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Health Research Winter School using Stata

  • Duration: 5 days (29th January 2018 - 2nd February 2018)
  • Software: Stata
  • Level: Intermediate, Introductory
  • Delivered By: Filipa Duarte-Ramos, PhD (FFUL); Mónica Inês, MSc (PFIZER); Aurelio Tobías, MSc, PhD (CSIC); João Costa, MD, PhD (FMUL)
  • Topic: Meta-analysis, Statistics, Survival analysis
Health Research Winter School using Stata

Timberlake Portugal and Pharmacy Faculty (University of Lisbon) are jointly organising this five-day Winter School, presenting a set of statistical and econometric tools essential for the health researcher, with a direct application in Stata software. Many of the topics covered are of interest of real-world data analyses. The course includes a revision of data management skills in Stata, followed by a presentation of several statistical models, for both cross-sectional and longitudinal data. 

The Winter School aims to provide the full set of tools and techniques that any modern applied health researcher needs to know. Participants will learn the techniques properly using the software Stata.

Target

Academic Staff, Masters / PHD students and professionals that need to analyze data. It aims to offer an effective way to reach an intermediate level of econometric analysis. Therefore, in order to get the most out of the course, basic knowledge of statistics and econometrics is required. The course will be taught in English.

 

The courses forming the 2018 Health Research Winter School using Stata are:

  • Day 1: Introduction to Statistics and Data Management
  • Day 2: Statistical Models in Health Research
  • Day 3: Survival Analysis
  • Day 4: Repeated Measures Analysis
  • Day 5: Systematic Reviews and Meta-Analysis

Click here to view the complete course agendas, schedule information, and suggested pre course reading list. 

 

Prices includes:

  • Coffee breaks (morning and afternoon)
  • Light lunch
  • 1 Stata Press book (choose one of the references)

Day 1 - Introduction to Statistics and Data Management (Filipa Duarte-Ramos & Mónica Inês)

Stata Basics - menu and .do files
Data Manipulation
Descriptive Statistics and Simple Tables

Day 2 - Statistical Models in Health Research (Mónica Inês & Filipa Duarte-Ramos)

Linear Regression
Logistic Regression
Results Interpretation

Day 3 - Survival Analysis (Aurelio Tobias)

Kaplan-Meier survival function
Poisson Regression & Cox Regression
Time-dependent variables
Results and Interpretation

Day 4 - Repeated Measures Analysis (Aurelio Tobias)

Features of Longitudinal Data;
Exploring Longitudinal Data;
Fixed & Random effects models;
Mixed models;
Covariance structures.

Day 5 - Systematic Reviews and Meta-Analysis (João Costa & Mónica Inês)

Introduction to Systematic Reviews;
Meta-Analysis;
Results and Presentation.

Knowledge of using other statistical software is an advantage but not necessary.

Prior knowledge of Stata is not required but is helpful.

An Introduction to Stata for Health Researchers, 4th Edition (Svend Juul and Morten Frydenberg)

Health Econometrics Using Stata (Partha Deb, Edward C. Norton, Willard G. Manning)

Meta-Analysis in Stata: An Updated Collection from the Stata Journal, 2nd Edition (Tom M. Palmer and Jonathan A. C. Sterne)

A Gentle Introduction to Stata, 5th Edition (Alan C. Acock)

One Hundred Nineteen Stata Tips, Third Edition (Nicholas J. Cox and H. Joseph Newton)

Regression Models for Categorical Dependent Variables using Stata, 3rd Edition (J. Scott Long and Jeremy Freese)

An Introduction to Stata Programming, 2nd Edition (Christopher Baum)

Introduction to Time Series using Stata (Sean Becketti)

Data Analysis using Stata, 3rd Edition (Ulrich Kohler and Frauke Kreuter)

  • 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.
  • Cost includes course materials, lunch and refreshments.
  • 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, laptops can be hired for a fee of £10.00 (ex. VAT) per day).
  • If you need assistance in locating hotel accommodation in the region, please notify us at the time of booking.
  • 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
    1 Day pass (29/01/2018 - 02/02/2018)
    2 Day pass (29/01/2018 - 02/02/2018)
    3 Day pass (29/01/2018 - 02/02/2018)
    4 Day pass (29/01/2018 - 02/02/2018)
    5 Day pass (29/01/2018 - 02/02/2018)

All prices exclude VAT or local taxes where applicable.

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