Get Causality and Psychopathology: Finding the Determinants of PDF

By Patrick PhD Shrout, Katherine MPH Keyes, Katherine MPH Ornstein

ISBN-10: 0199754640

ISBN-13: 9780199754649

A part of the hot American Pyschopathological organization sequence. Containing contributions from best students of causal pondering in epidemiology and psychopathology learn, this quantity is predicated on displays on the ground-breaking 2008 assembly of the yankee Psychopathological organization. The authors discover the which means of causal statements which are made of statistical and experimental proof; then, they recommend novel ways to research those statements and hence cause them to extra informative and medically rigorous. the gathering of chapters uniquely comprises either methodological contributions and unique checks of the way causal inferences will be made while contemplating study effects on developmental psychopathology, scientific psychopharmacology, character issues, post-traumatic rigidity ailment, and psychiatric genetics. In reading causal references, the authors study controversies surrounding a number of problems and their remedy.

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Extra info for Causality and Psychopathology: Finding the Determinants of Disorders and their Cures (American Psychopathological Association)

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Biometrics, 58, 21–29. 1 Integrating Causal Analysis into Psychopathology Research 23 Freedland, K. , Skala, J. , Carney, R. , Rubin, E. , Lustman, P. , DavilaRoman, V. , et al. (2009). Treatment of depression after coronary artery bypass surgery: A randomized controlled trial. Archives of General Psychiatry, 66(4), 387–396. , & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. New York: Cambridge University Press. , & Robins, J. M. (1999a). Causal diagrams for epidemiologic research.

Et al. (2003). When should a trial of fluoxetine for major depression be declared failed? American Journal of Psychiatry, 160(4), 734–740. , & Kim, S. (2006). How causal knowledge affects classification: A generative theory of categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32(4), 659–683. Robins, J. M. (1986). A new approach to causal inference in mortality studies with sustained exposure periods—applications to control of the healthy worker survivor effect.

Ironically, researchers often attribute these public-health failures to a narrowness of vision imposed by the same models of causal inference that heralded modern advances in epidemiology and allied social and biological sciences. That is, counterfactual models improve causal inference in our studies but are held at least partly responsible for the failures of the interventions that follow those studies. , Shy, 1997; McMichael, 1999). While there are many aspects of the potential outcomes model that warrant discussion, here we focus on one narrowly framed question: Is it possible, as the critics contend, that the same models that enhance the validity of our studies can mislead us when we try to intervene on the causes these studies uncover?

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Causality and Psychopathology: Finding the Determinants of Disorders and their Cures (American Psychopathological Association) by Patrick PhD Shrout, Katherine MPH Keyes, Katherine MPH Ornstein


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