HEDS is part of the School of Health and Related Research (ScHARR) at the University of Sheffield. We undertake research, teaching, training and consultancy on all aspects of health related decision science, with a particular emphasis on health economics, HTA and evidence synthesis.
Showing posts with label Visit. Show all posts
Showing posts with label Visit. Show all posts

Thursday, 19 October 2017

HEDS attendance at Royal Statistical Society course on Longitudinal and Missing Data

Image of Dr Laura Gray
Dr Laura Gray
Dr Laura Gray recently visited the RSS in London to attend a course on Longitudinal and Missing Data.  She attended the course to gain skills which will be useful in an upcoming grant application to the ESRC new investigator award. The course was led by Professor Geert Verbeke and Professor Geert Molenberghs, both from Katholieke Universiteit Leuven.

Laura successfully obtained funding for the course from the National Centre for Research Methods (NCRM).  Travel and expenses were funded by the MDH faculty career development fund.


Laura found the two-day course very useful and was pleased to see some familiar faces also attending the course, in HEDS doctoral research fellow, Ben Kearns and ScHARR alumni, Dr Amy Whitehead.

Wednesday, 11 October 2017

HEDS international visit to Centre for Infectious Disease Epidemiology and Research

Image of Dr Bell Gorrod with Dr Michael Schomaker, and Professor Mary-Ann Davies
Dr Bell Gorrod with Dr Michael Schomaker,
and Professor Mary-Ann Davies
Dr Helen Bell Gorrod recently visited the Centre for Infectious Disease Epidemiology and Research (CIDER) at the University of Cape Town (UCT). Helen successfully obtained funding for the visit from the Worldwide University Network (WUN) Research Mobility Programme (RMP). 

During the month long visit, Helen worked on a collaborative research project with Dr Michael Schomaker, Professor Mary-Ann Davies and others at UCT. 

The project aimed to assess the impact of delays in viral load testing and treatment switching from first-line to second-line ART treatment regime for HIV patients on hospitalisation and mortality outcomes using causal inference statistical methods.