Kooperativer Bibliotheksverbund

UID:

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 -- , 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 -- , Probability Distributions and Random Variables -- , Further Aspects of Probability -- , Populations, Samples, and Random Samples -- , Parameters and Statistics -- , Permutations and Combinations: Factorial Notation -- , Some Discrete Probability Distributions -- , Normal Probability Distribution -- , Sampling Distributions: Probability Distributions Generated by Random Sampling -- , 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

UID:

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 -- , 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 -- , Probability Distributions and Random Variables -- , Further Aspects of Probability -- , Populations, Samples, and Random Samples -- , Parameters and Statistics -- , Permutations and Combinations: Factorial Notation -- , Some Discrete Probability Distributions -- , Normal Probability Distribution -- , Sampling Distributions: Probability Distributions Generated by Random Sampling -- , 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

UID:

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 -- , 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 -- , Probability Distributions and Random Variables -- , Further Aspects of Probability -- , Populations, Samples, and Random Samples -- , Parameters and Statistics -- , Permutations and Combinations: Factorial Notation -- , Some Discrete Probability Distributions -- , Normal Probability Distribution -- , Sampling Distributions: Probability Distributions Generated by Random Sampling -- , 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