Causal Theory and Scientific Inference 1) Causal Thinking in Psychopathology Research Patrick E. Shrout, PhD 2) What Would Have Been is Not What Would Be: Counterfactuals of the Past and Potential Outcomes of the Future Sharon Schwartz, PhD, Nicolle M. Gatto, PhD, Ulka B. Campbell, PhD, 3) The Mathematics of Causal Relations Judea Pearl, PhD 4) Causal Thinking in Psychiatry: A Genetic and Manipulationist Perspective Kenneth S. Kendler, MD 5) Understanding the Effects of Menopausal Hormone Therapy: Using the Women's Health Initiative Randomized Trials and Observational Study to Improve Inference Garnet L Anderson, PhD, Ross L Prentice, PhD, Innovations in Methods 6) Alternative Graphical Causal Models and the Identification of Direct Effects James Robins, MD, Thomas Richardson, PhD 7) General Approaches to Analysis of Course: Applying Growth Mixture Modeling to Randomized Trials of Depression Medication Bengt 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 Strategies Alena I. Oetting, M.S., Janet A. Levy, PhD, Roger D. Weiss, MD, Susan A. Murphy, PhD 9) Obtaining Robust Causal Evidence from Observational Studies: Can Genetic Epidemiology Help? George Davey Smith MD, DSc 10) Rare Variant Approaches to Understanding the Causes of Complex Neuropsychiatric Disorders Matthew W. State, MD, PhD, Causal Thinking in Psychiatry 11) Causal Thinking in Developmental Disorders E. Jane Costello, PhD, Adrian Angold, MRCPsych 12) Causes of Posttraumatic Stress Disorder Naomi Breslau, PhD 13) Causal Thinking for Objective Psychiatric Diagnostic Criteria: A Programmatic Approach in Therapeutic Context Donald F. Klein, MD, DSc 14) The Need for Dimensional Approaches in Discerning the Origins of Psychopathology Robert F. Krueger, PhD, Daniel J. Goldman

"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 are presented; 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 a variety 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 of studies 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 awareness of 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

Selling point: Includes chapters from the leading thinkers and researchers in psychopathology Selling point: Highlights presentations from the ground-breaking 2008 meeting of the American Pyschopathology Association Selling point: Investigates new ways to approach and question causal inferences that are often made when considering psychopathology research

Patrick Shrout New York University New York, NY Katherine Keyes, MPH Mailman School of Public Health Department of Epidemiology Columbia University New York, NY Katherine Ornstein, MPH Mailman School of Public Health Department of Epidemiology Columbia University New York, NY

Selling point: Includes chapters from the leading thinkers and researchers in psychopathology Selling point: Highlights presentations from the ground-breaking 2008 meeting of the American Pyschopathology Association Selling point: Investigates new ways to approach and question causal inferences that are often made when considering psychopathology research