A Statistical Model for Predicting the Outcome in Breast Cancer Malpractice Lawsuits

OBJECTIVETo analyze specific medical, legal, and cost factors that predict the probability of successfully defending lawsuits filed because of failure to diagnose breast cancer.

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Bibliographische Detailangaben
Veröffentlicht in:	Obstetrics and gynecology (New York. 1953) 1994-09, Vol.84 (3), p.392-398
Hauptverfasser:	ZYLSTRA, SAMUEL, BORS-KOEFOED, ROY, MONDOR, MAUREEN, ANTI, DENNIS, GIORDANO, KEVIN, RESSEGUIE, LAURENCE J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Biological and medical sciences Breast Neoplasms - epidemiology Costs and Cost Analysis Female Female genital diseases Gynecology - legislation & jurisprudence Gynecology. Andrology. Obstetrics Humans Logistic Models Malpractice - economics Malpractice - legislation & jurisprudence Malpractice - statistics & numerical data Massachusetts - epidemiology Medical sciences Models, Statistical Obstetrics - legislation & jurisprudence Regression Analysis Risk Management Tumors
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Beschreibung
Zusammenfassung:	OBJECTIVETo analyze specific medical, legal, and cost factors that predict the probability of successfully defending lawsuits filed because of failure to diagnose breast cancer.
ISSN:	0029-7844 1873-233X