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Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses;
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An Introduction to Survival Analysis Using Stata, Revised Third Edition is the ideal tutorial for professional data analysts who want to;
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Stata is the most flexible and extensible data analysis package available from a commercial vendor. R is a similarly flexible free and open;
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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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software. Fulfilling this need, AHandbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to;
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software. Fulfilling this need, AHandbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to;
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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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experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software;
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Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life;
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WITH STATA will make it easier for you to move fluidly through the world of modern data analysis.;
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WITH STATA will make it easier for you to move fluidly through the world of modern data analysis.;
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and logistic regression, and parametric and nonparametric tests of location and dispersion. Rather than splitting these topics by their Stata;
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, and survival analysis in STATA. You'll also discover different types of statistical modelling techniques and learn how to implement these;
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Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data;
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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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applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the;
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Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul Allison, is an accessible, data;
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inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case;
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inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case;
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Using Stata for Quantitative Analysis offers a brief but thorough introduction to analyzing data in undergraduate and graduate level;
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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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individuals. Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models. The;
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Modelling Survival Data in Medical Research describes the modelling approach to the analysis of survival data using a wide range;
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The Stata Survival Manual is a lifesaver for both students and professionals who are using the Stata software!;
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Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical;
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Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used;
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analysis step by step using appropriate RStata functions, which enables readers to gain an understanding of meta-analysis methods and RStata;
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