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-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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variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling;
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variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling;
Vergelijkbare producten zoals Joint Modeling of Longitudinal and Time-to-Event Data
connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear;
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short courses on longitudinal and incomplete data at the Joint Statistical Meetings of 2002 and 2004.;
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Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models;
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including frailty models, cure models, competing risk models and joint models for a longitudinal and a survival outcome Uses consistent;
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, cure models, competing risk models and joint models for a longitudinal and a survival outcome Uses consistent notation throughout the book for;
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response types, such as ordinal, nominal, count, and survival data. Joint modeling of mixed responses, such as survival and longitudinal data;
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, Antedependence Models for Longitudinal Data offers a convenient, systematic way to learn about antedependence models. Illustrated with numerous examples;
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and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating;
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and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating;
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Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical;
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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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This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate;
Vergelijkbare producten zoals Longitudinal Multivariate Psychology
This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate;
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-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention;
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-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention;
Vergelijkbare producten zoals Longitudinal Analysis
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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When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to;
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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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repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and;
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Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric;
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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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Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;
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Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;
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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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