TY - BOOK AU - Kothari,Prasad TI - Data analysis with Stata: explore the big data field and learn how to perform data analytics and predictive modeling in Stata T2 - Professional expertise distilled SN - 1782173188 AV - QA76.9.Q36 U1 - 005.13/3 23 PY - 2015/// CY - Birmingham, UK PB - Packt Publishing KW - Stata KW - fast KW - Quantitative research KW - Big data KW - Recherche quantitative KW - Données volumineuses KW - COMPUTERS KW - Programming KW - General KW - bisacsh KW - Electronic books N1 - Includes index; 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 UR - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1087968 ER -