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Biostatistics and Computer based Analysis of Health Data using Stata

Biostatistics and Computer based Analysis of Health Data using Stata
  • Author : Christophe Lalanne
  • Publsiher : Elsevier
  • Release : 06 September 2016
  • ISBN : 0081010842
  • Pages : 134 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKBiostatistics and Computer based Analysis of Health Data using Stata

Summary:
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


Biostatistics and Computer-based Analysis of Health Data using Stata

Biostatistics and Computer-based Analysis of Health Data using Stata
  • Author : Christophe Lalanne,Mounir Mesbah
  • Publisher : Elsevier
  • Release : 06 September 2016
GET THIS BOOKBiostatistics and Computer-based Analysis of Health Data using Stata

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

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Biostatistics and Computer-based Analysis of Health Data Using SAS

Biostatistics and Computer-based Analysis of Health Data Using SAS
  • Author : Christophe Lalanne,Mounir Mesbah
  • Publisher : Elsevier
  • Release : 22 June 2017
GET THIS BOOKBiostatistics and Computer-based Analysis of Health Data Using SAS

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS 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 a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice

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Biostatistics and Computer-based Analysis of Health Data using R

Biostatistics and Computer-based Analysis of Health Data using R
  • Author : Christophe Lalanne,Mounir Mesbah
  • Publisher : Elsevier
  • Release : 13 July 2016
GET THIS BOOKBiostatistics and Computer-based Analysis of Health Data using R

Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data. It is therefore of primary importance to understand how statistical data is displayed and how it can be exploited by software such as R. In this book, the authors explore basic and variable commands, sample comparisons, analysis of variance, epidemiological studies, and censored data. With

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Analysis in Nutrition Research

Analysis in Nutrition Research
  • Author : George Pounis
  • Publisher : Academic Press
  • Release : 19 October 2018
GET THIS BOOKAnalysis in Nutrition Research

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

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Biostatistics in Public Health Using STATA

Biostatistics in Public Health Using STATA
  • Author : Erick L. Suárez,Cynthia M. Pérez,Graciela M. Nogueras,Camille Moreno-Gorrín
  • Publisher : CRC Press
  • Release : 24 March 2016
GET THIS BOOKBiostatistics in Public Health Using STATA

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

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Biostatistics for Clinical and Public Health Research

Biostatistics for Clinical and Public Health Research
  • Author : Melody S. Goodman
  • Publisher : Routledge
  • Release : 14 December 2017
GET THIS BOOKBiostatistics for Clinical and Public Health Research

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

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An Introduction to Stata for Health Researchers

An Introduction to Stata for Health Researchers
  • Author : Svend Juul
  • Publisher : Stata Press
  • Release : 15 March 2006
GET THIS BOOKAn Introduction to Stata for Health Researchers

Designed to assist those working in health research, An Introduction to Stata for Health Researchers, explains how to maximize the versatile Strata 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

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Data Analysis Using Stata

Data Analysis Using Stata
  • Author : Ulrich Kohler,Frauke Kreuter
  • Publisher : Stata Press
  • Release : 15 June 2005
GET THIS BOOKData Analysis Using Stata

Provides an introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. This book gives an introduction to the Stata interface and then proceeds with a discussion of Stata syntax and simple programming tools like for each loops.

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Biostatistics

Biostatistics
  • Author : Wayne W. Daniel,Chad L. Cross
  • Publisher : Wiley
  • Release : 13 November 2018
GET THIS BOOKBiostatistics

The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation

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Applied Categorical and Count Data Analysis

Applied Categorical and Count Data Analysis
  • Author : Wan Tang,Hua He,Xin M. Tu
  • Publisher : CRC Press
  • Release : 04 June 2012
GET THIS BOOKApplied Categorical and Count Data Analysis

Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without using rigorous mathematical arguments. The text covers classic concepts and popular topics, such as contingency tables, logistic models, and Poisson regression models, along with modern areas that

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Analysis of Incidence Rates

Analysis of Incidence Rates
  • Author : Peter Cummings
  • Publisher : CRC Press
  • Release : 16 April 2019
GET THIS BOOKAnalysis of Incidence Rates

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

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An Introduction to Statistics and Data Analysis Using Stata®

An Introduction to Statistics and Data Analysis Using Stata®
  • Author : Lisa Daniels,Nicholas Minot
  • Publisher : SAGE Publications
  • Release : 11 January 2019
GET THIS BOOKAn Introduction to Statistics and Data Analysis Using Stata®

An Introduction to Statistics and Data Analysis Using Stata® by Lisa Daniels and Nicholas Minot provides a step-by-step introduction for statistics, data analysis, or research methods classes with Stata. Concise descriptions emphasize the concepts behind statistics for students rather than the derivations of the formulas. With real-world examples from a variety of disciplines and extensive detail on the commands in Stata, this text provides an integrated approach to research design, statistical analysis, and report writing for social science students.

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Biostatistics and Epidemiology

Biostatistics and Epidemiology
  • Author : Sylvia Wassertheil-Smoller
  • Publisher : Springer Science & Business Media
  • Release : 09 March 2013
GET THIS BOOKBiostatistics and Epidemiology

Biostatistics and Epidemiology/A Primer for Health Professionals offers practical guidelines and gives a concise framework for research and interpretation in the field. In addition to major sections covering statistics and epidemiology, the book includes a comprehensive exploration of scientific methodology, probability, and the clinical trial. The principles and methods described in this book are basic and apply to all medical subspecialties, psychology and education. The primer will be especially useful to public health officials and students looking for an

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Applied Longitudinal Analysis

Applied Longitudinal Analysis
  • Author : Garrett M. Fitzmaurice,Nan M. Laird,James H. Ware
  • Publisher : John Wiley & Sons
  • Release : 23 October 2012
GET THIS BOOKApplied Longitudinal Analysis

Praise for the First Edition ". . . [this book] should be on the shelf of everyone interestedin . . . longitudinal data analysis." —Journal of the American Statistical Association Features newly developed topics and applications of theanalysis of longitudinal data Applied Longitudinal Analysis, Second Edition presentsmodern methods for analyzing data from longitudinal studies and nowfeatures the latest state-of-the-art techniques. The bookemphasizes practical, rather than theoretical, aspects of methodsfor the analysis of diverse types of longitudinal data that can beapplied across various fields of study, from

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