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Data Analysis with STATA

You're reading from   Data Analysis with STATA Explore the big data field and learn how to perform data analytics and predictive modelling in STATA

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Product type Paperback
Published in Oct 2015
Publisher Packt
ISBN-13 9781782173175
Length 176 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Stata and Data Analytics FREE CHAPTER 2. Stata Programming and Data Management 3. Data Visualization 4. Important Statistical Tests in Stata 5. Linear Regression in Stata 6. Logistic Regression in Stata 7. Survey Analysis in Stata 8. Time Series Analysis in Stata 9. Survival Analysis in Stata Index

Applications and code in Stata for survival analysis


The main objective of the HEDIS data is to predict in how much time the patient will go back to drug use after taking medicines. Here, we have divided the patients into two groups and have given two different lines of treatment: medicine=0 for short term and medicine =2 for longer term. The patients were divided into two sets: set=0 is set α and set= 1 is set β. In the following table, variable age = enrollment age, medth= methodus, and glycol= glycomet used by patients in the last 4 months. The medth1 variable denotes methodus use/glycomet use and medth2 denotes either methodus or glycomet use; however, medth3 denotes neither methodus nor glycomet use. The metfomindrug variable denotes the past medicine used and the line of treatment. The variable time denotes the times in which the patient goes back to the drug use, and the patient response denotes whether the patient came back. Patient response1 denotes a return to medicine use and...

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