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Statistical Analysis of Contingency Tables

Morten Fagerland | Stian Lydersen | Petter Laake
€127.99
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A01=Morten Fagerland
A01=Petter Laake
A01=Stian Lydersen
actual
Actual Significance Level
advanced contingency table analysis applications
Age Group_Uncategorized
Age Group_Uncategorized
Agresti Coull Interval
Author_Morten Fagerland
Author_Petter Laake
Author_Stian Lydersen
automatic-update
Average Coverage Probability
categorical data analysis
Category1=Non-Fiction
Category=JMB
Category=PBT
Cochran Armitage Test
Cochran Mantel Haenszel Test
confidence
COP=United States
Coverage Probabilities
Delivery_Delivery within 10-20 working days
diagnostic accuracy assessment
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Exact Binomial Test
Exact Conditional Test
Exact Unconditional Test
General Norwegian Population
graduate statistics textbook
hypothesis
inter-rater reliability statistics
interval
Language_English
level
likelihood
Likelihood Ratio Interval
Likelihood Ratio Test
Marginal Homogeneity
McNemar Bowker Test
missing data techniques
Morten W. Fagerland
multinomial distribution methods
Multinomial Parameters
Nominal Significance Level
PA=Available
Pearson Chi Squared
Pearson Chi Squared Test
Petter Laake
Price_€100 and above
Proportional Odds Model
PS=Active
ratio
Sample Size Calculations
Score Interval
significance
Simultaneous Confidence Intervals
softlaunch
Stian Lydersen
Ump Unbiased Test
wald
Wald Interval
Wilson Score Interval

Product details

  • ISBN 9781466588172
  • Weight: 1118g
  • Dimensions: 156 x 234mm
  • Publication Date: 12 Jul 2017
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Description

Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables, paired cxc tables, and stratified tables. For each type of table, key concepts are introduced, and a wide range of intervals and tests, including recent and unpublished methods and developments, are presented and evaluated. Topics such as diagnostic accuracy, inter-rater reliability, and missing data are also covered. The presentation is concise and easily accessible for readers with diverse professional backgrounds, with the mathematical details kept to a minimum.

For more information, including a sample chapter and software, please visit the authors' website.
About Morten Fagerland | Petter Laake | Stian Lydersen
Morten W. Fagerland, Ph.D. is Head of the Section for Biostatistics, Epidemiology, and Health Economics at Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Norway.　 Stian Lydersen, Ph.D. is a Professor of Medical Statistics at Regional Centre for Child and Youth Mental Health and Child Welfare, Norwegian University of Science and Technology, Trondheim, Norway. Petter Laake, Ph.D. is a Professor of Medical Statistics at the Department of Biostatistics at Oslo Centre for Biostatistics and Epidemiology, University of Oslo, Norway.

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