[HTML][HTML] Making health economic models Shiny: A tutorial
R Smith, P Schneider - Wellcome open research, 2020 - ncbi.nlm.nih.gov
Health economic evaluation models have traditionally been built in Microsoft Excel, but more
sophisticated tools are increasingly being used as model complexity and computational …
sophisticated tools are increasingly being used as model complexity and computational …
Health economic evaluation using Markov models in R for Microsoft excel users: a tutorial
A health economic evaluation (HEE) is a comparative analysis of alternative courses of
action in terms of both costs and consequences. A cost-effectiveness analysis is a type of …
action in terms of both costs and consequences. A cost-effectiveness analysis is a type of …
An integrated framework for assessment of smart city resilience
H Khatibi, S Wilkinson, G Eriwata… - … and Planning B …, 2022 - journals.sagepub.com
Cities are becoming smarter in their functions; however, they are not necessarily resilient
and able to survive the impact of disasters. An integrated, smart and resilient city is a quest …
and able to survive the impact of disasters. An integrated, smart and resilient city is a quest …
Gradient boosted tree approaches for mapping European organization for research and treatment of cancer quality of life questionnaire core 30 onto 5-level version of …
Objectives This study aimed to develop direct and response mapping algorithms from the
European Organization for Research and Treatment of Cancer Quality of Life Questionnaire …
European Organization for Research and Treatment of Cancer Quality of Life Questionnaire …
[HTML][HTML] Software with artificial intelligence-derived algorithms for analysing CT brain scans in people with a suspected acute stroke: a systematic review and cost …
M Westwood, B Ramaekers, S Grimm… - Health Technology …, 2024 - ncbi.nlm.nih.gov
BACKGROUND Artificial intelligence-derived software technologies have been developed
that are intended to facilitate the review of computed tomography brain scans in patients with …
that are intended to facilitate the review of computed tomography brain scans in patients with …
# SharingHEOR: Developing Modern Media for Communication and Dissemination of Health Economics and Outcomes Research
DR Wright, M Batista, T Wrightson - Applied Health Economics and Health …, 2024 - Springer
Questions regarding the effectiveness and safety of health interventions and allocation of
health care resources are frequently discussed in mainstream and social media …
health care resources are frequently discussed in mainstream and social media …
Cost-effectiveness of adjuvant icotinib versus chemotherapy for patients with stage II–IIIA EGFR-mutated non-small cell lung cancer in China
L Mu, F Liu, Y Fang, M He, M Yang - BMJ open, 2024 - bmjopen.bmj.com
Objective Icotinib has been approved for adjuvant treatment of stage II–IIIA non-small cell
lung cancer (NSCLC) patients with activating epidermal growth factor receptor (EGFR) …
lung cancer (NSCLC) patients with activating epidermal growth factor receptor (EGFR) …
Barriers and Facilitators of Using R for Decision Analytic Modeling in Health Technology Assessment: Focus Group Results
Methods We undertook two semi-structured focus group discussions with 24 key
stakeholders from government agencies, consultancy, pharmaceutical companies, and …
stakeholders from government agencies, consultancy, pharmaceutical companies, and …
NICE's Pathways Pilot: Pursuing Good Decision Making in Difficult Circumstances
D Lee, D Burns, E Wilson - PharmacoEconomics-open, 2024 - Springer
The National Institute for Health and Care Excellence (NICE) announced their pathways
pilot at the end of 2022 as part of a wider work programme aiming for a more proportionate …
pilot at the end of 2022 as part of a wider work programme aiming for a more proportionate …
Validating Health Economic Models With the Probabilistic Analysis Check dashBOARD
XGLV Pouwels, K Kroeze, N van der Linden, MMA Kip… - Value in Health, 2024 - Elsevier
Objectives Health economic (HE) models are often considered as “black boxes” because
they are not publicly available and lack transparency, which prevents independent scrutiny …
they are not publicly available and lack transparency, which prevents independent scrutiny …