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Semiparametric Structural Equation Models for Causal Discovery

This is the first book to provide a comprehensive introduction to a new semiparametric causal discovery approach known as LiNGAM, with the;

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Linear Causal Modeling with Structural Equations

covariances of variables in a structural equation model, and introduces matrix equations for the general structural equation model. The text then;

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Using LISREL for Structural Equation Modeling

This highly readable introduction to structural equation modeling is designed for researchers and graduate students in the social sciences;

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Using LISREL for Structural Equation Modeling

This highly readable introduction to structural equation modeling is designed for researchers and graduate students in the social sciences;

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Recent Developments on Structural Equation Models

After Karl Joereskog's first presentation in 1970, Structural Equation Modelling or SEM has become a main statistical tool in many fields;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

functional structural equation models, mixed structural equation models, causal inference with confounders, integer programming, deep learning and;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

causal inference and causal networks, dynamic causal networks, multivariate and functional structural equation models, mixed structural equation;

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Causal Analysis in Biomedicine and Epidemiology

method of model parametritization. Illustrates structural equations and graphical elements for complex causal systems.;

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Causal Analysis in Biomedicine and Epidemiology

method of model parametritization. Illustrates structural equations and graphical elements for complex causal systems.;

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A Logical Theory of Causality

supposition that causal reasoning is not a competitor of logical reasoning but its complement for situations lacking logically sufficient data or;

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Using Mplus for Structural Equation Modeling: A Researcher's Guide

of structural equation models implemented in the Mplus framework.;

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Structural Equation Modeling

, evaluation, and modification. Chapters cover: Confirmatory Factor Analysis (CFA); Structural Equation Models (SEM); SEM for Longitudinal Data; Multi;

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Discovering Structural Equation Modeling Using Stata

Builder. This graphical interface for structural equation modeling allows you to draw publication-quality path diagrams and fit the models without;

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Principles And Practice Of Structural Equation Modelling

This popular text provides an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM;

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Longitudinal Structural Equation Modelin

Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any;

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Multilevel Structural Equation Modeling

Multilevel Structural Equation Modeling serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for;

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Structural Equation Modeling with lavaan

This book presents an introduction to structural equation modeling (SEM) and facilitates the access of students and researchers in various;

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Principles and Practice of Structural Equation Modeling

Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation;

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Structural Equation Modelling

Structural Equation Modeling provides a conceptual and mathematical understanding of structural equation modelling, helping readers across;

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Structural Equation Modelling

Structural Equation Modeling provides a conceptual and mathematical understanding of structural equation modelling, helping readers across;

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Semiparametric Theory and Missing Data

This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and;

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Longitudinal Data Analysis Using Structural Equation Models

answer. In this book, McArdle and Nesselroade identify five basic purposes of longitudinal structural equation modeling. For each purpose;

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Applied Structural Equation Modelling for Researchers and Practitioners

During the last two decades, structural equation modelling (SEM) has emerged as a powerful multivariate data analysis tool in social;

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A First Course in Structural Equation Modeling

in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other;

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A First Course in Structural Equation Modeling

in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other;

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Structural Equation Modeling (SEM)

Structural equation modeling (SEM) is a general, cross-sectional statistical modeling technique. The chapters in this book propose a;

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Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life;

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