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Biostatistics In Public Health Using Stata

Author: Erick L. Suárez
Publisher: CRC Press
ISBN: 1498722024
Size: 10.34 MB
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Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiologic studies. The book shares the authors’ insights gathered through decades of collective experience teaching in the academic programs of biostatistics and epidemiology. Maintaining a focus on the application of statistics in public health, it facilitates a clear understanding of the basic commands of STATA for reading and saving databases. The book includes coverage of data description, graph construction, significance tests, linear regression models, analysis of variance, categorical data analysis, logistic regression model, poisson regression model, survival analysis, analysis of correlated data, and advanced programming in STATA. Each chapter is based on one or more research problems linked to public health. Additionally, every chapter includes exercise sets for practicing concepts and exercise solutions for self or group study. Several examples are presented that illustrate the applications of the statistical method in the health sciences using epidemiologic study designs. Presenting high-level statistics in an accessible manner across research fields in public health, this book is suitable for use as a textbook for biostatistics and epidemiology courses or for consulting the statistical applications in public health. For readers new to STATA, the first three chapters should be read sequentially, as they form the basis of an introductory course to this software.

Konometrie F R Dummies

Author: Roberto Pedace
Publisher: John Wiley & Sons
ISBN: 3527801529
Size: 39.69 MB
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Theorien verstehen und Techniken anwenden Was haben die Gehälter von Spitzensportlern und der Mindestlohn gemeinsam? Richtig, man kann sie mit Ökonometrie erforschen. Im Buch steht, wie es geht. Und nicht nur dafür, sondern für viele weitere Gebiete lohnt es sich, der zunächst etwas trocken und sperrig anmutenden Materie eine Chance zu geben. Lernen Sie von den Autoren, wie Sie spannende Fragen formulieren, passende Variablen festlegen, treffsichere Modelle entwerfen und Ihre Aussagen auf Herz und Nieren prüfen. Werden Sie sicher im Umgang mit Hypothesentests, Regressionsmodellen, Logit- & Probit-Modellen und allen weiteren gängigen Methoden der Ökonometrie. So begleitet Ökonometrie für Dummies Sie Schritt für Schritt und mit vielen Beispielen samt R Output durch dieses spannende Thema.

Biostatistics For Clinical And Public Health Research

Author: Melody S. Goodman
Publisher: Routledge
ISBN: 1351651714
Size: 27.58 MB
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Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results. Focusing on statistical models without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician. This book will be an invaluable tool for students and clinical and public health practitioners.

Biostatistics For Epidemiology And Public Health Using R

Author: Bertram K.C. Chan, PhD
Publisher: Springer Publishing Company
ISBN: 0826110266
Size: 76.81 MB
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Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language. Based on the assumption that readers have minimal familiarity with statistical concepts, the author uses a step-by-step approach to building skills. The text encompasses biostatistics from basic descriptive and quantitative statistics to survival analysis and missing data analysis in epidemiology. Illustrative examples, including real-life research problems drawn from such areas as nutrition, environmental health, and behavioral health, engage students and reinforce the understanding of R. These examples illustrate the replication of R for biostatistical calculations and graphical display of results. The text covers both essential and advanced techniques and applications in biostatistics that are relevant to epidemiology. Also included are an instructor's guide, student solutions manual, and downloadable data sets. Key Features: First overview biostatistics textbook for epidemiology and public health that uses the open-source R program Covers essential and advanced techniques and applications in biostatistics as relevant to epidemiology Features abundant examples to illustrate the application of R language for biostatistical calculations and graphical displays of results Includes instructor's guide, student solutions manual, and downloadable data sets.

