# Электронная книга: Roberto Rivera «Applications of Regression Models in Epidemiology»

A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for public health professionals and students interested in applying regression models in the field of epidemiology. The academic material is usually covered in public health courses including (i) Applied Regression Analysis, (ii) Advanced Epidemiology, and (iii) Statistical Computing. The book is composed of 13 chapters, including an introduction chapter that covers basic concepts of statistics and probability. Among the topics covered are linear regression model, polynomial regression model, weighted least squares, methods for selecting the best regression equation, and generalized linear models and their applications to different epidemiological study designs. An example is provided in each chapter that applies the theoretical aspects presented in that chapter. In addition, exercises are included and the final chapter is devoted to the solutions of these academic exercises with answers in all of the major statistical software packages, including STATA, SAS, SPSS, and R. It is assumed that readers of this book have a basic course in biostatistics, epidemiology, and introductory calculus. The book will be of interest to anyone looking to understand the statistical fundamentals to support quantitative research in public health. In addition, this book:• Is based on the authors’ course notes from 20 years teaching regression modeling in public health courses • Provides exercises at the end of each chapter • Contains a solutions chapter with answers in STATA, SAS, SPSS, and R • Provides real-world public health applications of the theoretical aspects contained in the chapters Applications of Regression Models in Epidemiology is a reference for graduate students in public health and public health practitioners. ERICK SUÁREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School ofPublic Health. He received a Ph.D. degree in Medical Statistics from the London School of Hygiene and Tropical Medicine. He has 29 years of experience teaching biostatistics. CYNTHIA M. PÉREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico Schoolof Public Health. She received an M.S. degree in Statistics and a Ph.D. degree in Epidemiology from Purdue University. She has 22 years of experience teaching epidemiology and biostatistics. ROBERTO RIVERA is an Associate Professor at the College of Business at the University of Puerto Rico at Mayaguez. He received a Ph.D. degree in Statistics from the University of California in Santa Barbara. He has more than five years of experience teaching statistics courses at the undergraduate and graduate levels. MELISSA N. MARTÍNEZ is an Account Supervisor at Havas Media International. She holds an MPH in Biostatistics from the University of Puerto Rico and an MSBA from the National University in San Diego, California. For the past seven years, she has been performing analyses for the biomedical research and media advertising fields. Издательство: "John Wiley&Sons Limited"
ISBN: 9781119212492 электронная книга Купить за 10424.97 руб и скачать на Litres |

## Roberto Rivera

Football player infobox

playername = Roberto Rivera

fullname = Roberto Rivera Contreras

dateofbirth = birth date and age|1980|9|29

cityofbirth = Guadalajara,

countryofbirth =

height = height|m=1.88

currentclub =

position = Forward

clubnumber = 18

years =

youthyears =

youthclubs =

clubs =

caps(goals) = 1 (0)

pcupdate = July 1, 2008

**Roberto Rivera** (born

Rivera is a player who has been coming up through the ranks in several youth club teams such as Mexiquense and Cobras. He began playing for Chivas' youth teams in

**External links**

*Medio Tiempo|idj=10093

Источник: Roberto Rivera

### Другие книги схожей тематики:

Автор | Книга | Описание | Год | Цена | Тип книги |
---|---|---|---|---|---|

Roberto Rivera | Applications of Regression Models in Epidemiology | A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for public health professionals and… — @John Wiley&Sons Limited, @ @ @ @ Подробнее... | 10424.97 | электронная книга |

### Look at other dictionaries:

**Regression dilution**— is a statistical phenomenon also known as attenuation . Consider fitting a straight line for the relationship of an outcome variable y to a predictor variable x, and estimating the gradient (slope) of the line. Statistical variability,… … Wikipedia**Epidemiology**— For the Community episode, see Epidemiology (Community). Epidemiology is the study of health event, health characteristic, or health determinant patterns in a population. It is the cornerstone method of public health research, and helps inform… … Wikipedia**Regression toward the mean**— In statistics, regression toward the mean (also known as regression to the mean) is the phenomenon that if a variable is extreme on its first measurement, it will tend to be closer to the average on a second measurement, and a fact that may… … Wikipedia**Regression discontinuity design**— In statistics, econometrics, epidemiology and related disciplines, a regression discontinuity design (RDD) is a design that elicits the causal effects of interventions by exploiting a given exogenous threshold determining assignment to treatment … Wikipedia**Linear regression**— Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… … Wikipedia**Robust regression**— In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… … Wikipedia**Nonlinear regression**— See Michaelis Menten kinetics for details In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or… … Wikipedia**Nonparametric regression**— is a form of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. Nonparametric regression requires larger sample sizes than regression based on… … Wikipedia**David A. Freedman (statistician)**— David A. Freedman (1938 – 2008) was Professor of Statistics at the University of California, Berkeley. He was a distinguished mathematical statistician whose wide ranging research included the analysis of martingale inequalities, Markov processes … Wikipedia**Meta-analysis**— In statistics, a meta analysis combines the results of several studies that address a set of related research hypotheses. In its simplest form, this is normally by identification of a common measure of effect size, for which a weighted average… … Wikipedia**Optimal design**— This article is about the topic in the design of experiments. For the topic in optimal control theory, see shape optimization. Gustav Elfving developed the optimal design of experiments, and so minimized surveyors need for theodolite measurements … Wikipedia