大葉大學圖書館 |

Language: English

Back

Cause and correlation in biology :a ...

Shipley, Bill, (1960-)

Cause and correlation in biology :a user's guide to path analysis, structural equations, and causal inference /

Record Type:	Language materials, printed : Monograph/item
[NT 15000414]:	570/.1/5195
Title/Author:	Cause and correlation in biology : : a user's guide to path analysis, structural equations, and causal inference // Bill Shipley.
remainder title:	Cause & Correlation in Biology
Author:	Shipley, Bill,
Description:	1 online resource (xii, 317 pages) : : digital, PDF file(s).
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Biometry.
ISBN:	9780511605949 (ebook)
[NT 15000229]:	This book goes beyond the truism that 'correlation does not imply causation' and explores the logical and methodological relationships between correlation and causation. It presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations in which it is not possible to conduct randomised or experimentally controlled experiments. Many of these methods are quite new and most are generally unknown to biologists. In addition to describing how to conduct these statistical tests, the book also puts the methods into historical context and explains when they can and cannot justifiably be used to test or discover causal claims. Written in a conversational style that minimises technical jargon, the book is aimed at practising biologists and advanced students, and assumes only a very basic knowledge of introductory statistics.
Online resource:	http://dx.doi.org/10.1017/CBO9780511605949

Cause and correlation in biology :a user's guide to path analysis, structural equations, and causal inference /
Shipley, Bill,1960-

Cause and correlation in biology :a user's guide to path analysis, structural equations, and causal inference /Cause & Correlation in BiologyBill Shipley. - 1 online resource (xii, 317 pages) :digital, PDF file(s).

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

This book goes beyond the truism that 'correlation does not imply causation' and explores the logical and methodological relationships between correlation and causation. It presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations in which it is not possible to conduct randomised or experimentally controlled experiments. Many of these methods are quite new and most are generally unknown to biologists. In addition to describing how to conduct these statistical tests, the book also puts the methods into historical context and explains when they can and cannot justifiably be used to test or discover causal claims. Written in a conversational style that minimises technical jargon, the book is aimed at practising biologists and advanced students, and assumes only a very basic knowledge of introductory statistics.

ISBN: 9780511605949 (ebook)Subjects--Topical Terms:

337787
Biometry.

LC Class. No.: QH323.5 / .S477 2000

Dewey Class. No.: 570/.1/5195

Cause and correlation in biology :a user's guide to path analysis, structural equations, and causal inference /
LDR:02013nam a22003018i 4500 001 448898
003 UkCbUP
005 20151005020622.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 161201s2000||||enk o ||1 0|eng|d
020 $a 9780511605949 (ebook)
020 $z 9780521791533 (hardback)
020 $z 9780521529211 (paperback)
035 $a CR9780511605949
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a QH323.5 $b .S477 2000
082 0 0 $a 570/.1/5195 $2 21
100 1 $a Shipley, Bill, $d 1960- $e author. $3 643997
245 1 0 $a Cause and correlation in biology : $b a user's guide to path analysis, structural equations, and causal inference / $c Bill Shipley.
246 3 $a Cause & Correlation in Biology
264 1 $a Cambridge : $b Cambridge University Press, $c 2000.
300 $a 1 online resource (xii, 317 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
500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a This book goes beyond the truism that 'correlation does not imply causation' and explores the logical and methodological relationships between correlation and causation. It presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations in which it is not possible to conduct randomised or experimentally controlled experiments. Many of these methods are quite new and most are generally unknown to biologists. In addition to describing how to conduct these statistical tests, the book also puts the methods into historical context and explains when they can and cannot justifiably be used to test or discover causal claims. Written in a conversational style that minimises technical jargon, the book is aimed at practising biologists and advanced students, and assumes only a very basic knowledge of introductory statistics.
650 0 $a Biometry. $3 337787
776 0 8 $i Print version: $z 9780521791533
856 4 0 $u http://dx.doi.org/10.1017/CBO9780511605949

based on 0 review(s)

Multimedia

Multimedia file
http://dx.doi.org/10.1017/CBO9780511605949

Reviews

Add a review and share your thoughts with other readers

Export

pickup library