Training Calendar

Introduction to Health and Social Research with Stata

Online 2 days (8th June 2020 - 9th June 2020) Stata Intermediate, Introductory
Delivered by: Dr. Vincent O'Sullivan

Course Overview

This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.

This course is for professionals and researchers from all academic disciplines who are new to Stata, assuming only limited statistical knowledge and experience of using statistical software.

Participants will be introduced to Stata’s interface and shown how manage and prepare datasets for analysis. The fundamentals of data analysis and visualisation will also be taught. Then, participants will be introduced to two of the main data analysis tools: linear regression and logistic regression.

Finally, participants will learn the statistical theory behind these methods, and they will apply these methods to specially chosen datasets using examples from economic, social, and medical research.

Course Agenda

This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.

Day 1:

Session 1: Getting started with Stata - 10:00-12:00 GMT

  • Loading & saving data (Importing data from other formats)
  • User Interface; Click and go; Command line; Do files
  • Syntax of Stata commands
  • Getting help and on-line resources
  • Transforming variables and creating new variables
  • Generating variables; egen: extensions to generate
  • Recoding variables
  • Renaming variables
  • Labelling data
  • Storage Types and Working with String Variables

Session 2: Descriptive Statistics & Graphics - 14:00-16:00 GMT

  • Descriptive Statistics:
  • Measures of central tendency; measures of dispersion
  • Cross tabulations and correlations
  • Testing for differences between groups
  • Confidence intervals; hypothesis testing
  • Graphics
  • Histograms; Boxplots
  • Kernel density functions
  • Bivariate graphs:
  • Scatter plots
  • Line graphs
  • Formatting graphs
  • Overlaying multiple plots

Day 2:

Session 1: Linear Regression - 10:00-12:00 GMT

  • Ordinary Least Squares in Stata.
  • Interpretation of results.
  • Model diagnostics.
  • Creating formatted tables of results.
  • Graphing actual and fitted values .

Session 2: Logistic regression - 14:00-16:00 GMT

  • Short-comings of the linear probability model
  • Theory of logistic regression
  • Maximum likelihood estimation
  • Interpretation of coefficients: odds ratios; marginal effects
  • Multinomial logistic regression

Q&A Session: 16:00-17:00 GMT

Principal texts for pre- and post-course reading:

  • Alan C. Acock. 2018. A Gentle Introduction to Stata, Sixth Edition. Texas: Stata Press.
  • Angrist, Joshua & Jörn-Steffen Pischke (2014) Mastering ’metrics: The path from cause to effect. New Jersey: Princeton University Press.

Terms & Conditions

  • Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrolment).
  • Additional discounts are available for multiple registrations.
  • Delegates are provided with temporary licences for the software(s) used in the course and will be instructed to download and install the software prior to the start of the course. (Alternatively, we can also provide laptops free of charge to attending delegates).
  • Payment of course fees required prior to the course start date.
  • Registration closes 5-calendar days prior to the start of the course.
    • 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
    • 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
    • No fee returned for cancellations made less than 14-calendar days prior to the start of the course.

The number of delegates is restricted. Please register early to guarantee your place.

  •  CommercialAcademicStudent
    8-9 June 2020 (10-12 & 2-4pm GMT) (08/06/2020 - 09/06/2020)

All prices exclude VAT or local taxes where applicable.

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