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Subject:
Emisor:
AES ECONSALUD <[log in para visualizar]>
Reply To:
Economía de la Salud <[log in para visualizar]>
Fecha:
Tue, 17 Mar 2020 19:45:33 +0100
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***Enrolment is open for the University of Glasgow's Health Economics & Health Technology Assessment (HEHTA) Semester 3, April 2020 online Health Technology Assessment (HTA) courses***
***We offer discounts to academic institutions, groups (5%-20%) & participants from low- and middle-income countries (40%)***
To book, please email [log in para visualizar]

HEALTH ECONOMICS FOR HTA

Purpose: This course will deliver the fundamentals of health economics and the practical elements of economic evaluation that are integral to health technology assessment.

Content: key concepts of economics, economic characteristics of health care, economic evaluation techniques, sensitivity analysis, health economics informing decision making.

Course Co-ordinator: Dr Kathleen Boyd, Senior Lecturer in Health Economics

Find out more & book: https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbit.ly%2F2U7ByjT&amp;data=02%7C01%7Cb.hollingsworth%40lancaster.ac.uk%7Cc4e41a4447824815891b08d7bf7b5220%7C9c9bcd11977a4e9ca9a0bc734090164a%7C1%7C0%7C637188408694149196&amp;sdata=kCHP%2Fi2Wzff3N6712EF2N0R%2FoHN%2FQihkvgYS8jfwhKI%3D&amp;reserved=0

DATA SCIENCE - IDENTIFYING, COMBINING AND ANALYSING HEALTH DATA SETS

Purpose: The course delivers core components of identifying, combining and analysing routinely collected health data. It will cover aspects of information governance and disclosure control, as well as focus on data management, manipulation and advanced methods of data analysis. The course module is aimed at health, social and clinical researchers, who wish to learn techniques and skills to analyse linked health data.

Content: The use of observational data in HTA, information governance and disclosure control, theoretical principles of data linkage methods, sources of bias and measurement error in administrative health data, data management and manipulation of datasets with different structures, methods to adjust for confounding in comparative effectiveness analysis when using observational data, advanced survival analysis techniques.

Course Co-ordinator: Lecturer Dr Claudia Geue

Find out more & book: https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbit.ly%2F2U7D3ib&amp;data=02%7C01%7Cb.hollingsworth%40lancaster.ac.uk%7Cc4e41a4447824815891b08d7bf7b5220%7C9c9bcd11977a4e9ca9a0bc734090164a%7C1%7C0%7C637188408694149196&amp;sdata=WkQrrHvtabJ7X7%2Bb2U5uGgFfF3XjvByRA9HmnpZQyDs%3D&amp;reserved=0

To enquire, please email [log in para visualizar]

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