عنوان

The analysis of covariance and alternatives :

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(Number (ISBN

047174896x

(Number (ISBN

1118067452

(Number (ISBN

1118067460

(Number (ISBN

1118067479

(Number (ISBN

9780471748960

(Number (ISBN

9781118067451

(Number (ISBN

9781118067468

(Number (ISBN

9781118067475

Number

dltt

Title Proper

The analysis of covariance and alternatives :

General Material Designation

[Book]

Other Title Information

statistical methods for experiments, quasi-experiments, and single-case studies /

First Statement of Responsibility

Bradley Huitema

Edition Statement

2nd ed

Place of Publication, Distribution, etc.

Hoboken, N.J. :

Name of Publisher, Distributor, etc.

Wiley,

Date of Publication, Distribution, etc.

c2011

Specific Material Designation and Extent of Item

xvi, 661 p. :

Other Physical Details

ill. ;

Dimensions

25 cm

Series Title

Wiley series in probability and statistics

Text of Note

Includes bibliographical references and index

Text of Note

Machine generated contents note: pt. I BASIC EXPERIMENTAL DESIGN AND ANALYSIS -- 1.Review of Basic Statistical Methods -- 1.1.Introduction -- 1.2.Elementary Statistical Inference -- 1.3.Elementary Statistical Decision Theory -- 1.4.Effect Size -- 1.5.Measures of Association -- 1.6.A Practical Alternative to Effect Sizes and Measures of Association That Is Relevant to the Individual: p(YTX > Y Control) -- 1.7.Generalization of Results -- 1.8.Control of Nuisance Variation -- 1.9.Software -- 1.10.Summary -- 2.Review of Simple Correlated Samples Designs and Associated Analyses -- 2.1.Introduction -- 2.2.Two-Level Correlated Samples Designs -- 2.3.Software -- 2.4.Summary -- 3.ANOVA Basics for One-Factor Randomized Group, Randomized Block, and Repeated Measurement Designs -- 3.1.Introduction -- 3.2.One-Factor Randomized Group Design and Analysis -- 3.3.One-Factor Randomized Block Design and Analysis -- 3.4.One-Factor Repeated Measurement Design and Analysis -- 3.5.Summary -- pt. II ESSENTIALS OF REGRESSION ANALYSIS -- 4.Simple Linear Regression -- 4.1.Introduction -- 4.2.Comparison of Simple Regression and ANOVA -- 4.3.Regression Estimation, Inference, and Interpretation -- 4.4.Diagnostic Methods: Is the Model Apt? -- 4.5.Summary -- 5.Essentials of Multiple Linear Regression -- 5.1.Introduction -- 5.2.Multiple Regression: Two-Predictor Case -- 5.3.General Multiple Linear Regression: m Predictors -- 5.4.Alternatives to OLS Regression -- 5.5.Summary -- pt. III ESSENTIALS OF SIMPLE AND MULTIPLE ANCOVA -- 6.One-Factor Analysis of Covariance -- 6.1.Introduction -- 6.2.Analysis of Covariance Model -- 6.3.Computation and Rationale -- 6.4.Adjusted Means -- 6.5.ANCOVA Example 1: Training Effects -- 6.6.Testing Homogeneity of Regression Slopes -- 6.7.ANCOVA Example 2: Sexual Activity Reduces Lifespan -- 6.8.Software -- 6.9.Summary -- 7.Analysis of Covariance Through Linear Regression -- 7.1.Introduction -- 7.2.Simple Analysis of Variance Through Linear Regression -- 7.3.Analysis of Covariance Through Linear Regression -- 7.4.Computation of Adjusted Means -- 7.5.Similarity of ANCOVA to Part and Partial Correlation Methods -- 7.6.Homogeneity of Regression Test Through General Linear Regression -- 7.7.Summary -- 8.Assumptions and Design Considerations -- 8.1.Introduction -- 8.2.Statistical Assumptions -- 8.3.Design and Data Issues Related to the Interpretation of ANCOVA -- 8.4.Summary -- 9.Multiple Comparison Tests and Confidence Intervals -- 9.1.Introduction -- 9.2.Overview of Four Multiple Comparison Procedures -- 9.3.Tests on All Pairwise Comparisons: Fisher-Hayter -- 9.4.All Pairwise Simultaneous Confidence Intervals and Tests: Tukey-Kramer -- 9.5.Planned Pairwise and Complex Comparisons: Bonferroni -- 9.6.Any or All Comparisons: Scheffe -- 9.7.Ignore Multiple Comparison Procedures? -- 9.8.Summary -- 10.Multiple Covariance Analysis -- 10.1.Introduction -- 10.2.Multiple ANCOVA Through Multiple Regression -- 10.3.Testing Homogeneity of Regression Planes -- 10.4.Computation of Adjusted Means -- 10.5.Multiple Comparison Procedures for Multiple ANCOVA -- 10.6.Software: Multiple ANCOVA and Associated Tukey-Kramer Multiple Comparison Tests Using Minitab -- 10.7.Summary -- pt. IV ALTERNATIVES FOR ASSUMPTION DEPARTURES -- 11.Johnson-Neyman and Picked-Points Solutions for Heterogeneous Regression -- 11.1.Introduction -- 11.2.J-N and PPA Methods for Two Groups, One Covariate -- 11.3.A Common