目錄(75章)
倒序
- coverpage
- Data Analysis with Stata
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Introduction to Stata and Data Analytics
- Introducing data analytics
- The Stata interface
- Data-storing techniques in Stata
- Directories and folders in Stata
- Reading data in Stata
- Variables and data types
- Summary
- Chapter 2. Stata Programming and Data Management
- The labeling of data variables and variable transformations
- Summarizing the data and preparing tabulated reports
- Appending and merging the files for data management
- Macros
- Loops in Stata
- Summary
- Chapter 3. Data Visualization
- Scatter plots
- Line plots
- Histograms and other charts
- Box plots
- Pie charts
- Pyramidal graphs
- Vio plots
- Ci plots
- Statistical calculations in graphs
- Curve fitting in Stata
- Summary
- Chapter 4. Important Statistical Tests in Stata
- T tests
- The chi-square goodness of fit test
- ANOVA
- MANOVA
- Fisher's exact test
- The Wilcoxon-Mann-Whitney test
- Summary
- Chapter 5. Linear Regression in Stata
- Linear regression
- Variance inflation factor and multicollinearity
- Homoscedasticity
- Summary
- Chapter 6. Logistic Regression in Stata
- The logistic regression concept
- Logistic regression in Stata
- Logistic regression for finance (loans and credit cards)
- Summary
- Chapter 7. Survey Analysis in Stata
- Survey analysis concepts
- Survey analysis in Stata code
- Cluster sampling
- Summary
- Chapter 8. Time Series Analysis in Stata
- Time series analysis concepts
- Code for time series analysis in Stata
- Summary
- Chapter 9. Survival Analysis in Stata
- Survival analysis concepts
- Applications and code in Stata for survival analysis
- Building a model
- Proportionality assumption
- Summary
- Index 更新時間：2021-07-09 21:31:26
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