國立虎尾科技大學 |

Survival analysis for epidemiologic and medical research : = a practical guide /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Survival analysis for epidemiologic and medical research :/ Steve Selvin.
Reminder of title:	a practical guide /
remainder title:	Survival Analysis for Epidemiologic & Medical Research
Author:	Selvin, S.,
Description:	1 online resource (xiii, 282 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Medicine - Research -
Online resource:	https://doi.org/10.1017/CBO9780511619809
ISBN:	9780511619809 (ebook)

Survival analysis for epidemiologic and medical research : = a practical guide /
Selvin, S.,

Survival analysis for epidemiologic and medical research :a practical guide /Survival Analysis for Epidemiologic & Medical ResearchSteve Selvin. - 1 online resource (xiii, 282 pages) :digital, PDF file(s). - Practical guides to biostatistics and epidemiology. - Practical guides to biostatistics and epidemiology..

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

This practical guide to survival data and its analysis for readers with a minimal background in statistics shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general. Techniques such as statistical tests, transformations, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to understanding the analysis of many kinds of data. Similarly, discussions of such statistical concepts as bias, confounding, independence, and interaction are presented in the context of survival analysis and also are basic components of a broad range of applications. These topics make up essentially a 'second-year', one-semester biostatistics course in survival analysis concepts and techniques for non-statisticians.

ISBN: 9780511619809 (ebook)Subjects--Topical Terms:

672001
Medicine
--Research

LC Class. No.: R853.S7 / S453 2008

Dewey Class. No.: 610.72/7

Survival analysis for epidemiologic and medical research : = a practical guide /
LDR:02228nam a2200313 i 4500 001 1122273
003 UkCbUP
005 20151005020622.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 240926s2008||||enk o ||1 0|eng|d
020 $a 9780511619809 (ebook)
020 $z 9780521895194 (hardback)
020 $z 9780521719377 (paperback)
035 $a CR9780511619809
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a R853.S7 $b S453 2008
082 0 0 $a 610.72/7 $2 22
100 1 $a Selvin, S., $e author. $3 1438354
245 1 0 $a Survival analysis for epidemiologic and medical research : $b a practical guide / $c Steve Selvin.
246 3 $a Survival Analysis for Epidemiologic & Medical Research
264 1 $a Cambridge : $b Cambridge University Press, $c 2008.
300 $a 1 online resource (xiii, 282 pages) : $b digital, PDF file(s).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
490 1 $a Practical guides to biostatistics and epidemiology
500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a This practical guide to survival data and its analysis for readers with a minimal background in statistics shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general. Techniques such as statistical tests, transformations, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to understanding the analysis of many kinds of data. Similarly, discussions of such statistical concepts as bias, confounding, independence, and interaction are presented in the context of survival analysis and also are basic components of a broad range of applications. These topics make up essentially a 'second-year', one-semester biostatistics course in survival analysis concepts and techniques for non-statisticians.
650 0 $a Medicine $x Research $x Statistical methods. $3 672001
650 0 $a Epidemiology $x Research $x Statistical methods. $3 802383
650 0 $a Survival analysis (Biometry) $3 528451
776 0 8 $i Print version: $z 9780521895194
830 0 $a Practical guides to biostatistics and epidemiology. $3 1438355
856 4 0 $u https://doi.org/10.1017/CBO9780511619809