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Bayesian Methods for Repeated Measures

Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many;

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Bayesian Methods for Repeated Measures

Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many;

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Repeated Measures Design for Empirical Researchers

for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using;

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Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials

of generalized linear mixed models and its related models in the statistical design and analysis of repeated measures from randomized controlled trials;

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Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials

of generalized linear mixed models and its related models in the statistical design and analysis of repeated measures from randomized controlled trials;

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Multivariate Analysis of Variance and Repeated Measures

measured on each subject, repeated measures analyses, covariates, choice of text statistic and simultaneous test procedures.;

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Statistical Methodology in the Pharmaceutical Sciences

: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data;

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Statistical Methodology in the Pharmaceutical Sciences

: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data;

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Analysis of Repeated Measures

Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions;

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Analysis of Repeated Measures

Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions;

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Modeling Intraindividual Variability With Repeated Measures Data

features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to;

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Modeling Intraindividual Variability With Repeated Measures Data

features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to;

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Analysis of Messy Data Volume 1

Several modern suggestions for multiple comparison procedures Additional examples of split-plot designs and repeated measures designs The use;

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Growth Curves

This work describes several statistical techniques for studying repeated measures data, presenting growth curve methods applicable to;

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ANOVA

By focusing on situations in which analysis of variance (ANOVA) involves the repeated measurement of separate groups of individuals, Girden;

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Statistical Methods in Psychiatry and Related Fields

approaches for the analysis of correlated data: mixed models for continuous and categorical outcomes, nonparametric methods for repeated measures and;

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Statistical Methods in Psychiatry and Related Fields

for the analysis of repeated measures data. Ralitza Gueorguieva is a Senior Research Scientist at the Department of Biostatistics, Yale;

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Dynamical Biostatistical Models

for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most;

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Longitudinal Data Analysis

featured within the text include: Repeated measures analysis of variance Multivariate analysis of variance for repeated measures Random-effects;

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Practical Longitudinal Data Analysis

This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models;

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Markov Models with Covariate Dependence for Repeated Measures

During the recent past, there has been a great deal of interest in solving problems of repeated measures data employing the Markov chain;

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Statistical Methods for the Analysis of Repeated Measurements

A comprehensive introduction to a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both;

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Analysis Of Longitudinal Data

important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second;

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Multilevel Modeling

measures analysis, nonlinear modeling, outlier detection, and meta analysis. This volume will be beneficial for researchers with advanced;

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Multilevel Modeling

measures analysis, nonlinear modeling, outlier detection, and meta analysis. This volume will be beneficial for researchers with advanced;

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Multivariate Data Reduction and Discrimination with SAS Software

explanations of appropriate SAS procedures. The book covers a variety of topics including MV analysis of experimental data and repeated measures data;

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Methods and Applications of Longitudinal Data Analysis

longitudinal data and avoid the pitfalls associated with incorrect selectionIdentifies the limitations of classical repeated measures models;

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