Data Analysis with Stata + code

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Название:Data Analysis with Stata

Автор: Prasad Kothari

Издательство: PASKT

Год: 2015

Страниц: 176

Язык: English

Формат: epub+code, awz3+code

Размер: 8Mb; 7 Mb

Explore the big data field and learn how to perform data analytics and predictive modelling in STATA

About This Book

Visualize and analyse data in STATA to devise a business strategy

Learn STATA programming and predictive modeling

Discover how you can become a data scientist with the power of STATA

Who This Book Is For

This book is for all the professionals and students who want to learn STATA programming and apply predictive modelling concepts. This book is also very helpful for experienced STATA programmers as it provides advanced statistical modelling concepts and their application.

Table of Contents

1: Introduction to Stata and Data Analytics

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

What You Will Learn

Perform important statistical tests to become a STATA data scientist

Be guided through how to program in STATA

Implement logistic and linear regression models

Visualize and program the data in STATA

Analyse survey data, time series data, and survival data

Perform database management in STATA

In Detail

STATA is an integrated software package that provides you with everything you need for data analysis, data management, and graphics. STATA also provides you with a platform to efficiently perform simulation, regression analysis (linear and multiple) [and custom programming.

This book covers data management, graphs visualization, and programming in STATA. Starting with an introduction to STATA and data analytics you’ll move on to STATA programming and data management. Next, the book takes you through data visualization and all the important statistical tests in STATA. Linear and logistic regression in STATA is also covered.

As you progress through the book, you will explore a few analyses, including the survey analysis, time series analysis, and survival analysis in STATA. You’ll also discover different types of statistical modelling techniques and learn how to implement these techniques in STATA.

Authors

Prasad Kothari

Prasad Kothari is an analytics thought leader. He has worked extensively with organizations such as Merck, Sanofi Aventis, Freddie Mac, Fractal Analytics, and the National Institute of Health on various analytics and big data projects. He has published various research papers in the American Journal of Drug and Alcohol Abuse and American Public Health Association.

Prasad is an industrial engineer from V.J.T.I. and has done his MS in management information systems from the University of Arizona. He works closely with different labs at MIT on digital analytics projects and research.

He has worked extensively on many statistical tools, such as R, Stata, SAS, SPSS, and Python. His leadership and analytics skills have been pivotal in setting up analytics practices for various organizations and helping them in growing across the globe.

Prasad set up a fraud investigation team at Freddie Mac, which is a world-renowned team, and has been known in the fraud-detection industry as a pioneer in cutting-edge analytical techniques. He also set up a sales forecasting team at Merck and Sanofi Aventis and helped these pharmaceutical companies discover new groundbreaking analytical techniques for drug discovery and clinical trials. Prasad also worked with the US government (the healthcare department at NIH) and consulted them on various healthcare analytics projects. He played pivotal role in ObamaCare.

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