Meta-analysis is the synthesis of results from previous studies. It is used to increase power, obtain a better estimate of an effect size, and sometimes to resolve conflicting conclusions in the literature. In this workshop, we will discuss how the data for a meta-analysis are collected and organized, as well as how such data are…

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# Search Results for: stata

# CANCELLED: Introduction to Meta-analysis in Stata

Due to a medical emergency, this workshop has been cancelled. We hope to reschedule this workshop soon, and we apologize for any inconvenience. Meta-analysis is the synthesis of results from previous studies. It is used to increase power, obtain a better estimate of an effect size, and sometimes to resolve conflicting conclusions in the literature. …

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# Survey Data Analysis in Stata 17

The purpose of this workshop is to explore some issues in the analysis of survey data using Stata 17. Before we begin, you will want to be sure that your copy of Stata is up-to-date. To do this, please type update all in the Stata command window and follow any instructions given. These updates include…

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# Decomposing, Probing, and Plotting Interactions in Stata

Purpose This seminar will show you how to decompose, probe, and plot two-way interactions in linear regression using the margins command in Stata. This page is based off of the seminar Decomposing, Probing, and Plotting Interactions in R. Outline Throughout the seminar, we will be covering the following types of interactions: Continuous by continuous Continuous by…

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# Stata Class Notes: Analyzing Data

ttest t-test anova Analysis of variance regress Regression predict Predicts after model estimation test Test linear hypotheses after model estimation contrast Contrasts and linear hypothesis tests after estimation margins Predicted means marginsplot Plot predicted means kdensity Kernel density estimates and graphs qnorm Graphs a quantile plot logit Logistic regression tabulate Crosstabs with chi-square test signtest…

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# Stata Class Notes: Managing Data

pwd Show current directory (pwd=print working directory) dir or ls Show files in current directory cd Change directory keep if Keep observations if condition is met keep Keep variables or observations drop Drop variables or observations drop if Drop observations if condition is met append Append a data file to current file sort Sort observations…

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# Stata Class Notes: Modifying Data

codebook Show codebook information for file order Order the variables in a data set aorder Order the variables in a data set in alphabetical order label data Apply a label to a data set label variable Apply a label to a variable label define Define value labels for a categorical variable label values Apply value…

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# Stata Class Notes: Exploring Data

use Load dataset into memory describe Describe a dataset list List the contents of a dataset codebook Detailed contents of a dataset labelbook Information on value labels log Create a log file lookfor Find variables in large dataset summarize Descriptive statistics tabstat Table of descriptive statistics graph High resolution graphs kdensity Kernel density plot sort…

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# Stata Class Notes: Entering Data

cd Change directory dir or ls Show files in current directory insheet Read ASCII (text) data created by a spreadsheet infile Read unformatted ASCII (text) data infix Read ASCII (text) data in fixed format input Enter data from keyboard import excel Import Excel .xls or .xlsx file describe Describe contents of data in memory or…

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# Stata 16 Class Notes

Stata is a powerful and yet easy-to-use statistical package that runs on Windows, Macintosh and Unix platforms. This class is designed for people who are just getting started using Stata. The students in the class will have a hands-on experience using Stata for statistics, graphics and data management. The class notes are the scripts for…

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