D
Douglas Mossman
Researcher at University of Cincinnati Academic Health Center
Publications - 107
Citations - 3436
Douglas Mossman is an academic researcher from University of Cincinnati Academic Health Center. The author has contributed to research in topics: Poison control & Receiver operating characteristic. The author has an hindex of 29, co-authored 107 publications receiving 3307 citations. Previous affiliations of Douglas Mossman include University of Dayton & Wright State University.
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Assessing predictions of violence: Being accurate about accuracy.
TL;DR: This article showed that past behavior alone is a better long-term predictor of future behavior than clinical judgments and may also be a better indicator than cross-validated actuarial techniques and reanalyzes 58 data sets from 44 published studies of violence prediction.
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Three-way ROCs
TL;DR: This article extends ROC concepts to diagnostic enterprises with three possible outcomes, and summarizes global diagnostic accuracy for trichotomous tests, just as the area under a ROC curve does for a two-Alternative diagnostic task.
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ROC curves, test accuracy, and the description of diagnostic tests.
Douglas Mossman,Eugene Somoza +1 more
TL;DR: The ways that R OC methods quantify test accuracy and how ROC methods characterize the distributions of test outcomes in study populations are described.
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AAPL Practice Guideline for the Forensic Psychiatric Evaluation of Competence to Stand Trial
Douglas Mossman,Stephen Noffsinger,Peter Ash,Richard L. Frierson,Joan B. Gerbasi,Maureen Hackett,Catherine F. Lewis,Debra A. Pinals,Charles L. Scott,Karl G. Sieg,Barry W. Wall,Howard Zonana +11 more
TL;DR: Full Document: Wall BW, Ash P, Keram E, et al: AAPL Practice Resource for the Forensic Psychiatric Evaluation of Competence to Stand Trial Update 2018.
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Maximizing Diagnostic Information From the Dexamethasone Suppression Test: An Approach to Criterion Selection Using Receiver Operating Characteristic Analysis
Douglas Mossman,Eugene Somoza +1 more
TL;DR: Data from seven published studies is employed to demonstrate how ROC analysis may be used to characterize the discriminative properties of the dexamethasone suppression test (DST) and to select cortisol cutoff levels with the highest information content for each of the DST studies.