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Prevention Science & Methodology Group
PSMG Published References in the Last Five Years
Brown, C. H. (2003). Design principles and their application in preventive field trials. In W. J. Bukoski & Z. Sloboda (Eds.), Handbook of Drug Abuse Prevention: Theory, Science, and Practice (pp. 523-540). New York: Plenum.
Brown, C. H., Berndt, D., Brinales, J. M., Zong, X., & Bhagwat, D. (2000). Evaluating the evidence of effectiveness for preventive interventions: Using a registry system to influence policy through science. Addictive Behaviors, 25(6), 955-964.
Brown, C. H., & Faraone, S. V. (2004). Prevention of schizophrenia and psychotic behavior: definitions and methodologic issues. In W. S. Stone, S. V. Faraone & M. T. Tsuang (Eds.), Early Clinical Intervention and Prevention in Schizophrenia (pp. 255-284). Totowa, New Jersey: The Humana Press.
Brown, C. H., Indurkhya, A., & Kellam, S. G. (2000). Power calculations for data missing by design with application to a follow-up study of exposure and attention. Journal of the American Statistics Association, 95(450), 383-395.
Brown, C. H., & Liao, J. (1999). Principles for designing randomized preventive trials in mental health: An emerging developmental epidemiology paradigm. American Journal of Community Psychology, 27(5), 673-710.
Capaldi, D. M., Dishion, T. J., Stoolmiller, M., & Yoerger, K. (2001). Aggression toward female patners by at-risk young men: The contribution of male adolescent friendships. Developmental Psychology, 37(1), 61-73.
Capaldi, D. M., Stoolmiller, M., Clark, S., & Owen, L. D. (2002). Heterosexual risk behaviors in at-risk young men from early adolescence to young adulthood: Prevalence, prediction, and association with STD contraction. Developmental Psychology, 38, 394-406.
Carlin, J. (2000). On "Tutorial in biostatistics. Meta-analysis: formulating, evaluating, combining and reporting" by S L T Normand. Statistics in Medicine, 19, 753-761.
Carlin, J. B., Wolfe, R., Brown, C. H., & Gelman, A. (2002). A case study on the choice, interpretation, and checking of multilevel models for longitudinal, binary outcomes. Biostatistics, 2, 397-416.
Cheong, J., & MacKinnon, D. P. (2003). Investigation of mediational processes using parallel process latent growth curve modeling. Structural Equation Modelling, 10(2), 238-262.
Curran, P., & Muthèn, B. (1999). The application of latent curve analysis to testing development theories in intervention research. American Journal of Community Psychology, 27, 567-595.
Dagne, G. A., Brown, C. H., & Howe, G. W. ([in press]). Bayesian hierarchical modeling of heterogeneity in multiple contingency tables: An application to behavioral observation data. Journal of Educational and Behavioral Statistics.
Dagne, G. A., Howe, G. W., Brown, C. H., & Muthén, B. O. (2002). Hierarchical modeling of sequential behavioral data: An empirical Bayesian approach. Psychological Methods, 7(2), 262-280.
Davis, C. H., MacKinnon, D. P., Schultz, A., & Sandler, I. (2003). Cumulative risk and population attributable fraction in prevention. Journal of Clinical Child and Adolescent Psychology, 32(2), 228-235.
Del Boca, F. K., Darkes, J., Greenbaum, P. E., & Goldman, M. S. ([in press]). Up close and personal: Temporal variability in the drinking of individual college students during their first year. Journal of Consulting and Clinical Psychology.
Dishion, T. J., Kavanagh, K., Schneiger, A., Nelson, S., & Kaufman, N. K. (2002). Preventing early adolescent substance use: A family-centered strategy for public middle school. Journal of Prevention Science, 3, 191-201.
Eddy, J. M., Smith, P., Brown, C. H., & Reid, J. R. ([in press]). A survey of prevention science training: Implications for training the next generation. Journal of Prevention Science.
Faraone, S. V., Brown, C. H., Glatt, S. J., & Tsuang, M. T. (2002). Preventing schizophrenia and psychotic behaviour: definitions and methodological issues. Canadian Journal of Psychiatry, 47, 527-537.
Furr-Holden, C. D. M., Ialongo, N., Anthony, J. C., Petras, H., & Kellam, S. (2004). Developmentally inspired drug prevention: middle school outcomes in a school-based randomized prevention trial. Drug and Alcohol Dependence, 73, 149-158.
Gluck, J., & Indurkhya, A. (2001). Assessing changes in the longitudinal salience of items within constructs. Journal of Adolescent Research, 16(2), 169-187.