Method That Should Be Avoided -- 11.4.Assumptions -- 11.5.Two Groups, Multiple Covariates -- 11.6.Multiple Groups, One Covariate -- 11.7.Any Number of Groups, Any Number of Covariates -- 11.8.Two-Factor Designs -- 11.9.Interpretation Problems -- 11.10.Multiple Dependent Variables -- 11.1.J Nonlinear Johnson-Neyman Analysis -- 11.12.Correlated Samples -- 11.13.Robust Methods -- 11.14.Software -- 11.15.Summary -- 12.Nonlinear ANCOVA -- 12.1.Introduction -- 12.2.Dealing with Nonlinearity -- 12.3.Computation and Example of Fitting Polynomial Models -- 12.4.Summary -- 13.Quasi-ANCOVA: When Treatments Affect Covariates -- 13.1.Introduction -- 13.2.Quasi-ANCOVA Model -- 13.3.Computational Example of Quasi-ANCOVA -- 13.4.Multiple Quasi-ANCOVA -- 13.5.Computational Example of Multiple Quasi-ANCOVA -- 13.6.Summary -- 14.Robust ANCOVA/Robust Picked Points -- 14.1.Introduction -- 14.2.Rank ANCOVA -- 14.3.Robust General Linear Model -- 14.4.Summary -- 15.ANCOVA for Dichotomous Dependent Variables -- 15.1.Introduction -- 15.2.Logistic Regression -- 15.3.Logistic Model -- 15.4.Dichotomous ANCOVA Through Logistic Regression -- 15.5.Homogeneity of Within-Group Logistic Regression -- 15.6.Multiple Covariates -- 15.7.Multiple Comparison Tests -- 15.8.Continuous Versus Forced Dichotomy Results -- 15.9.Summary -- 16.Designs with Ordered Treatments and No Covariates -- 16.1.Introduction -- 16.2.Qualitative, Quantitative, and Ordered Treatment Levels -- 16.3.Parametric Monotone Analysis -- 16.4.Nonparametric Monotone Analysis -- 16.5.Reversed Ordinal Logistic Regression -- 16.6.Summary -- 17.ANCOVA for Ordered Treatments Designs -- 17.1.Introduction -- 17.2.Generalization of the Abelson-Tukey Method to Include One Covariate -- 17.3.Abelson-Tukey: Multiple Covariates -- 17.4.Rank-Based ANCOVA Monotone Method -- 17.5.Rank-Based Monotone Method with Multiple Covariates -- 17.6.Reversed Ordinal Logistic Regression with One or More Covariates -- 17.7.Robust R-Estimate ANCOVA Monotone Method -- 17.8.Summary -- pt. V SINGLE-CASE DESIGNS -- 18.Simple Interrupted Time-Series Designs -- 18.1.Introduction -- 18.2.Logic of the Two-Phase Design -- 18.3.Analysis of the Two-Phase (AB) Design -- 18.4.Two Strategies for Time-Series Regression Intervention Analysis -- 18.5.Details of Strategy II -- 18.6.Effect Sizes -- 18.7.Sample Size Recommendations -- 18.8.When the Model Is Too Simple -- 18.9.Summary -- 19.Examples of Single-Case AB Analysis -- 19.1.Introduction -- 19.2.Example I: Cancer Death Rates in the United Kingdom -- 19.3.Example II: Functional Activity -- 19.4.Example III: Cereal Sales -- 19.5.Example IV: Paracetamol Poisoning -- 19.6.Summary -- 20.Analysis of Single-Case Reversal Designs -- 20.1.Introduction -- 20.2.Statistical Analysis of Reversal Designs -- 20.3.Computational Example: Pharmacy Wait Time -- 20.4.Summary -- 21.Analysis of Multiple-Baseline Designs -- 21.1.Introduction -- 21.2.Case I Analysis: Independence of Errors Within and Between Series -- 21.3.Case II Analysis: Autocorrelated Errors Within Series, Independence Between Series -- 21.4.Case III Analysis: Independent Errors Within Series, Cross-Correlation Between Series -- 21.5.Intervention Versus Control Series Design -- 21.6.Summary -- pt. VI ANCOVA EXTENSIONS -- 22.Power Estimation -- 22.1.Introduction -- 22.2.Power Estimation for One-Factor ANOVA -- 22.3.Power Estimation for ANCOVA -- 22.4.Power Estimation for Standardized Effect Sizes -- 22.5.Summary -- 23.ANCOVA for Randomized-Block Designs -- 23.1.Introduction -- 23.2.Conventional Design and Analysis Example -- 23.3.Combined Analysis (ANCOVA and Blocking Factor) -- 23.4.Summary -- 24.Two-Factor Designs -- 24.1.Introduction -- 24.2.ANCOVA Model and Computation for Two-Factor Designs -- 24.3.Multiple Comparison Tests for Adjusted Marginal Means -- 24.4.Two-Factor ANOVA and ANCOVA for Repeated-Measurement Designs -- 24.5.Summary -- 25.Randomized Pretest-Posttest Designs -- 25.1.Introduction -- 25.2.Comparison of Three ANOVA Methods -- 25.3.ANCOVA for Pretest-Posttest Designs -- 25.4.Summary -- 26.Multiple Dependent Variables -- 26.1.Introduction -- 26.2.Uncorrected Univariate ANCOVA -- 26.3.Bonferroni Method -- 26.4.Multivariate Analysis of Covariance (MANCOVA) -- 26.5.MANCOVA Through Multiple Regression Analysis: Two Groups Only -- 26.6.Issues Associated with Bonferroni F and MANCOVA -- 26.7.Alternatives to Bonferroni and MANCOVA -- 26.8.Example Analyses Using Minitab -- 26.9.Summary -- pt.

