Stata Health Research Summer School

Advanced training

27 Jun-1 Jul 2016, ISEG - Lisbon School of Economics & Management

Description

Timberlake Portugal and Cemapre (University of Lisbon) are jointly organising this five-day Summer 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, follwed by a presentation of several statistical models, for both cross-sectional and longitudinal data.

Day 1: Introduction to Statistics and Data Management (Nicoletta Rosati)
Stata Basics, Data Manipulation, Descriptive Statistics and Simple Tables, Linear Regression

Day 2: Statistical Models in Health Research (Mónica Inês)
Logistic Regression, Time-to-event data, Graphs and Data Visualization

Day 3: Systematic Reviews and Meta-Analysis (Jõao Costa)
Introduction to Systematic Reviews, Meta-Analysis, Results Presentation

Day 4: Multilevel Models for Longitudinal Data - part I (Maria Eugénia Ferrão & Fabiana Gordon)
Longitudinal Data, Continuous Outcomes, Stata Mixed Models, Models for the Mean, Covariance Pattern Models

Day 5: Multilevel Models for Longitudinal Data - part II (Maria Eugénia Ferrão & Fabiana Gordon)
Random Coefficients Models, Model Comparison, GEE models

Organizers:

João Costa (FMUL), Maria Eugénia Ferrão (Universidade da Beira Interior), Fabiana Gordon (Imperial College), Mónica Inês (Pfizer) and Nicoletta Rosati (Universidade de Lisboa)

Outline

Day 1: Introduction to Statistics and Data Management
Session 1 - Stata Basics
Reading and writing datasets 
Labelling datasets and variables 
Variable and data manipulation (recoding, renaming ...)

Session 2 - Data Manipulation 
Combining datasets (collapse, append, merge, and reshape) 
Indexing and the use of _n and _N 

Session 3 - Descriptive Statistics and Simple Tables
Descriptive statistics of different types of variables (nominal, ordinal, interval ...)
Epidemiological tables 

Session 4 - Linear Regression 
Categorical predictors - factor variables
Multiple regression (dummy variables, interaction terms ...)
Regression diagnostics and post-estimation 
Computing and interpreting marginal effects 

Day 2: Statistical Models in Health Research
Session 1 - Logistic Regression
Logit models 
Ordered logit models 
Computing and interpreting marginal effects 

Session 2 - Time-to-event data
The Kaplan-Meier survival function 
Log-Rank test 
Cox proportional hazards regression 

Session 3 - Graphs and Data Visualization 
Introduction to graphs in Stata 
Creating, editing and combing graphs 

Session 4 - Practical session

Day 3: Systematic Reviews and Meta-Analysis
Session 1 - Introduction to Systematic Reviews
Levels of evidence 
Systematic reviews versus narrative reviews 
Outline the process of undertaking a systematic review 
Meta-analysis versus systematic reviews 

Session 2 - Meta-Analysis
Steps of conducting a meta-analysis 
Elements of a forest plot and interpreting the results 
Types of data 
Heterogeneity 
Sensitivity analysis 

Session 3 - Results Presentation 
Practical exercise (1): Critical appraisal of a systematic review with meta-analysis 

Session 4 - Practical session
Practical exercise (2): Collect data from studies and run a meta-analysis 

Day 4: Multilevel Models for Longitudinal Data - part I
Session 1 - Longitudinal Data
Features of Longitudinal Data

Session 2 - Continuous Outcomes
Longitudinal analysis for continuous outcomes

Session 3 - Stata Mixed Models
Longitudinal data layout for Stata Mixed Models

Session 4 - Exploring Longitudinal Data
Exploring Longitudinal Data
Covariance Pattern Models

Day 5: Multilevel Models for Longitudinal Data - part II
Session 1 - Random Coefficients Models
Random Coefficients Models

Session 2 - Model Comparison
Model Comparison

Session 3 -  GEE Models
GEE models
Applications to a continuous and a binary outcome measure

Session 4 - Practical
Worked example to compare the methods taught in the course

Schedule

TimeDay 1:
Introduction to Statistics
and Data Management		Day 2:
Statistical Models
in Health Research		Day 3:
Systematic Reviews
and Meta-Analysis		Day 4:
Multilevel Models for
Longitudinal Data I
Day 5:
Multilevel Models for
Longitudinal Data II
09:00-09:20RegistrationRegistrationRegistrationRegistrationRegistration
09:30-11:00S1: Stata BasicsS1: Logistic RegressionS1: Introduction to
Systematic Reviews		S1: Features of Longitudinal
Data		S1: Random Coefficients
Models
11:00-11:15Tea/coffee breakTea/coffee breakTea/coffee breakTea/coffee breakTea/coffee break
11:15-12:45S2: Data ManipulationS2: Time-to-event dataS2: Meta-AnalysisS2: Continuous OutcomesS2: Model Comparison
12:45-14:00 LunchLunchLunchLunchLunch
14:00-15:15S3: Descriptive Statistics
and simple Tables		S3: Graphs and Data
Visualisation		S3: Results PresentationS3: Stata Mixed ModelsS3: GEE models
15:15-15:30 Tea/coffee break
(Feedback Session) 		Tea/coffee break
(Feedback Session) 		Tea/coffee break
(Feedback Session) 		Tea/coffee break
(Feedback Session) 		Tea/coffee break
(Feedback Session)
15:30-17:00S4: Linear RergessionS4: Practical SessionS4: Practical SessionS4: Exploring Longitudinal DataS4: Practical Session

Target audience

This course is tailored for health researchers who would like to expand their knowledge in econometrics with a direct application in Stata software.

Bibliography

Juul, S & Frydenberg, M. (2014). An Introduction to Stata for Health Researchers, 4th edition. Stata Press
Diggle, P.J., Heagerty, P., Liang K-Y. and Zeger, S.L. (2002). Analysis of Longitudinal Data (second edition). Oxford: Oxford University Press.
Hedeker, D.and Gibbons R.D (2006). Longitudinal data Analysis. Wiley, John & Sons.

Price

Students Academics Other
550550890

Observations

Reduced rates apply as follows (Students and Academics/Other):
1 day: 185/310 EUR
2 days: 310/485 EUR
3 days: 410/645 EUR
4 days: 490/800 EUR

Learning Ratio: 50% Theory, 35% Demonstration and 15% Practical

Contacts

Timberlake Consultores

Tagus Park - Edifício Núcleo Central - Escritório 077
(2740-122 Oeiras)
Email: training@timberlake.pt
Tel: (+351) 21 424 01 43


Local information with:

CEMAPRE - Centre for Applied Mathematics and Economics

Rua do Quelhas, n.º 6
1200-781 Lisboa
Email: cemapre@iseg.ulisboa.pt
Tel: (+351) 213 925 876

Visit the official event webpage