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Using prognostic models in clinical infertility
Human Fertility, 2000The chance that a couple who have tried to conceive for 12 months will succeed without assisted conception treatment is still higher than the chance that the same couple will benefit from treatment. In this context, it is important to assess the chance that a treatment-independent or 'spontaneous' pregnancy will occur in a couple whose wish for a child
Mol, Ben W. J. +2 more
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Prognostics by interacting multiple model estimator
2016 IEEE International Conference on Prognostics and Health Management (ICPHM), 2016In prognostics, the modeling of the failure models is complicated even for a single component, such as fatigue crack growth. For a complex system, there are a large number of components, and hence the failing models can be even more complicated due to diverse sub-systems and their components.
Yanjun Yan +3 more
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2000
Multiple regression analyses have found widespread use in melanoma research. Such methods are natural candidates for prognostic factor studies, where it is desired to examine the joint influence of various clinical, pathologic, and demographic variables on indicators of disease. For example, in a recent article, Schuchter et al.
Ranjini Natarajan, Martin A. Weinstock
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Multiple regression analyses have found widespread use in melanoma research. Such methods are natural candidates for prognostic factor studies, where it is desired to examine the joint influence of various clinical, pathologic, and demographic variables on indicators of disease. For example, in a recent article, Schuchter et al.
Ranjini Natarajan, Martin A. Weinstock
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2019
Prognostic models combine multiple prognostic factors to estimate the risk of future outcomes in individuals with a particular disease or health condition. A useful model provides accurate predictions to support decision making by individuals and caregivers.
Richard D Riley +6 more
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Prognostic models combine multiple prognostic factors to estimate the risk of future outcomes in individuals with a particular disease or health condition. A useful model provides accurate predictions to support decision making by individuals and caregivers.
Richard D Riley +6 more
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Models of Prognostication in Chronic Myelomonocytic Leukemia
Current Hematologic Malignancy Reports, 2017Within the group of the myelodysplastic/myeloproliferative overlap neoplasms of the adult age, chronic myelomonocytic leukemia (CMML) is characterized by an extremely variable clinical course. This review aims to cover over the years main advancements in the identification of CMML clinical and biological features associated to survival outcomes and the
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Prognostic models in melanoma.
Seminars in oncology, 1997Predicting which patients with primary melanoma are at risk of developing metastastic disease is important for making rational therapeutic decisions. Tumor thickness alone is the most commonly used predictor of survival, but other clinical and pathologic variables also play an important role.
A C, Halpern, L M, Schuchter
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How to conduct a systematic review and meta-analysis of prognostic model studies
Clinical Microbiology and Infection, 2023Johanna A A Damen +2 more
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