کتاب دانلود کتب لاتین علوم حیات آمار زیستی
مدل سازی معادله ساختاری برای بهداشت و پزشکی
مدل سازی معادله ساختاری برای بهداشت و پزشکی

Structural Equation Modeling for Health and Medicine
سال انتشار: 2021
تعداد صفحات: 322
زبان فایل: انگلیسی
فرمت فایل: pdf
حجم فایل: 10MB
قیمت: 500,000ريال

افزودن به سبد دانلود

Publisher : Chapman and Hall/CRC

ISBN-10 : 1138574252

ISBN-13 : 978-1138574250

ASIN : B08WRH6953

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine.

SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables.

Features:

•Basic, intermediate, and advanced SEM topics

•Detailed applications, particularly relevant for health and medical scientists

•Topics and examples that are pertinent to both new and experienced SEM researchers

•Substantive issues in health and medicine in the context of SEM

•Both methodological and applied examples

•Numerous figures and diagrams to illustrate the examples

As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.