Biostatistics In Public Health Using Stata PDF Download
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| Author | : Erick L. Suárez |
| Publisher | : CRC Press |
| Total Pages | : 202 |
| Release | : 2016-03-24 |
| Genre | : Mathematics |
| ISBN | : 1498722024 |
Download Biostatistics in Public Health Using STATA Book in PDF, ePub and Kindle
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 epidemiolo
| Author | : Melody S. Goodman |
| Publisher | : Routledge |
| Total Pages | : 540 |
| Release | : 2017-12-14 |
| Genre | : Medical |
| ISBN | : 1351651714 |
Download Biostatistics for Clinical and Public Health Research Book in PDF, ePub and Kindle
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.
| Author | : Christophe Lalanne |
| Publisher | : Elsevier |
| Total Pages | : 134 |
| Release | : 2016-09-06 |
| Genre | : Computers |
| ISBN | : 0081010842 |
Download Biostatistics and Computer-based Analysis of Health Data using Stata Book in PDF, ePub and Kindle
This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands. Provides detailed examples of the use of Stata for common biostatistical tasks in medical research Features a work program structured around the four previous chapters and a series of practical exercises with commented corrections Includes an appendix to help the reader familiarize themselves with additional packages and commands Focuses on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data
| Author | : Svend Juul |
| Publisher | : Stata Press |
| Total Pages | : 346 |
| Release | : 2006-03-15 |
| Genre | : Computers |
| ISBN | : 1597180106 |
Download An Introduction to Stata for Health Researchers Book in PDF, ePub and Kindle
Designed to assist those working in health research, An Introduction to Stata for Health Researchers explains how to maximize the versatile Stata program for data management, statistical analysis, and graphics for research. The first nine chapters are devoted to becoming familiar with Stata and the essentials of effective data management. The text is also a valuable companion reference for more advanced users. It covers a host of useful applications for health researchers including the analysis of stratified data via epitab and regression models; linear, logistic, and Poisson regression; survival analysis including Cox regression, standardized rates, and correlation/ROC analysis of measurements.
| Author | : Ding-Geng (Din) Chen |
| Publisher | : CRC Press |
| Total Pages | : 457 |
| Release | : 2021-03-30 |
| Genre | : Computers |
| ISBN | : 0429592175 |
Download Applied Meta-Analysis with R and Stata Book in PDF, ePub and Kindle
Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead the reader is taken by the hand and shown around some analyses, graphics, and simulations directly relating to meta-analysis... A useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started without having to plough through theorems and proofs. —Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions. What’s New in the Second Edition: Adds Stata programs along with the R programs for meta-analysis Updates all the statistical meta-analyses with R/Stata programs Covers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SS Adds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MA Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R or Stata) in public health, medical research, governmental agencies, and the pharmaceutical industry.
| Author | : Svend Juul |
| Publisher | : Stata Press |
| Total Pages | : 0 |
| Release | : 2014-03-21 |
| Genre | : Mathematics |
| ISBN | : 9781597181358 |
Download An Introduction to Stata for Health Researchers, Fourth Edition Book in PDF, ePub and Kindle
An Introduction to Stata for Health Researchers, Fourth Edition methodically covers data management, simple description and analysis, and more advanced analyses often used in health research, including regression models, survival analysis, and evaluation of diagnostic methods. A chapter on graphics explores most graph types and describes how to modify the appearance of a graph before submitting it for publication. The authors emphasize the importance of good documentation habits to prevent errors and wasted time. Demonstrating the use of strategies and tools for documentation, they provide robust examples and offer the datasets for download online. Updated to correspond to Stata 13, this fourth edition is written for both Windows and Mac users. It provides improved online documentation, including further reading in online manuals.
| Author | : S. Selvin |
| Publisher | : Cambridge University Press |
| Total Pages | : 579 |
| Release | : 2015-10-20 |
| Genre | : Mathematics |
| ISBN | : 1107113083 |
Download A Biostatistics Toolbox for Data Analysis Book in PDF, ePub and Kindle
A Biostatistics Toolbox for Data Analysis delivers a sophisticated package of statistical methods for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. The book's statistical tools are organized into sections with similar objectives, each of which is accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls.
| Author | : Peter Cummings |
| Publisher | : CRC Press |
| Total Pages | : 432 |
| Release | : 2019-04-16 |
| Genre | : Mathematics |
| ISBN | : 0429619057 |
Download Analysis of Incidence Rates Book in PDF, ePub and Kindle
Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate students, researchers, and analysts in the disciplines of epidemiology, biostatistics, social sciences, economics, and psychology. Features: Compares and contrasts incidence rates with risks, odds, and hazards. Shows stratified methods, including standardization, inverse-variance weighting, and Mantel-Haenszel methods Describes Poisson regression methods for adjusted rate ratios and rate differences. Examines linear regression for rate differences with an emphasis on common problems. Gives methods for correcting confidence intervals. Illustrates problems related to collapsibility. Explores extensions of count models for rates, including negative binomial regression, methods for clustered data, and the analysis of longitudinal data. Also, reviews controversies and limitations. Presents matched cohort methods in detail. Gives marginal methods for converting adjusted rate ratios to rate differences, and vice versa. Demonstrates instrumental variable methods. Compares Poisson regression with the Cox proportional hazards model. Also, introduces Royston-Parmar models. All data and analyses are in online Stata files which readers can download. Peter Cummings is Professor Emeritus, Department of Epidemiology, School of Public Health, University of Washington, Seattle WA. His research was primarily in the field of injuries. He used matched cohort methods to estimate how the use of seat belts and presence of airbags were related to death in a traffic crash. He is author or co-author of over 100 peer-reviewed articles.
| Author | : William D. Dupont |
| Publisher | : Cambridge University Press |
| Total Pages | : 543 |
| Release | : 2009-02-12 |
| Genre | : Medical |
| ISBN | : 0521849527 |
Download Statistical Modeling for Biomedical Researchers Book in PDF, ePub and Kindle
A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.
| Author | : Ulrich Kohler (Dr. phil.) |
| Publisher | : Stata Press |
| Total Pages | : 399 |
| Release | : 2005-06-15 |
| Genre | : Computers |
| ISBN | : 1597180076 |
Download Data Analysis Using Stata Book in PDF, ePub and Kindle
"This book provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. Using data from a longitudinal study of private households in Germany, the book presents many examples from the social sciences to bring beginners up to speed on the use of Stata." -- BACK COVER.
