Statistical methods for the analysis of biomedical data /
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.* O...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York :
Wiley-Interscience,
©2002.
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| Edition: | 2nd ed. |
| Subjects: | |
| Online Access: | CONNECT |
MARC
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| 100 | 1 | |a Woolson, Robert F. | |
| 245 | 1 | 0 | |a Statistical methods for the analysis of biomedical data / |c Robert F. Woolson, William R. Clarke. |
| 250 | |a 2nd ed. | ||
| 260 | |a New York : |b Wiley-Interscience, |c ©2002. | ||
| 300 | |a 1 online resource (xxv, 677 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 505 | 0 | |a 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. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |t A Designed Experiment -- |t Descriptive Statistics -- |t Classification of Variables -- |t Representing Data with Notation -- |t Central Tendency of a Set of Data -- |t Variability in a Set of Data -- |t Pictorial Data Representation -- |t Sample Description with Grouped Data -- |t Tabulation and Graphing of Grouped Data -- |t Summary Statistics for Grouped Data -- |t Using SAS for Computations -- |t Bayes' Theorem: A Useful Result from Probability Theory -- |t Probability Distributions and Random Variables -- |t Further Aspects of Probability -- |t Populations, Samples, and Random Samples -- |t Parameters and Statistics -- |t Permutations and Combinations: Factorial Notation -- |t Some Discrete Probability Distributions -- |t Normal Probability Distribution -- |t Sampling Distributions: Probability Distributions Generated by Random Sampling -- |t The t, x[superscript 2], and F Probability Distributions -- |t Confidence Intervals and Hypothesis Testing: General Considerations and Applications -- |t Estimation of Population Characteristics: Point and Interval Estimation -- |t Testing Statistical Hypotheses -- |t Comparison of Two Groups: t-Tests and Rank Tests -- |t Use of t-Tests for Group Comparisons -- |t Use of Rank Tests for Group Comparisons -- |t Comparison of Two Groups: Chi-Square and Related Procedures -- |t Case of Two Response Categories -- |t Case of More than Two Response Categories -- |t Tests of Independence and Measures of Association for Two Random Variables -- |t Procedures for Nominal, Ordinal, Interval, or Ratio Scales: Chi-Square Test of Independence and Measures of Association. |
| 588 | 0 | |a Print version record. | |
| 520 | |a 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. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Medical statistics. | |
| 650 | 0 | |a Biometry. | |
| 650 | 2 | |a Data Interpretation, Statistical | |
| 650 | 2 | |a Biometry | |
| 700 | 1 | |a Clarke, William R. |q (William Radue) | |
| 730 | 0 | |a WILEYEBA | |
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