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Stephen G. Pauker
Researcher at Tufts Medical Center
Publications - 269
Citations - 24203
Stephen G. Pauker is an academic researcher from Tufts Medical Center. The author has contributed to research in topics: Decision analysis & Cost effectiveness. The author has an hindex of 70, co-authored 269 publications receiving 23206 citations. Previous affiliations of Stephen G. Pauker include University of Illinois at Chicago & Brigham and Women's Hospital.
Papers
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Journal ArticleDOI
Prevention of VTE in Nonsurgical Patients: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines
Yngve Falck-Ytter,Charles W. Francis,Norman A. Johanson,Catherine Curley,Ola E. Dahl,Sam Schulman,Thomas L. Ortel,Stephen G. Pauker,Clifford W. Colwell +8 more
TL;DR: In this article, the authors focus on optimal prophylaxis to reduce postoperative pulmonary embolism and DVT following major orthopedic surgery, and suggest the use of low-molecular-weight heparin in preference to the other agents we have recommended as alternatives.
Journal ArticleDOI
Prevention of VTE in Orthopedic Surgery Patients
Yngve Falck-Ytter,Charles W. Francis,Norman A. Johanson,Catherine Curley,Ola E. Dahl,Sam Schulman,Thomas L. Ortel,Stephen G. Pauker,Clifford W. Colwell +8 more
TL;DR: Optimal strategies for thromboprophylaxis after major orthopedic surgery include pharmacologic and mechanical approaches.
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On the Elicitation of Preferences for Alternative Therapies
TL;DR: It is suggested that an awareness of variations in the way information is presented to patients influence their choices between alternative therapies could help reduce bias and improve the quality of medical decision making.
Journal ArticleDOI
The threshold approach to clinical decision making.
TL;DR: Using the concepts of decision analysis, expressions for two threshold probabilities involved in the choice of whether to withhold treatment, obtain more data by testing, or treat without subjecting the patient to the risks of further diagnostic tests are derived.
Journal ArticleDOI
The Markov Process in Medical Prognosis
J. Robert Beck,Stephen G. Pauker +1 more
TL;DR: A general- purpose model of medical prognosis based on the Markov process is described and it is shown how this simple mathematical tool may be used to generate detailed and accurate assessments of life expectancy and health status.