COURSE ID: I-EB13 LANGUAGE:

USING SIMULATION STUDIES TO EVALUATE STATISTICAL METHODS

Simulation studies are an invaluable tool for statistical research. They help us to understand the properties of statistical methods and to compare different methods. To perform a mea-ningful simulation study, careful thought needs to be put into planning, coding, analysis and interpretation.

This course will help participants to:

Understand the rationale for simulation
Appreciate the importance of careful planning and have a practical framework for planning their own simulation studies
Have the tools to code and debug simple simulation studies in Stata
Know how to analyse simulation studies producing estimates of uncertainty
Present methods and results for publication

Examples will be taken from my experiences in medical statistics. The principles are the same for simulation studies in other applied areas but the examples may be less relevant.

 

Participants should be familiar with Stata. For example, they should know how to generate data, run regression commands and produce simple graphs.

Introductions

Lecture 1: Planning a simulation study
Practical 1: Plan a simulation study

Lecture 2: Coding a simulation study in Stata
Practical 2: Coding a simulation study in Stata

Lecture 3: Analysing simulation studies
Practical 3: Analyse your simulation study and feed back results

Lecture 4: Reporting simulation studies and course summary

We are currently putting the finishing touches to our 2018 training portfolio. Schedule dates for the current year, will therefore be available in due course.

Should you be interested in receiving notification regarding course dates for 2018, please contact us at training@tstat.eu.

 


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Simulation studies are an invaluable tool for statistical research. They help us to understand the properties of statistical methods and to compare different methods. To perform a mea-ningful simulation study, careful thought needs to be put into planning, coding, analysis and interpretation.

 

This course will help participants to: i) Understand the rationale for simulation; ii) Appreciate the importance of careful planning and have a practical framework for planning their own simulation studies; iii) Have the tools to code and debug simple simulation studies in Stata; iv) Know how to analyse simulation studies producing estimates of uncertainty; v) Present methods and results for publication.