Text of Note

VII QUASI-EXPERIMENTS AND MISCONCEPTIONS -- 27.Nonrandomized Studies: Measurement Error Correction -- 27.1.Introduction -- 27.2.Effects of Measurement Error: Randomized-Group Case -- 27.3.Effects of Measurement Error in Exposure and Covariates: Nonrandomized Design -- 27.4.Measurement Error Correction Ideas -- 27.5.Summary -- 28.Design and Analysis of Observational Studies -- 28.1.Introduction -- 28.2.Design of Nonequivalent Group/Observational Studies -- 28.3.Final (Outcome) Analysis -- 28.4.Propensity Design Advantages -- 28.5.Evaluations of ANCOVA Versus Propensity-Based Approaches -- 28.6.Adequacy of Observational Studies -- 28.7.Summary -- 29.Common ANCOVA Misconceptions -- 29.1.Introduction -- 29.2.SSAT Versus SSINTUITIVE at' Single Covariate Case -- 29.3.SSAT Versus SSINTUITIVE at: Multiple Covariate Case -- 29.4.ANCOVA Versus ANOVA on Residuals -- 29.5.ANCOVA Versus Y/X Ratio -- 29.6.Other Common Misconceptions -- 29.7.Summary -- 30.Uncontrolled Clinical Trials -- 30.1.Introduction -- 30.2.Internal Validity Threats Other Than Regression -- 30.3.Problems with Conventional Analyses -- 30.4.Controlling Regression Effects -- 30.5.Naranjo-Mckean Dual Effects Model -- 30.6.Summary

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Analysis of covariance

Class number

Book number

Huitema, Bradley E.,1938-

Date of Transaction

20130603232330.0

Electronic name

[Book]

Y