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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 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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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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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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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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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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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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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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Intensive Longitudinal Methods

longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for;

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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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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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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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Joint Models of Longitudinal a

-to-recurrence. Joint Models for Longitudinal and Time-to-Event Data: With Applications in R provides a full treatment of random effects joint;

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Longitudinal Multivariate Psychology

time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social;

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Longitudinal Multivariate Psychology

time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social;

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Applied Longitudinal Analysis

Praise for the First Edition ...[this book] should be on the shelf of everyone interested in ...longitudinal data analysis. Journal;

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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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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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Longitudinal Data Analysis

available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues;

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Latent Markov Models for Longitudinal Data

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;

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Latent Markov Models for Longitudinal Data

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;

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Multilevel Modeling

Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by;

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