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This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data;
Vergelijkbare producten zoals Biostatistics and Computer-based Analysis of Health Data using Stata
applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the;
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management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross;
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Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed;
Vergelijkbare producten zoals Biostatistics and Computer-based Analysis of Health Data using R
Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata;
Vergelijkbare producten zoals Biostatistics 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;
Vergelijkbare producten zoals Biostatistics for Clinical and Public Health Research
epidemiological data, multivariate models, dose-response analysis, analysis of the interaction between causes of disease, meta-analysis, and computer;
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analysis and graphical output. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health;
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Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses;
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cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude;
Vergelijkbare producten zoals Handbook of Statistical Analyses Using Stata, Fourth Edition
cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude;
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Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses;
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of evidence to examine health disparities using population-health data. For each statistical approach discussed in this book, Thanh V. Tran and Keith;
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involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common;
Vergelijkbare producten zoals A Biostatistics Toolbox for Data Analysis
Using Stata for Quantitative Analysis offers a brief but thorough introduction to analyzing data in undergraduate and graduate level;
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This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;
Vergelijkbare producten zoals Handbook of Neuroimaging Data Analysis
This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;
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Using examples from a German longitudinal study, Data Analysis Using Stata provides a comprehensive introduction to Stata with an emphasis;
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meta-data are introduced. The authors then develop analysis code using the appropriate RStata packages and functions. What's New in the;
Vergelijkbare producten zoals Applied Meta-Analysis with R and Stata
meta-data are introduced. The authors then develop analysis code using the appropriate RStata packages and functions. What's New in the;
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Emphasis on concepts rather than formulas Includes interesting examples with real data Uses Stata and R;
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interactions of scholars across health research related disciplines. Topics covered include: Health data analysis and applications to EHR data;
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Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the;
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This book provides a practical guide to analysis of simple andcomplex method comparison data, using Stata, SAS and R. It takesthe classical;
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The Workflow of Data Analysis Using Stata, by J. Scott Long, is an essential productivity tool for data analysts. Long presents lessons;
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traditional techniques for missing data inference including likelihood-based, weighted GEE, multiple imputation, and Bayesian methods and applies the;
Vergelijkbare producten zoals Applied Missing Data Analysis in the Health Sciences
examples. This clear and concise book covers human genetic epidemiology, using R in data analysis, including multivariate;
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