Flexible Parametric Survival Analysis Using Stata

This book PDF is perfect for those who love Mathematics genre, written by Patrick Royston and published by Stata Press which was released on 04 August 2011 with total hardcover pages 0. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Flexible Parametric Survival Analysis Using Stata books below.

Flexible Parametric Survival Analysis Using Stata
Author : Patrick Royston
File Size : 45,7 Mb
Publisher : Stata Press
Language : English
Release Date : 04 August 2011
ISBN : 1597180793
Pages : 0 pages
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Flexible Parametric Survival Analysis Using Stata by Patrick Royston Book PDF Summary

Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.

Flexible Parametric Survival Analysis Using Stata

Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of

Get Book
Flexible Parametric Survival Analysis Using Stata

Download or read online Flexible Parametric Survival Analysis Using Stata written by Patrick Royston, published by Unknown which was released on 2011. Get Flexible Parametric Survival Analysis Using Stata Books now! Available in PDF, ePub and Kindle.

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Flexible Parametric Survival Analysis Using Stata

Download or read online Flexible Parametric Survival Analysis Using Stata written by Patrick Royston, published by Unknown which was released on 2011. Get Flexible Parametric Survival Analysis Using Stata Books now! Available in PDF, ePub and Kindle.

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An Introduction to Survival Analysis Using Stata  Second Edition

"[This book] provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves not only as a tutorial for those wishing to learn survival analysis but as a ... reference for experienced researchers ..."--Book jacket.

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Prognosis Research in Healthcare

"What is going to happen to me?" Most patients ask this question during a clinical encounter with a health professional. As well as learning what problem they have (diagnosis) and what needs to be done about it (treatment), patients want to know about their future health and wellbeing (prognosis). Prognosis

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Multivariable Model   Building

Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. The main emphasis is on the fractional polynomial method for modeling the influence of

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There has been increased interest in studying cancer patient survival in recent years, which has prompted advances in methods for estimating and modeling cancer patient survival. This book is the first focused on this topic, and uses real data and software to illustrate the methods involved. The supporting website provides

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Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used statistical program that provides tools for data analysis. The book emphasizes the usefulness of event history models for causal analysis in the social sciences and the application of continuous-time models. T

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