What do you think?
Rate this book
Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating
Despite advances in statistical approaches towards clinical outcome prediction, these innovations are insufficiently utilized in medical research. This book provides information on how modern statistical concepts and regression methods can be applied.
528 pages, Paperback
First published October 10, 2008
7 people are currently reading
19 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 of 1 review
December 24, 2018
A practical statistical book for clinical prediction model. This book is very easy to read and learn as each chapter very well and in-depth explained " How to develop an effective prediction model, and how to validated the development model by different approaches".
The author described the majority of validation techniques such internal validation (Apparent, Split-sample and bootstrapping), external validation by using another sample that should be similar to the researcher development model predictors. Overall, I recommended this book for those who are interesting to learn or develop a prediction model even in different multi-disciplines as business, social sciences and economics.
The author described the majority of validation techniques such internal validation (Apparent, Split-sample and bootstrapping), external validation by using another sample that should be similar to the researcher development model predictors. Overall, I recommended this book for those who are interesting to learn or develop a prediction model even in different multi-disciplines as business, social sciences and economics.
Displaying 1 of 1 review