Hallo! Tracked shipping to Austria with Delivery Duty Paid for just €3.99  

Ship to
Austria
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Medical Risk Prediction Models: With Ties to Machine Learning (Chapman & Hall
Type
Physical Book
Publisher
Author
Language
English
Pages
312
Format
Paperback
ISBN13
9780367673734
Edition No.
1

Medical Risk Prediction Models: With Ties to Machine Learning (Chapman & Hall

Thomas A. Gerds; Michael W. Kattan (Author) · Crc Pr Inc · Paperback

Medical Risk Prediction Models: With Ties to Machine Learning (Chapman & Hall - Thomas A. Gerds; Michael W. Kattan

Cheaper New Book Imported to Austria
Delivery: 11 Sep - 18 Sep Shipping: 18 to 22 business days.
77,32 €
Faster New Book Imported to Austria
Delivery: 19 Aug - 20 Aug Shipping: 2 to 2 business days.
106,81 €
Import costs and 10% VAT included in the price ✅
77,32 €

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Medical Risk Prediction Models: With Ties to Machine Learning (Chapman & Hall "

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 Thomas A. Gerds is a professor at the Biostatistics Unit at the University of Copenhagen and is affiliated with the Danish Heart Foundation. He is the author of several R-packages on CRAN and has taught statistics courses to non-statisticians for many years. Michael W. Kattan is a highly cited author and Chair of the Department of Quantitative Health Sciences at Cleveland Clinic. He is a Fellow of the American Statistical Association and has received two awards from the Society for Medical Decision Making: the Eugene L. Saenger Award for Distinguished Service, and the John M. Eisenberg Award for Practical Application of Medical Decision-Making Research.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews