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Statistical Methods in Economic Evaluation for HTA - Advanced

University of York / Centre for Health Economics
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20.03.2019 - 22.03.2019  York, United Kingdom
 
Course Content
Intended for people who wish to learn how to apply (and interpret the results of) more advanced techniques for the analysis of data collected alongside both experimental (e.g. RCTs) and observational (sometimes referred to as “real-world”) studies, where the objective is to estimate within-study quantities (e.g. differential mean costs) or to derive key input parameters to populate economic evaluation models for HTA. The course includes a mixture of taught modules and practical exercises.
Learning objectives, training objectives
By the end of the course, participants will be able to:
apply a range of regression methods suitable for health economic evaluation, report & present the output from such analyses to policy makers,
have experience in applying regression methods.
Qualifications
Practical exercises will be conducted in Stata® to help participants appreciate how the methods described during the lectures can be used in real life. Some prior knowledge of Stata® is recommended to be able to maximise the learning opportunity.
Notes
The course will take place in a computer laboratory within the University of York campus and each participant will have access to a PC the latest version of the Stata® software installed.
 

Enquiries and Registration:

Please register via: https://www.york.ac.uk/che/courses/statistical-methods/#tab-4
Ms. Linda Baillie (StatMeth)
 
Categories
Clinical Research
Type of degree
Certificate of attendance
Duration
3 Days
Languages
English
Fees
Course Fees and Registration: https://www.york.ac.uk/che/courses/statistical-methods/#tab-4
Number of participants (max.)
30
Organizer contact info
Alcuin A Block, Heslington
YO10 5DD York
United Kingdom
 
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