Data analysis with Stata : explore the big data field and learn how to perform data analytics and predictive modeling in Stata / Prasad Kothari.

Includes index.

Print version record.

Cover ; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; 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; Insheet; Infix; The Stat/Transfer program; Manual typing or copy and paste; Variables and data types; Indicators or data variables; Examining the data; How to subset the data file using IN and IF; Summary; Chapter 2: Stata Programming and Data Management.

The labeling of data, variables, and variable transformationsSummarizing the data and preparing tabulated reports; Appending and merging the files for data management; Macros; Loops in Stata; While loops; 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; Two independent sample t tests; The chi-square goodness of fit test; ANOVA.

One-way repeated ANOVA measuresMANOVA; Fisher's exact test; The Wilcoxon-Mann-Whitney test; Summary; Chapter 5: Linear Regression in Stata ; Linear regression; Linear regression code in Stata; Variance inflation factor and multicollinearity; Homoscedasticity; Summary; Chapter 6: Logistic Regression in Stata ; The logistic regression concept; Logit; 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 StataTime 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.

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