Evaluating prediction models in reproductive medicine
نویسندگان
چکیده
منابع مشابه
Evaluating prediction models in reproductive medicine.
Prediction models are used in reproductive medicine to calculate the probability of pregnancy without treatment, as well as the probability of pregnancy after ovulation induction, intrauterine insemination or in vitro fertilization. The performance of such prediction models is often evaluated with a receiver operating characteristic (ROC) curve. The area under the ROC curve, also known as c-sta...
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BACKGROUND Prediction models have been developed in reproductive medicine to help assess the chances of a treatment-(in)dependent pregnancy. Careful evaluation is needed before these models can be implemented in clinical practice. METHODS We systematically searched the literature for papers reporting prediction models in reproductive medicine for three strategies: expectant management, intrau...
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Natalie Z. Burger, M.D., Y. Elizabeth Hung, M.D., M.P.H., Alexandra N. Kalof, M.D., and Peter R. Casson, M.D. a Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, University of Vermont, Burlington, Vermont; b Department of Obstetrics and Gynecology, North Shore University Hospital, Manhasset, New York; and c Department of Pathology, University of Ve...
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ژورنال
عنوان ژورنال: Human Reproduction
سال: 2009
ISSN: 0268-1161,1460-2350
DOI: 10.1093/humrep/dep109