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Data Analysis with STATA

Data Analysis with STATA

By : Kothari
2.2 (5)
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Data Analysis with STATA

Data Analysis with STATA

2.2 (5)
By: Kothari

Overview of this book

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.
Table of Contents (11 chapters)
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10
Index

Survey analysis concepts


Many companies and people are hesitant or do not have the bandwidth to conduct surveys. They depend on some of the market research or survey agencies to conduct these surveys, and the results are also analyzed by these agencies. Many of the given estimates and documented standard errors that come from the survey analysis are calculated differently based on various sampling designs and the techniques available in the market. In case of a wrongly specified sampling design, the estimates and the standard errors can go for a toss. This is really crucial in order to understand survey analysis and design.

The following are some of the terminologies and concepts that you need to be well aware of:

  • Weights: There are various weights assigned during survey design and analysis process. The most common weights among all of these is the sampling weight. Some of the statisticians denote this by pweight. It denotes inverse probability on the chances of it being included in the given...

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