Howe, G. W. (2003). Next-generation trials for the prevention of depression: Lessons from longitudinal epidemiology and developmental psychopathology. Prevention and Treatment (APA electronic journal, posted 9/13/2003, accessible at, 6(16).
Howe, G. W., Dagne, G. A., & Brown, C. ( [Accepted for publication]). Multilevel methods for modeling observed sequences of family interaction. Journal of Family Process.
Howe, G. W., Reiss, D., & Yuh, J. (2002). Can prevention trials test theories of etiology? Development and Psychopathology, 14, 673-693.
Ialongo, N. S., Werthamer, L., Kellam, S. G., Brown, C. H., Wang, S., & Lin, Y. (1999). Proximal impact of two first-grade preventive interventions on the early risk behaviors for later substance abuse, depression, and antisocial behavior. American Journal of Community Psychology, 27(5), 599-641.
Indurkhya, A., & von Eye, A. (2000). The power of tests in Configural Frequency Analysis. Psychologische Beitrage [Contributions to Psychology], 42, 301-308.
Indurkhya, A., Zayas, L. H., & Buka, S. ([in press]). Sample size estimates for inter-rater agreement studies. Psychological Research.
Jo, B. (2002). Estimation of intervention effects with noncompliance: Alternative model specifications. Journal of Educational & Behavioral Statistics, 27(4), 385-409.
Jo, B. (2002). Model misspecification sensitivity analysis in estimating causal effects of interventions with noncompliance. Statistics in Medicine, 21, 3161-3181.
Jo, B. (2002). Statistical power in randomized intervention studies with noncompliance. Psychological Methods, 7(2), 178-193.
Jo, B., & Muthen, B. (2003). Longitudinal studies with intervention and noncompliance: Estimation of causal effects in growth mixture modeling. In N. Duan & S. Reise (Eds.), Multilevel modeling: methodological advances, issues, and applications (pp. 112-139). Mahwah, N.J.: Lawrence Erlbaum Associates.
Jo, B., & Muthen, B. O. (2001). Modeling of intervention effects with noncompliance: A latent variable approach for randomized trials. New developments and techniques in structural equation modeling., 57-87.
Johnson, M. A., Brown, C., & Wells, S. J. (2002). Using classification and regression trees (CART) to support worker decision making. Social Work Research, 26(1), 19-29.
Kellam, S. G., Ling, X., Merisca, R., Brown, C., & Ialongo, N. (1998). The effect of the level of aggression in the first grade classroom on the course and malleability of aggressive behavior into middle school. Development & Psychopathology, 10(2), 165-185.
Kellam, S. G., Ling, X., Merisca, R., Brown, C. H., & Ialongo, N. (2000). Erratum: The effect of the level of aggression in the first grade classroom on the course and malleability of aggressive behavior into middle school. Development & Psychopathology, 12(1), 107.
Kellam, S. G., Mayer, L. S., Rebok, G. W., & Hawkins, W. E. (1998). Effects of improving achievement on aggressive behavior and of improving aggressive behavior on achievement through two preventive interventions: An investigation of causal paths. In Dohrenwend, Bruce P (Ed) (1998) Adversity, stress, and psychopathology (pp 486-505) xv, 567pp.
Khoo, S. T. (2001). Assessing program effects in the presence of treatment-baseline interactions: A latent variable approach. Psychological Methods, 6(3), 234-257.
Klein, A., & Moosbrugger, H. (2000). Maximum likelihood estimation of latent interaction effects with the LMS method. Psychometnka, 65(4), 457-474.
Klein, A., & Muthen, B. ([in press]). Modeling heterogeneity of growth depending on initial status. Journal of Educational and Behavioral Statistics.
Klein, A., & Stoolmiller, M. (2003). Detecting latent interaction effects in behavioral data. Methods of Psychological Research, 8(2), 113-126.
Larsen, K. ([in press]). The Cox Proportional Hazards Model with a continuous latent variable measured by multiple categorical indicators. Biometrics.
Larsen, K. ([in press]). Joint analysis of time-to-event and multiple binary indicators of latent classes. Biometrics.
Liao, H., Rounds, J., & Klein, A. ([in press]). A test of Cramer s help-seeking model and acculturation effects with Asian American college students. Journal of Counseling Psychology.
Muthén, B. (2001). Latent variable mixture modeling. In G. A. Marcoulides & R. E. Schumacker (Eds.), New Developments and Techniques in Structural Equation Modeling (pp. 1-33): Lawrence Erlbaum Associates.
Muthén, B. (2001). Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class/latent growth modeling. In L. M. Collins & A. Sayer (Eds.), New Methods for the Analysis of Change (pp. 291-322). Washington, D.C.: APA.
Muthén, B. (2003). Statistical and substantive checking in growth mixture modeling. Psychological Methods, 8, 369-377.
