Machine Learning Methods to Estimate Individualised Treatment Effects for Use in Health Technology Assessment

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Access to Document

HTx: Next Generation HTA
Manca, A. (Principal investigator), Iglesias Urrutia, C. P. (Co-investigator), Kreif, N. (Co-investigator), Rothery, C. (Co-investigator), Smith, A. (Co-investigator) & Yu, G. (Co-investigator)
EUROPEAN COMMISSION
1/01/19 → 30/06/24
Project: Research project (funded) › Research

@article{5d4c490994c24d9ba51e7c8eac599dd9,

title = "Machine Learning Methods to Estimate Individualised Treatment Effects for Use in Health Technology Assessment",

author = "Yingying Zhang and Noemi Kreif and {S. Gc}, Vijay and Andrea Manca",

note = "{\textcopyright} The Author(s) 2024 ",

year = "2024",

month = jul,

day = "26",

doi = "10.1177/0272989X241263356",

language = "English",

journal = "Medical Decision Making",

issn = "0272-989X",

publisher = "SAGE",

}

TY - JOUR

T1 - Machine Learning Methods to Estimate Individualised Treatment Effects for Use in Health Technology Assessment

AU - Zhang, Yingying

AU - Kreif, Noemi

AU - S. Gc, Vijay

AU - Manca, Andrea

PY - 2024/7/26

Y1 - 2024/7/26

U2 - 10.1177/0272989X241263356

DO - 10.1177/0272989X241263356

M3 - Article

SN - 0272-989X

JO - Medical Decision Making

JF - Medical Decision Making

ER -