ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
39
views
0
references
Top references
cited by
221
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
3,521
similar
All similar
Record
: found
Abstract
: not found
Book
: not found
Experimental Design and Data Analysis for Biologists
monograph
Author(s):
Gerry P. Quinn
,
Michael J. Keough
Publication date
(Online):
2009
Publisher:
Cambridge University Press
Read this book at
Publisher
Buy book
Review
Review book
Invite someone to review
Bookmark
Cite as...
There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Core Readings in Statistical Mediation Analysis
Author and book information
Book
ISBN:
9780511806384
Publication date (Print):
2002
Publication date (Online):
2009
DOI:
10.1017/CBO9780511806384
SO-VID:
640747e1-2b15-4c93-96b4-a5325bc5e33d
History
Data availability:
Comments
Comment on this book
Sign in to comment
Book chapters
pp. xv
Preface
pp. 1
Introduction
pp. 14
Estimation
pp. 32
Hypothesis testing
pp. 58
Graphical exploration of data
pp. 72
Correlation and regression
pp. 111
Multiple and complex regression
pp. 155
Design and power analysis
pp. 173
Comparing groups or treatments – analysis of variance
pp. 208
Multifactor analysis of variance
pp. 262
Randomized blocks and simple repeated measures: unreplicated two factor designs
pp. 301
Split-plot and repeated measures designs: partly nested analyses of variance
pp. 339
Analyses of covariance
pp. 359
Generalized linear models and logistic regression
pp. 380
Analyzing frequencies
pp. 401
Introduction to multivariate analyses
pp. 425
Multivariate analysis of variance and discriminant analysis
pp. 443
Principal components and correspondence analysis
pp. 473
Multidimensional scaling and cluster analysis
pp. 494
Presentation of results
pp. 511
References
Similar content
3,521
Three dimensional reconstruction by electron microscopy in the life sciences: An introduction for cell and tissue biologists.
Authors:
Kildare Miranda
,
Wendell Girard-Dias
,
Marcia Attias
…
How RecBCD enzyme and Chi promote DNA break repair and recombination: a molecular biologist's view.
Authors:
J. G. Smith
From Bioinspired to Bioinformed: Benefits of Greater Engagement From Biologists
Authors:
Leslie Ng
,
Mark Elgar
,
Devi M. Stuart-Fox
See all similar
Cited by
1,481
Impact of invasive plants on the species richness, diversity and composition of invaded communities
Authors:
Martin Hejda
,
Petr Pyšek
,
Vojtěch Jarošík
A protocol for conducting and presenting results of regression-type analyses
Authors:
Elena N. Ieno
,
Alain Zuur
,
Robert Freckleton
Time for some a priori thinking about post hoc testing
Authors:
Guy Beauchamp
,
Graeme Ruxton
See all cited by