Statistical methods for the analysis of biomedical data /

Statistical methods for the analysis of biomedical data /

Show other versions (1)

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...

Full description

Saved in:
Bibliographic Details
Main Author: Woolson, Robert F.
Other Authors: Clarke, William R.
Format: Electronic eBook
Language:English
Published: New York : Wiley-Interscience, ©2002.
Edition:2nd ed.
Subjects:
Medical statistics.
Biometry.
Data Interpretation, Statistical
Biometry
Online Access:CONNECT
Table of Contents:
  • 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.

Similar Items