Showing posts with label Data. Show all posts
Showing posts with label Data. Show all posts

Thursday, October 13, 2016

Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis

Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis
By:"Olga Korosteleva"
Published on 2009-10-05 by Jones & Bartlett Learning

This ebook tells about Part of the new Digital Filmmaker Series! Digital Filmmaking: An Introductionis the first book in the newDigital Filmmaker Series. Designed for an introductory level course in digital filmmaking, it is intended for anyone who has an interest in telling stories with pictures and sound and won't assume any familiarity with equipment or concepts on the part of the student. In addition to the basics of shooting and editing, different story forms are introduced from documentary and live events through fictional narratives. Each of the topics is covered in enough depth to allow anyone with a camera and a computer to begin creating visual projects of quality.

This Book was ranked 39 by Google Books for keyword Survival Analysis.

You should Read this ebook Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis by click the cover ebook below

Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis
1.00' 0.75' 0.50' 0.25\u003cb\u003eSurvival\u003c/b\u003e Distribution Function 0.00'. . . . . . . O 5 10 15 20 25 \u003cbr\u003e\n30 Duration Figure 3.5 The actuarial \u003cb\u003esurvival\u003c/b\u003e curve in Example 3.5 plotted by \u003cbr\u003e\nSAS proc lifetest data = leukemia method = act /*actuarial method*/ plots =(\u003cbr\u003e\n\u003cb\u003esurvival\u003c/b\u003e) ...

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Monday, October 10, 2016

Analysis of Survival Data

Analysis of Survival Data
By:"D.R. Cox","David Oakes"
Published on 1984-06-01 by CRC Press

This ebook tells about This monograph contains many ideas on the analysis of survival data to present a comprehensive account of the field. The value of survival analysis is not confined to medical statistics, where the benefit of the analysis of data on such factors as life expectancy and duration of periods of freedom from symptoms of a disease as related to a treatment applied individual histories and so on, is obvious. The techniques also find important applications in industrial life testing and a range of subjects from physics to econometrics. In the eleven chapters of the book the methods and applications of are discussed and illustrated by examples.

This Book was ranked 30 by Google Books for keyword Survival Analysis.

You should Read this ebook Analysis of Survival Data by click the cover ebook below

Analysis of Survival Data
The techniques also find important applications in industrial life testing and a range of subjects from physics to econometrics. In the eleven chapters of the book the methods and applications of are discussed and illustrated by examples.

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Analysis of Failure and Survival Data

Analysis of Failure and Survival Data
By:"Peter J. Smith"
Published on 2002-02-26 by CRC Press

This ebook tells about Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a valuable reference for practitioners. It focuses on the many techniques that appear in popular software packages, including plotting product-limit survival curves, hazard plots, and probability plots in the context of censored data. The author integrates S-Plus and Minitab output throughout the text, along with a variety of real data sets so readers can see how the theory and methods are applied. He also incorporates exercises in each chapter that provide valuable problem-solving experience. In addition to all of this, the book also brings to light the most recent linear regression techniques. Most importantly, it includes a definitive account of the Buckley-James method for censored linear regression, found to be the best performing method when a Cox proportional hazards method is not appropriate. Applying the theories of survival analysis and reliability requires more background and experience than students typically receive at the undergraduate level. Mastering the contents of this book will help prepare students to begin performing research in survival analysis and reliability and provide seasoned practitioners with a deeper understanding of the field.

This Book was ranked 20 by Google Books for keyword Survival Analysis.

You should Read this ebook Analysis of Failure and Survival Data by click the cover ebook below

Analysis of Failure and Survival Data
Mastering the contents of this book will help prepare students to begin performing research in survival analysis and reliability and provide seasoned practitioners with a deeper understanding of the field.

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Sunday, October 9, 2016

Nonparametric and Parametric Survival Analysis of Censored Data with Possible Violation of Method Assumptions

Nonparametric and Parametric Survival Analysis of Censored Data with Possible Violation of Method Assumptions
By:
Published on 2008 by ProQuest

This ebook tells about Results are given for simulations which use nonparametric and parametric estimation methods on censored data. The simulated data sets have right-, left-, or interval-censored time points. Comparisons are done on various types of data to see which survival function estimation methods are more suitable. We consider scenarios where distributional assumptions or censoring type assumptions are violated. Another goal of this research is to examine the effects of these incorrect assumptions.

This Book was ranked 31 by Google Books for keyword Survival Analysis.

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Nonparametric and Parametric Survival Analysis of Censored Data with Possible Violation of Method Assumptions
Results are given for simulations which use nonparametric and parametric estimation methods on censored data. The simulated data sets have right-, left-, or interval-censored time points.

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Thursday, October 6, 2016

Survival Models and Data Analysis

Survival Models and Data Analysis
By:"Regina C. Elandt-Johnson","Norman L. Johnson"
Published on 2014-11-05 by John Wiley & Sons

This ebook tells about Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics.

This Book was ranked 27 by Google Books for keyword Survival Analysis.

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Survival Models and Data Analysis
We assume that readers of this book are already familiar with basic concepts of \u003cbr\u003e\nprobability theory and statistical methods. In this chapter, we briefly review some \u003cbr\u003e\nconcepts and terminology, with special relevance to \u003cb\u003esurvival analysis\u003c/b\u003e.

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