Causality and Psychopathology

Patrick ShroutNew York UniversityNew York, NYKatherine Keyes, MPHMailman School of Public HealthDepartment of EpidemiologyColumbia UniversityNew York, NYKatherine Ornstein, MPHMailman School of Public HealthDepartment of EpidemiologyColumbia UniversityNew York, NY

"This unique edited volume brings together diverse influential perspectives on causal thinking that can be applied to understand the determinants of psychopathology. Rubin's potential outcomes model from statistics, Campbell's perspective from the behavioral sciences, perspectives from epidemiology, graphical causal models from computer science, and novel approaches based on genetic theory are all represented. New approaches to designs and analysis arepresented; new thinking about psychiatric diagnosis is also presented. This innovative set of chapters will be of interest not only to researchers in psychopathology, but also to those researchers from avariety of disciplines who wish to both broaden and integrate their understanding of important new perspectives on causal inference." -- Stephen G. West, PhD, Professor, Psychology Department, Arizona State University; and Gastprofessor, Arbeitsbereich Methoden und Evaluation, Freie Universitaet Berlin, Germany"Causality and Psychopathology is an incomparable and fundamental book for any social scientist that is seriously considering addressing causal issues in psychopathology research. The breadth of topics (e.g., counterfactuals, confounding, statistical bias, mediation analysis, inference, trajectory classes, observational research) covered makes it an invaluable resource for all of us navigating the perils of establishing causal relationships in diverse types ofstudies as well as the problems (e.g. non-adherence, selective missing, attrition) in making causal statements about mental health processes. The authors' chief contributions lie in raising awarenessof the available tools and analytical methods that can advance causal inference in psychopathology. The book is a masterpiece. -- Margarita Alegría, PhD, Director, Center for Multicultural Mental Health Research, Cambridge Health Alliance & Harvard Medical School, Somerville, MA

• Causal Theory and Scientific Inference1) Causal Thinking in Psychopathology ResearchPatrick E. Shrout, PhD2) What Would Have Been is Not What Would Be: Counterfactuals of the Past and Potential Outcomes of the FutureSharon Schwartz, PhD, Nicolle M. Gatto, PhD, Ulka B. Campbell, PhD, 3) The Mathematics of Causal RelationsJudea Pearl, PhD4) Causal Thinking in Psychiatry: A Genetic and Manipulationist PerspectiveKenneth S. Kendler, MD5) Understanding the Effects of Menopausal Hormone Therapy: Using the Women's Health Initiative Randomized Trials and Observational Study to Improve InferenceGarnet L Anderson, PhD, Ross L Prentice, PhD, Innovations in Methods6) Alternative Graphical Causal Models and the Identification of Direct EffectsJames Robins, MD, Thomas Richardson, PhD7) General Approaches to Analysis of Course: Applying Growth Mixture Modeling to Randomized Trials of Depression MedicationBengt Muthén, PhD, Hendricks C. Brown, PhD, Aimee M. Hunter, PhD, Ian A. Cook, MD, Andrew F. Leuchter, MD 8) Statistical Methodology for a SMART Design in the Development of Adaptive Treatment StrategiesAlena I. Oetting, M.S., Janet A. Levy, PhD, Roger D. Weiss, MD, Susan A. Murphy, PhD9) Obtaining Robust Causal Evidence from Observational Studies: Can Genetic Epidemiology Help?George Davey Smith MD, DSc10) Rare Variant Approaches to Understanding the Causes of Complex Neuropsychiatric DisordersMatthew W. State, MD, PhD, Causal Thinking in Psychiatry11) Causal Thinking in Developmental DisordersE. Jane Costello, PhD, Adrian Angold, MRCPsych12) Causes of Posttraumatic Stress DisorderNaomi Breslau, PhD13) Causal Thinking for Objective Psychiatric Diagnostic Criteria: A Programmatic Approach in Therapeutic ContextDonald F. Klein, MD, DSc14) The Need for Dimensional Approaches in Discerning the Origins of PsychopathologyRobert F. Krueger, PhD, Daniel J. Goldman