£97.00

CRC Press Structural Equation Modeling for Health and Medicine

Name: CRC Press Structural Equation Modeling for Health and Medicine
Brand: CRC Press
Price: 97.0 GBP
Availability: InStock

Public Health

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Description

Master complex data analysis with Structural Equation Modeling for Health and Medicine, part of the Chapman & Hall/CRC Biostatistics Series. This textbook provides a comprehensive guide to using SEM, a flexible multivariate technique designed to examine relationships among various variables. While its roots are in the social sciences, this book adapts these methods specifically for researchers working in health and medicine. Readers will learn how to model and test hypothesized causal relationships between observed and latent (unobserved) variables. The text covers essential applications, including analysis across different groups and changes over time. By merging conceptual models with statistical methods, this book makes advanced multivariate analysis accessible to a wide range of researchers across multiple disciplines. Whether you are studying public health trends or medical data, this resource helps you navigate the complexities of modern statistical modeling.

Key Features

Explains SEM as a flexible multivariate technique to examine relationships among multiple variables.

Adapts social science statistical roots to address issues unique to health and medicine research.

Provides guidance on modeling hypothesized causal relationships between observed and latent variables.

Covers advanced analysis techniques including studies across different time periods and groups.

Designed to make complex statistical modeling accessible to researchers in many different disciplines.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1138574252
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > General Medical Issues > Public Health
Domain: Amazon UK
Release Date: 12 April 2021
Listed Since: 06 October 2020

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CRC Press Structural Equation Modeling for Health and Medicine

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