140 Seven Ways To Increase Power Without Increasing N-----184 Designing and Analyzing Studies of Onset, Cessation, and Relapse: Using Survival Analysis in Drug Abuse Prevention Research-----196 Time Series Models of Individual Substance Abusers-----264 Use and Misuse of Repeated Measures Designs-----302 Meta-Analytical Issues for Prevention Intervention Research-----342 Dynamic Systems-Modeling as a Means To Estimate Community-Based Prevention Effects-----404 |
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