E-Book, Englisch, 206 Seiten
Suárez / Pérez / Nogueras Biostatistics in Public Health Using STATA
Erscheinungsjahr 2016
ISBN: 978-1-4987-2202-5
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 206 Seiten
ISBN: 978-1-4987-2202-5
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
This book helps public health practitioners and students gain expertise in applications of regression modeling in order to solve problems when data are collected in epidemiological studies. It covers linear regression models, polynomial regression models, weighted linear regression models, methods for selecting the best regression equation, logistic regression models, and Poisson regression models. One chapter solves these examples with the STATA program. Additionally, every chapter has exercise sets for practicing concepts and exercise solutions for self or group study.
Zielgruppe
Public health practitioners doing advanced statistical analysis. Students in applied regression analysis courses in public health departments (foundational coursework needed in biostatistics and epidemiology).
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction to Simple Linear Regression Models. Matrix Representation of the Linear Regression Model. Evaluation of Partial Tests of Hypotheses in a MLRM. Selection of Variables in a Multiple Linear Regression Model. Correlation Analysis. Strategies for Assessing the Adequacy of the Linear Regression Model. Weighted Linear Regression. Generalized Linear Models. Unconditional Logistic Regression in an Epidemiological Study Using Unpaired Case Control Design. Poisson Regression in an Epidemiological Cohort Study. Statistical Methods Applied to Cross-Sectional Epidemiologic Studies. STATA Programming. Practice Exercise Solutions by Chapter in STATA, SAS, R and SPSS.
