Dynamic Prediction in Clinical Survival Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Image 1

£147.19

CRC Press Dynamic Prediction in Clinical Survival Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Name: Dynamic Prediction in Clinical Survival Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Brand: CRC Press
Price: 147.19 GBP
Availability: InStock

Software & Graphics

This is the most expensive it has ever been. Walk away.

£147 today · previous high £147 · all-time low £111

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 584 days • 584 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 584 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £140-147 (199 days, 34.1%)

Price range: £111 - £147

Price levels: 5 price ranges over 584 days

Description

There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to present those as static models for remaining lifetime after diagnosis or treatment. In contrast, Dynamic Prediction in Clinical Survival Analysis focuses on dynamic models for the remaining lifetime at later points in time, for instance using landmark models. Designed to be useful to applied statisticians and clinical epidemiologists, each chapter in the book has a practical focus on the issues of working with real life data. Chapters conclude with additional material either on the interpretation of the models, alternative models, or theoretical background. The book consists of four parts: Part I deals with prognostic models for survival data using (clinical) information available at baseline, based on the Cox model Part II is about prognostic models for survival data using (clinical) information available at baseline, when the proportional hazards assumption of the Cox model is violated Part III is dedicated to the use of time-dependent information in dynamic prediction Part IV explores dynamic prediction models for survival data using genomic data Dynamic Prediction in Clinical Survival Analysis summarizes cutting-edge research on the dynamic use of predictive models with traditional and new approaches. Aimed at applied statisticians who actively analyze clinical data in collaboration with clinicians, the analyses of the different data sets throughout the book demonstrate how predictive models can be obtained from proper data sets.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1439835330
Category: Books > Subjects > Computing & Internet > Software & Graphics
Domain: Amazon UK
Release Date: 10 November 2011
Listed Since: 11 October 2010

Barcode

No barcode data available

CRC Press Dynamic Prediction in Clinical Survival Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Dynamic Prediction in Clinical Survival Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Statistical Methods for Survival Data Analysis, 4th Edition (Wiley Series in Probability and Statistics)

Medical Risk Prediction Models: With Ties to Machine Learning (Chapman & Hall/CRC Biostatistics Series)

Medical Risk Prediction Models: With Ties to Machine Learning (Chapman & Hall/CRC Biostatistics Series)

Advanced Survival Models (Chapman & Hall/CRC Biostatistics Series)

Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating (Statistics for Biology and Health)

Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating (Statistics for Biology and Health)

Interval-Censored Time-to-Event Data: Methods and Applications (Chapman & Hall/CRC Biostatistics Series)

Interval-Censored Time-to-Event Data: Methods and Applications: 52 (Chapman & Hall/CRC Biostatistics Series)

Prognosis Research in Healthcare: Concepts, Methods, and Impact

Emerging Topics in Modeling Interval-Censored Survival Data (ICSA Book Series in Statistics)

Empirical Likelihood Method in Survival Analysis: 79 (Chapman & Hall/CRC Biostatistics)

Dynamic Regression Models for Survival Data (Statistics for Biology and Health)

Applied Survival Analysis Using R (Use R!)

Survival Analysis for Epidemiologic and Medical Research: A Practical Guide (Practical Guides to Biostatistics and Epidemiology)

Modelling Survival Data in Medical Research (Chapman & Hall/CRC Texts in Statistical Science)

Modeling Survival Data: Extending the Cox Model (Statistics for Biology and Health)

Survival Analysis for Epidemiologic and Medical Research: A Practical Guide (Practical Guides to Biostatistics and Epidemiology)

Bayesian Survival Analysis (Springer Series in Statistics)

Survival Analysis Using SAS: A Practical Guide, Second Edition

Multivariate Survival Analysis and Competing Risks (Chapman & Hall/CRC Texts in Statistical Science)

CRC Press Multivariate Survival Analysis and Competing Risks

Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research (Statistics in Practice)

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R (Chapman & Hall/CRC Biostatistics Series)