Analysis In Nutrition Research

Author: George Pounis
Publisher: Academic Press
ISBN: 0128145579
Size: 10.15 MB
Format: PDF, ePub
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Analysis in Nutrition Research: Principles of Statistical Methodology and Interpretation of the Results describes, in a comprehensive manner, the methodologies of quantitative analysis of data originating specifically from nutrition studies. The book summarizes various study designs in nutrition research, research hypotheses, the proper management of dietary data, and analytical methodologies, with a specific focus on how to interpret the results of any given study. In addition, it provides a comprehensive overview of the methodologies used in study design and the management and analysis of collected data, paying particular attention to all of the available, modern methodologies and techniques. Users will find an overview of the recent challenges and debates in the field of nutrition research that will define major research hypotheses for research in the next ten years. Nutrition scientists, researchers and undergraduate and postgraduate students will benefit from this thorough publication on the topic. Provides a comprehensive presentation of the various study designs applied in nutrition research Contains a parallel description of statistical methodologies used for each study design Presents data management methodologies used specifically in nutrition research Describes methodologies using both a theoretical and applied approach Illustrates modern techniques in dietary pattern analysis Summarizes current topics in the field of nutrition research that will define major research hypotheses for research in the next ten years

Regression Methods In Biostatistics

Author: Eric Vittinghoff
Publisher: Springer Science & Business Media
ISBN: 1461413532
Size: 26.95 MB
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This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.

Applications Of Regression Models In Epidemiology

Author: Erick Suárez
Publisher: John Wiley & Sons
ISBN: 1119212480
Size: 38.29 MB
Format: PDF, ePub, Docs
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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 of Public 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 School of 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.

Naturgeschichte Der Infektionskrankheiten Des Menschen

Author: Frank Macfarlane Burnet
Publisher: S. Fischer Verlag
ISBN: 3105614095
Size: 52.38 MB
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Der Nobelpreisträger Frank Macfarlane Burnet schildert die Infektionskrankheiten als ein Schlüsselthema der Conditio humana. Er zeigt, wie sich in dem die Erkrankung auslösenden Kampf zwischen Erreger und Opferorganismus Grundprozesse des Lebens, Wachstum und Tod, enthüllen. Das Buch gibt Einblick in den chemischen Bauplan der Erreger, schildert anschaulich die Angriffs- und Abwehrstrategien, die komplizierten ökologischen Beziehungen des Menschen zu den Organismen seiner Umwelt. Indem es die schrittweise Eindämmung großer Seuchen, die jahrtausendelang die Menschheit dezimiert haben, nacherzählt, aber auch die Negativfolgen dieses Fortschritts – die Gefahr der Übervölkerung und die Entwicklung biologischer Massenvernichtungsmittel – eindringlich beim Namen nennt, ist das Buch gleichzeitig ein fesselndes Stück Evolutions-, Wissenschafts- und Kulturgeschichte. (Dieser Text bezieht sich auf eine frühere Ausgabe.)

Sterblich Sein

Author: Atul Gawande
Publisher: S. Fischer Verlag
ISBN: 3104035849
Size: 72.43 MB
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Ein Buch über das Sterben, das das Leben lehrt Die Medizin scheint über Krankheit und Tod zu triumphieren, doch sterben wir so trostlos wie nie zuvor. Der Bestsellerautor und renommierte Arzt Atul Gawande schreibt in seinem beeindruckenden Buch über das, was am Ende unseres Lebens wirklich zählt. Ungewöhnlich offen spricht er darüber, was es bedeutet, alt zu werden, wie man mit Gebrechen und Krankheiten umgehen kann und was wir an unserem System ändern müssen, um unser Leben würdevoll zu Ende zu bringen. Ein mutiges und weises Buch eines großartigen Autors, voller Geschichten und eigener Erfahrungen, das uns hilft, die Geschichte unseres Lebens gut zu Ende zu erzählen. »Dieses Buch ist nicht nur weise und sehr bewegend, sondern gerade in unserer Zeit unbedingt notwendig und sehr aufschlussreich.« Oliver Sacks »Die medizinische Betreuung ist mehr auf Heilung ausgelegt als auf das Sterben. Dies ist Atuls Gawandes stärkstes und bewegendstes Buch.« Malcolm Gladwell