Incorporating trend data to aid in the causal interpretation of individual-level correlations among variables : examples focusing on the recent decline in marijuana use

New statistical methods for substance use prevention research / Linda M. Collins and Larry A. Seitz — Analysis with missing data in drug prevention research / John W. Graham, Scott M. Hofer and Andrea M. Piccinin — Latent class analysis of substance abuse patterns / John S. Uebersax — Latent transition analysis and how it can address prevention research questions / Linda M. Collins … [et al.] — Incorporating trend data to aid in the causal interpretation of individual-level correlations among variables : examples focusing on the recent decline in marijuana use / Jerald G. Bachman — Multilevel models for hierarchically nested data : potential applications in substance abuse prevention research / Ita G.G. Kreft — Seven ways to increase power without increasing N / William B. Hansen and Linda M. Collins — Designing and analyzing studies on onset, cessation, and relapse : using survival analysis in drug abuse prevention research / Judith D. Singer and John B. Willett — Time series models of individual substance abusers / Wayne F. Velicer — Use and misuse of repeated measures designs / Robert S. Barcikowski and Randall R. Robey — Meta-analytical issues for prevention intervention research / Nan Tobler — Dynamic systems-modeling as a means to estimate community-based prevention effects / Barry M. Kibel and Harold D. Holder.