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Download PDF by Erick Su?rez, Cynthia M. P?rez, Roberto Rivera, Melissa N.: Applications of Regression Models in Epidemiology

By Erick Su?rez, Cynthia M. P?rez, Roberto Rivera, Melissa N. Mart?nez

ISBN-10: 1119212480

ISBN-13: 9781119212485

A one-stop advisor for public healthiness scholars and practitioners studying the functions of classical regression types in epidemiology

This e-book is written for public healthiness execs and scholars attracted to making use of regression versions within the box of epidemiology. the educational fabric is generally lined in public overall healthiness classes together with (i) utilized Regression research, (ii) complex Epidemiology, and (iii) Statistical Computing. The booklet consists of thirteen chapters, together with an creation bankruptcy that covers simple options of information and likelihood. one of the subject matters coated are linear regression version, polynomial regression version, weighted least squares, tools for choosing the simplest regression equation, and generalized linear versions and their purposes to assorted epidemiological research designs. An instance is equipped in each one bankruptcy that applies the theoretical features offered in that bankruptcy. furthermore, workouts are integrated and the ultimate bankruptcy is dedicated to the strategies of those educational workouts with solutions in all the significant statistical software program programs, together with STATA, SAS, SPSS, and R. it really is assumed that readers of this publication have a easy direction in biostatistics, epidemiology, and introductory calculus. The booklet should be of curiosity to someone trying to comprehend the statistical basics to help quantitative study in public health.

In addition, this book:

• is predicated at the authors’ direction notes from two decades educating regression modeling in public well-being courses

• presents routines on the finish of every chapter

• features a ideas bankruptcy with solutions in STATA, SAS, SPSS, and R

• presents real-world public health and wellbeing functions of the theoretical facets inside the chapters

Applications of Regression types in Epidemiology is a reference for graduate scholars in public overall healthiness and public wellbeing and fitness practitioners.

ERICK SUÁREZ is a Professor of the dept of Biostatistics and Epidemiology on the college of Puerto Rico college of Public wellbeing and fitness. He bought a Ph.D. measure in scientific facts from the London institution of Hygiene and Tropical medication. He has 29 years of expertise educating biostatistics.

CYNTHIA M. PÉREZ is a Professor of the dep. of Biostatistics and Epidemiology on the collage of Puerto Rico institution of Public healthiness. She acquired an M.S. measure in information and a Ph.D. measure in Epidemiology from Purdue college. She has 22 years of expertise instructing epidemiology and biostatistics.

ROBERTO RIVERA is an affiliate Professor on the university of commercial on the college of Puerto Rico at Mayaguez. He obtained a Ph.D. measure in facts from the collage of California in Santa Barbara. He has greater than 5 years of expertise instructing information classes on the undergraduate and graduate levels.

MELISSA N. MARTÍNEZ is an Account manager at Havas Media foreign. She holds an MPH in Biostatistics from the college of Puerto Rico and an MSBA from the nationwide collage in San Diego, California. For the earlier seven years, she has been acting analyses for the biomedical examine and media advertisements fields.

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Extra info for Applications of Regression Models in Epidemiology

Sample text

Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. Epidemiology, 18, 805–835. L. A. (2016) The ASA’s statement on p-values: context, process, and purpose. Am. , 70:(2), 129–133. 23 25 2 Introduction to Simple Linear Regression Models Aim: Upon completing this chapter, the reader should be able to apply simple linear regression models to evaluate relationships between a quantitative random variable and a quantitative variable in public health problems.

And Reid, N. (2016) Crisis in science? Or crisis in statistics! Mixed messages in statistics with impact on science. Journal of Statistics Research, 1, 48–50. A. (2010) Applied Survey Data Analysis. Boca Raton, FL: Chapman & Hall/CRC. B. (1965) The environment and disease: association or causation? Proc. , 58, 295–300. Gelman, A. and Hill, J. (2007) Data Analysis Using Regression and Multilevel/ Hierarchical Models. New York, NY: Cambridge University Press. Jewell, N. (2004) Statistics for Epidemiology, Boca Raton, FL: Chapman & Hall/ CRC.

9 Hypothesis Testing About the Slope of the Regression Line where y^i ˆ β^0 ‡ β^1 x n SST ˆ iˆ1 n SSE ˆ SSR ˆ iˆ1 n iˆ1 yi y yi y^i y^i y 2 2 2 denotes the estimate of the value of Y for observation i under the model. denotes the total sum of squares, which represents the total variation of Y around its mean (y). denotes the sum of squared errors, which represents the variation of Y around its fitted value (y^i ). denotes the sum of squares due to the regression, which represents the variation of the fitted values of Y (y^i ) around the mean value of Y (y).

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Applications of Regression Models in Epidemiology by Erick Su?rez, Cynthia M. P?rez, Roberto Rivera, Melissa N. Mart?nez


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