* New * STATA v14 Training

(Singapore - 27th & 28th October 2016)

Course Synopsis

Stata is the teaching software of many renowned universities including Saw Swee Hock School for Public Health, National University of Singapore, London School of Hygiene & Tropical Medicine and University of Johns Hopkins.

This workshop is designed for participants who have little knowledge of statistics but would like to consider using Stata for data analysis. The emphasis is on applying the appropriate statistical method and the right Stata commands for analysis. Real-life data sets are used for illustration.

Speaker: Dr Chan Siew Pang
Honorary Fellow, Faculty of Science, Technology & Engineering, La Trobe University, Australia
President, Stata Users Group (Singapore)


Date Time Topic
Day 1
27th Oct 2016
Thursday 8.30am


9.00am Data Management
  • Introduction to Stata and its environment
  • Basic Stata commands for importing, exporting, formatting, labeling, combining and reshaping data sets
  • Do and ado files

  • 10.30am Tea Break 11:00am Data Analysis
  • Statistical tests (Student-t, Chi-square, Analysis of Variance)
  • Interval estimation
  • Power and sample size calculations
  • Analysis with aggregate data

  • 12.30pm Lunch

    1.30pm Linear Regression
  • Estimation (ordinary least squares) and prediction
  • Model assessment
  • Diagnostic checks

  • 3.00pm Tea Break

    3.30pm Robust and Nonparametric Regression
  • Reweighted least squares
  • Quantile & Inter-quantile regression

  • 5.00pm End of Day 1

    AGENDA (DAY 2)

    Date Time Topic
    Day 2
    28th Oct 2016
    Friday 8.30am

    9.00am Generalized Linear Model (GLM)
  • Model- setup (for analyzing normal and non-normal dependent variables; include Logistic, Poisson, Negative Binomial, Gamma and Inverse Gaussian regression)
  • Model assessment
  • Diagnostic checks

  • 10.00am Tea Break

    10.30am Time-to-Event Regression (Survival Regression Models)
  • Cox Regression (proportional hazards and non-proportional hazards)
  • Parametric models (Exponential, Weibull, Gompertz, Log-Logistic and Lognomal etc.)
  • Model assessment
  • Diagnostic checks

  • 12.00pm Lunch

    1.00pm Longitudinal, Panel & Multilevel Regression Analysis
  • Fixed-, Random- & Between-Effect models
  • Population-Averaged Generalized Estimating Equations (GEE)

  • 3.00pm Tea Break

    3.30pm Longitudinal, Panel & Multilevel Regression Analysis (continued)
  • Generalized Linear Mixed Model (GLMM)
  • Generalized Linear Latent & Mixed Model (GLLAMM)

  • 5.00pm End of Day 2


    Pre-Requisite for attending the workshop: Participants must bring their own laptop. Prior to start of the course, instructions will be given on how to install the Stata software for the class. System requirements can be found in the FAQ link below.

    For more information on Frequently Asked Questions , please see : FAQ

    Other useful information :
    Publisher : StataCorp LP
    Stata Singapore Distributor : Columbia CP
    Workshop Organiser : WhizSource Consulting

    You may also contact us with your enquiries at :

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