UID:
edocfu_9959327409202883
Format:
1 online resource (xxv, 677 pages) :
,
illustrations
Edition:
2nd ed.
ISBN:
9781118033050
,
1118033051
,
9781118031308
,
111803130X
Content:
The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.* Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand.
Note:
Front Matter -- Introduction -- Descriptive Statistics -- Basic Probability Concepts -- Further Aspects of Probability -- Confidence Intervals and Hypothesis Testing: General Considerations and Applications -- Comparison of Two Groups: t-Tests and Rank Tests -- Comparison of Two Groups: Chi-Square and Related Procedures -- Tests of Independence and Measures of Association for Two Random Variables -- Least-Squares Regression Methods: Predicting One Variable from Another -- Comparing More than Two Groups of Observations: Analysis of Variance for Comparing Groups -- Comparing More than Two Groups of Observations: Rank Analysis of Variance for Group Comparisons -- Comparing More than Two Groups of Observations: Chi-Square and Related Procedures -- Special Topics in Analysis of Epidemiologic and Clinical Data: Studying Association between a Disease and a Characteristic -- Estimation and Comparison of Survival Curves -- Multiple Linear Regression Methods: Predicting One Variable from Two or More Other Variables -- Appendix -- Topic Index -- Wiley Series in Probability and Statistics.
,
A Designed Experiment --
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Descriptive Statistics --
,
Classification of Variables --
,
Representing Data with Notation --
,
Central Tendency of a Set of Data --
,
Variability in a Set of Data --
,
Pictorial Data Representation --
,
Sample Description with Grouped Data --
,
Tabulation and Graphing of Grouped Data --
,
Summary Statistics for Grouped Data --
,
Using SAS for Computations --
,
Bayes' Theorem: A Useful Result from Probability Theory --
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Probability Distributions and Random Variables --
,
Further Aspects of Probability --
,
Populations, Samples, and Random Samples --
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Parameters and Statistics --
,
Permutations and Combinations: Factorial Notation --
,
Some Discrete Probability Distributions --
,
Normal Probability Distribution --
,
Sampling Distributions: Probability Distributions Generated by Random Sampling --
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The t, x[superscript 2], and F Probability Distributions --
,
Confidence Intervals and Hypothesis Testing: General Considerations and Applications --
,
Estimation of Population Characteristics: Point and Interval Estimation --
,
Testing Statistical Hypotheses --
,
Comparison of Two Groups: t-Tests and Rank Tests --
,
Use of t-Tests for Group Comparisons --
,
Use of Rank Tests for Group Comparisons --
,
Comparison of Two Groups: Chi-Square and Related Procedures --
,
Case of Two Response Categories --
,
Case of More than Two Response Categories --
,
Tests of Independence and Measures of Association for Two Random Variables --
,
Procedures for Nominal, Ordinal, Interval, or Ratio Scales: Chi-Square Test of Independence and Measures of Association.
Additional Edition:
Print version: Woolson, Robert F. Statistical methods for the analysis of biomedical data. New York : Wiley-Interscience, ©2002 ISBN 047139405X
Language:
English
Keywords:
Electronic books
DOI:
10.1002/9781118033050
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118033050
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