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Medical Risk Prediction Models | 1:a upplagan

Medical Risk Prediction Models | 1:a upplagan

  • Danskt band, Engelska, 2021
  • Författare: Thomas A. Gerds, Michael W. Kattan
  • Betyg:
2197
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Beskrivning

Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient’s individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation. Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest.

Features:





All you need to know to correctly make an online risk calculator from scratch.







Discrimination, calibration, and predictive performance with censored data and competing risks.







R-code and illustrative examples.







Interpretation of prediction performance via benchmarks.







Comparison and combination of rival modeling strategies via cross-validation.

Produktinformation

Kategori:
Okänd
Bandtyp:
Danskt band
Språk:
Engelska
Förlag:
Okänt
Upplaga:
1
Utgiven:
2021-02-01
ISBN:
9781138384477
Sidantal:
312

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