---
title: "Michael W. Kattan og Thomas A. Gerds Medical Risk Prediction Models"
brand: "Michael W. Kattan og Thomas A. Gerds"
category: "Ukategoriseret"
price_min: 589
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/medical-risk-prediction-models-55141b
last_checked: 2026-07-22
---

# Michael W. Kattan og Thomas A. Gerds Medical Risk Prediction Models

Mærke: Michael W. Kattan og Thomas A. Gerds · Kategori: Ukategoriseret

Sammenlign priser på Michael W. Kattan og Thomas A. Gerds Medical Risk Prediction Models fra 1 forhandler. Billigste pris nu: 589 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/medical-risk-prediction-models-55141b

## Priser
- **Billigste pris nu:** 589 kr hos Saxo DK

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 589 kr | — |

## Om produktet
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.

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Kilde: PriceTracker. Fuld side med interaktiv prishistorik og købslinks: https://pricetracker.dk/p/medical-risk-prediction-models-55141b
Priserne er sidst kontrolleret 2026-07-22.