Muthén, B. ([in press]). Latent variable analysis: Growth mixture modeling
and related techniques for longitudinal data. In D. Kaplan (Ed.), Handbook of quantitative methodology for the social sciences. Newbury Park, CA: Sage Publications.
Muthén, B., Brown, C., Masyn, K., Jo, B., Khoo, S. T., Yang, C. C., et al. (2002). General growth mixture modeling for randomized preventive interventions. Biostatistics, 3, 459-475.
Muthén, B., Jo, B., & Brown, C. H. ([in press]). Assessment of treatment effects using latent variable modeling: Comment on the Barnard, Frangakis, Hill & Rubin article, Principal stratification approach to broken randomized experiments: A case study of school choice vouchers in New York City. Journal of the American Statistical Association.
Muthén, B., Khoo, S. T., Francis, D. J., & Kim Boscardin, C. (2002). Analysis of reading skills development from Kindergarten through first grade: An application of growth mixture modeling to sequential processes. In S. Reise & N. Duan (Eds.), Multilevel Modeling: Methodological Advances, Issues, and Applications (pp. 71-89). Mahaw, NJ: Lawrence Erlbaum Associates.
Muthén, B., & Muthen, L. K. (2000). Integrating person-centered and variable-centered analysis: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research, 24, 882-891.
Muthén, B. O. (2002). Beyond SEM: General latent variable modeling. Behaviormetrika, 29(1), 81-117.
Muthén, B. O., & Khoo, S.-T. (1998). Longitudinal studies of achievement growth using latent variable modeling. Learning & Individual Differences, 10(2), 73-101.
Pacifici, C., Stoolmiller, M., & Nelson, C. (2001). Evaluating a prevention program for teenagers on sexual coercion: Adifferential effectiveness approach. Journal of Consulting & Clinical Psychology, 69(3), 552-559.
Petras, H., Chilcoat, H. D., Leaf, P. J., Ialongo, N., & Kellam, S. (2004). Utility of TOCA-R scores during the elementary school years in identifying later violence among adolescent males. J. Am. Acad. Child Adolesc. Psychiatry, 43(1).
Petras, H., Schaeffer, C. M., Ialongo, N., Hubbard, S., Muthen, B., Lambert, S., et al. ([in press]). When the course of aggressive behavior in childhood does not predict antisocial outcomes in adolescence and young adult: An examination of potential explanatory variables. Development and Psychopathology.
Reid, J. B., Eddy, J. M., Fetrow, R. A., & Stoolmiller, M. (1999). Description and immediate impacts of a preventive intervention for conduct problems. American Journal of Community Psychology, 27(4), 483-517.
Schaeffer, C. M., Petras, H., Ialongo, N., Poduska, J., & Kellam, S. (2003). Modeling growth in boys’ aggressive behavior across elementary school: Links to later criminal involvement, conduct disorder, and antisocial personality disorder. Developmental Psychology, 39(6), 1020–1035.
Snyder, J. J., & Stoolmiller, M. (2002). Reinforcement and coercion mechanisms in the development of antisocial behavior: The family. In J. B. Reid, G. R. Patterson & J. J. Snyder (Eds.), Antisocial behavior in children and adolescents: A developmental analysis and model for intervention (pp. 65-100). Washington, DC: American Psychological Association.
Stoolmiller, M. (2001). Synergistic interaction of child manageability problems and parent-discipline tactics in predicting future growth in externalizing behavior for boys. Developmental Psychology, 37, 814-825.
Stoolmiller, M., Eddy, J. M., & Reid, J. B. (2000). Detecting and describing preventive intervention effects in a universal school-based randomized trial targeting delinquent and violent behavior. Journal of Consulting & Clinical Psychology, 68(2), 296-306.
Szapocznik, J., Feaster, D., Mitrani, V. B., Prado, G., Smith, L., Robinson-Batista, C., et al. ([in press]). Structural ecosystems therapy for HIV-seropositive African-American women: Effects on psychological distress, family hassles, and family support. Journal of Consulting and Clinical Psychology.
von Eye, A., Indurkhya, A., & Kreppner, K. (2000). CFA as a tool for person-oriented research - unidimensional and within individual analyses of nominal level and ordinal data. Psychologische Beitrage [Contributions to Psychology], 42, 383-401.
Wells, S. J., P., L., Doueck, H. J., Brown, C. H., & Thomas, J. (2001). Ecological factors and screening in child protective services. Children and Youth Services Review.
Wills, T. A., & Stoolmiller, M. (2002). The role of self-control in early escalation of substance use: A time-varying analysis. Journal of Consulting and Clinical Psychology, 70, 986-997.