A01=David J. Hand
A01=Martin J. Crowder
Additional Error Variance
advanced repeated measures analysis
Antedependence Structure
AUC Analysis
Author_David J. Hand
Author_Martin J. Crowder
categorical outcome modeling
Category=PBT
Compound Symmetry
crossover trial statistics
Cumulative Treatment Effect
Data Sets
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Huynh Feldt Estimate
Individual AUCs
Individual Response Profile
longitudinal data analysis
MANOVA techniques
Marginal Homogeneity
Missing Values
mixed effects models
Multiple Treatment Designs
Orthonormal Contrasts
PA Model
Period Main Effect
Random Regression Coefficients
Randomization Test Approach
Regression Modelling Point
Response Feature Analysis
Sample Covariance Matrix
Sphericity Assumption
statistical consulting methods
Subject Experiences Treatment
Variance Ratio Test
Variance Ratio Test Statistic
Wider Statistical Sense
Product details
- ISBN 9780367450847
- Weight: 322g
- Dimensions: 138 x 216mm
- Publication Date: 30 Sep 2020
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions. There is a multitude of techniques available for analysing such data and in the past this has led to some confusion. This book describes the whole spectrum of approaches, beginning with very simple and crude methods, working through intermediate techniques commonly used by consultant statisticians, and concluding with more recent and advanced methods. Those covered include multiple testing, response feature analysis, univariate analysis of variance approaches, multivariate analysis of variance approaches, regression models, two-stage line models, approaches to categorical data and techniques for analysing crossover designs. The theory is illustrated with examples, using real data brought to the authors during their work as statistical consultants.
Crowder, Martin J. | Hand, David J.
