Dynamic Regression Models for Survival Data (Statistics for Biology and Health) - Image 1

£51.09

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

Name: Dynamic Regression Models for Survival Data (Statistics for Biology and Health)
Brand: Springer
Price: 51.09 GBP
Availability: InStock

illustrations, index

Public Health

This is the usual price. Wait for it to drop, or tell us your number.

£51 today · usual range £0–£0 · best ever £45

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 581 days • 581 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 581 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £56-59 (149 days, 25.6%)

Price range: £45 - £59

Price levels: 5 price ranges over 581 days

Description

In survival analysis there has long been a need for models that goes beyond the Cox model as the proportional hazards assumption often fails in practice. This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models with the specific aim of describing time-varying effects of explanatory variables. One model that receives special attention is Aalen’s additive hazards model that is particularly well suited for dealing with time-varying effects. The book covers the use of residuals and resampling techniques to assess the fit of the models and also points out how the suggested models can be utilised for clustered survival data. The authors demonstrate the practically important aspect of how to do hypothesis testing of time-varying effects making backwards model selection strategies possible for the flexible models considered. The use of the suggested models and methods is illustrated on real data examples. The methods are available in the R-package timereg developed by the authors, which is applied throughout the book with worked examples for the data sets. This gives the reader a unique chance of obtaining hands-on experience. This book is well suited for statistical consultants as well as for those who would like to see more about the theoretical justification of the suggested procedures. It can be used as a textbook for a graduate/master course in survival analysis, and students will appreciate the exercises included after each chapter. The applied side of the book with many worked examples accompanied with R-code shows in detail how one can analyse real data and at the same time gives a deeper understanding of the underlying theory.

Product Specifications

Brand: Springer
Model: illustrations, index
Format: hardcover
ASIN: 0387202749
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > General Medical Issues > Public Health
Domain: Amazon UK
Release Date: 20 March 2006
Listed Since: 14 December 2006

Barcode

No barcode data available

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

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

Applied Survival Analysis Using R (Use R!)

Survival Analysis Using S: Analysis of Time-to-Event Data: 61 (Chapman & Hall/CRC Texts in Statistical Science)

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

Survival Analysis: Proportional and Non-Proportional Hazards Regression

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

CRC Press Multivariate Survival Analysis and Competing Risks

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

Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health)

Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health)

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

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

Survival Analysis with Long-Term Survivors: 16 (Wiley Series in Probability and Statistics)

Analysis of Failure and Survival Data (Chapman & Hall/CRC Texts in Statistical Science)

Analysis of Failure and Survival Data (Chapman & Hall/CRC Texts in Statistical Science)

Survival Analysis with Correlated Endpoints: Joint Frailty-Copula Models (SpringerBriefs in Statistics)

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

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS (Chapman & Hall/CRC Interdisciplinary Statistics)

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS (Chapman & Hall/CRC Interdisciplinary Statistics)

Survival Analysis: Techniques for Censored and Truncated Data (Statistics for Biology and Health)

Survival Analysis: A Practical Approach

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

Recent Advances in Lifetime and Reliability Models

Analysis of Survival Data: 21 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)