Analysis of Repeated Measures

ISBN-13: 9780412318306 / Angielski / Twarda / 1990 / 272 str.

M. J. Crowder;Crowder; Crowder J. Crowder

Opis

This book is an attempt to bring together the methods which exist for analyzing repeated measures problems. Questions about the analysis of repeated measures experiments are amongst the most common kinds of designs arising in statistical consultancy work and the frequency of their occurance is matched by the large number of techniques formulated for analyzing such problems.

Recenzje

"...useful in a consultant statistician's work as well as for a student's statistical computer exercises and can be recommended for both cases."
-Statistics

Spis treści

Acknowledgements -- Preface -- 1 Introduction -- 1.1 Background and objectives -- 1.2 Overview -- 2 Some simple analyses -- 2.1 Comparisons at individual times -- 2.2 Response feature analysis -- 2.3 Individual curve fitting -- 2.4 Further reading -- 3 Univariate analysis of variance -- 3.1 The fundamental model -- 3.2 Anova -- 3.3 Calculation of expected mean-squares -- 3.4 Expected mean-squares by 'synthesis' -- 3.5 Contrasts, compound symmetry and F-tests -- 3.6 Relaxing assumptions: univariate, modified univariate, or multivariate tests? -- 3.7 Further reading -- 4 Multivariate analysis -- 4.1 Models without special covariance structure -- 4.2 Hotelling's T2 -- 4.3 Testing for polynomial trends -- 4.4 Manova -- 4.5 Further reading -- 5 Regression models -- 5.1 Special case -- 5.2 General case -- 5.3 Structured covariance case -- 5.4 Some covariance structures -- 5.5 Further reading -- 6 Two-stage linear models -- 6.1 Random regression coefficients -- 6.2 Estimation and testing -- 6.3 Particular aspects -- 6.4 Examples -- 6.5 Further reading -- 7 Crossover experiments -- 7.1 Simple 2 x 2 designs -- 7.2 A Bayesian approach to 2 x 2 designs -- 7.3 More complex crossover designs for two treatments -- 7.4 Crossover trials with a binary response -- 7.5 Further topics -- 7.6 Further reading -- 8 Categorical data -- 8.1 Introduction -- 8.2 Markov chain models -- 8.3 Log-linear models -- 8.4 Linear model methods for group and time comparisons -- 8.5 Randomization test approaches -- 8.6 Some special cases -- 8.7 Further reading -- 9 Some further topics -- 9.1 Some practical matters -- 9.2 Antedependence -- 9.3 Tracking -- 9.4 Nonlinear growth curves -- 9.5 Non-normal observations -- 10 Computer software and examples -- 10.1 Repeated measures facilities in BMDP, SPSS' and SAS -- 10.2 Example 1 - BMDP program 2V -- 10.3 Example 2 - BMDP program 2V -- 10.4 Example 3 - BMDP program 2V -- 10.5 Example 4 - SPSS' program MANOVA -- 10.6 Example 5 - SPSS' program MANOVA -- 10.7 Example 6- BMDP program 5V -- Bibliography /Supplementary References -- Index.

O autorze

Crowder\, Martin J.; Hand\, David J.