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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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Applied Longitudinal Analysis

of the American Statistical Association Features newly developed topics and applications of the analysis of longitudinal data Applied;

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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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Longitudinal Data Analysis

Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis;

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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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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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Advances In Multivariate Statistical Methods

include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys;

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Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

of longitudinal categorical statistical methods. Each chapter provides basic methodology, helpful applications, examples using data from all fields of the;

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Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

of longitudinal categorical statistical methods. Each chapter provides basic methodology, helpful applications, examples using data from all fields of the;

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Handbook of Regression Analysis With Applications in R

of more advanced topics including time-to-event survival data and longitudinal and clustered data. The book further pays particular;

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Quantitative Longitudinal Data Analysis

approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative;

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Joint Modeling of Longitudinal and Time-to-Event Data

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non;

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Joint Modeling of Longitudinal and Time-to-Event Data

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non;

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Structural Analysis in the Social Sciences

, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for;

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Structural Analysis in the Social Sciences

, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for;

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Bayesian Disease Mapping

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the;

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Bayesian Disease Mapping

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the;

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Nonparametric Models for Longitudinal Data

models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical;

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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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Modern Methods for Business Research

analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data;

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Sequence Analysis and Related Approaches

longitudinal data such as event history analysis, Markov modelling, and sequence network. The methodological contributions in this book include among;

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Modern Methods for Business Research

analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data;

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Longitudinal Data Analysis

advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal;

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Longitudinal Multivariate Psychology

longitudinal data analysis, as well as understanding the history and development of such techniques.;

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Longitudinal Multivariate Psychology

longitudinal data analysis, as well as understanding the history and development of such techniques.;

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Methodology of Longitudinal Surveys

analysis of longitudinal surveys.* Reviews recent developments in the field, including the use of dependent interviewing and mixed mode data;

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Nonlinear Models for Repeated Measurement Data

Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies;

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