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Analysis Of Longitudinal Data

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;

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Analysis Of Longitudinal Data 2nd

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;

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Models For Discrete Longitudinal Data

The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed;

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Applied Longitudinal Data Analysis

fascinated empirical researchers for generations, and to do it well, they must have longitudinal data. Applied Longitudinal Data Analysis is a;

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Methods and Applications of Longitudinal Data Analysis

Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical;

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Nonparametric Regression Methods For Longitudinal Data Analysis

nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling;

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Antedependence Models for Longitudinal Data

, Antedependence Models for Longitudinal Data offers a convenient, systematic way to learn about antedependence models. Illustrated with numerous examples;

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Models for Intensive Longitudinal Data

A new class of longitudinal data has emerged with the use of technological devices for scientific data collection. This class of data;

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Longitudinal Structural Equation Modeling

This comprehensive resource reviews structural equation modeling (SEM) strategies for longitudinal data to help readers see which modeling;

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Longitudinal Structural Equation Modeling

This comprehensive resource reviews structural equation modeling (SEM) strategies for longitudinal data to help readers see which modeling;

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Measurement Error in Longitudinal Data

Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a;

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Nonparametric Models for Longitudinal Data

Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric;

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Applied Categorical and Count Data Analysis

that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and;

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Longitudinal Analysis

the models to their own data The book opens with the building blocks of longitudinal analysis-general ideas, the general linear model for;

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Longitudinal Analysis

for longitudinal data Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers;

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Missing Data in Longitudinal Studies

Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for;

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Advances and Challenges in Parametric and Semi-Parametric Analysis for Correlated Data: Proceedings of the 2015 International Symposium in Statistics

-parametric setups. Finally Part IV concludes with a paper on the inferences for longitudinal data subject to a challenge of important covariates;

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Statistical Methods for Categorical Data Analysis

This book provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social;

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Generalized Linear and Nonlinear Models for Correlated Data

Edward F. Vonesh's "Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS" is devoted to the;

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Statistical Methods for Drug Safety

selection bias in the analysis of large-scale longitudinal observational data. Choose the Right Statistical Approach for Analyzing Your Drug Safety;

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Statistical Methods for Drug Safety

selection bias in the analysis of large-scale longitudinal observational data. Choose the Right Statistical Approach for Analyzing Your Drug;

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Mixed Effects Models for Complex Data

and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating;

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Mixed Effects Models for Complex Data

and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating;

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Longitudinal Data Analysis Using Structural Equation Models

When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to;

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Longitudinal Structural Equation Modeling with Mplus

- and multiple-indicator data. The book discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data;

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Linear Mixed Models for Longitudinal Data

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this;

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Longitudinal Data Analysis

Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight;

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