Detalhe da pesquisa
1.
Using automated text classification to explore uncertainty in NICE appraisals for drugs for rare diseases.
Int J Technol Assess Health Care
; 40(1): e5, 2024 Jan 05.
Artigo
Inglês
| MEDLINE | ID: mdl-38178720
2.
How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review.
BMC Med Res Methodol
; 20(1): 134, 2020 05 29.
Artigo
Inglês
| MEDLINE | ID: mdl-32471366
3.
Comparative effectiveness of second line oral antidiabetic treatments among people with type 2 diabetes mellitus: emulation of a target trial using routinely collected health data.
BMJ
; 385: e077097, 2024 05 08.
Artigo
Inglês
| MEDLINE | ID: mdl-38719492
4.
Improving transportability of randomized controlled trial inference using robust prediction methods.
Stat Methods Med Res
; 32(12): 2365-2385, 2023 12.
Artigo
Inglês
| MEDLINE | ID: mdl-37936293
5.
Can the application of machine learning to electronic health records guide antibiotic prescribing decisions for suspected urinary tract infection in the Emergency Department?
PLOS Digit Health
; 2(6): e0000261, 2023 Jun.
Artigo
Inglês
| MEDLINE | ID: mdl-37310941
6.
Development of risk prediction models to predict urine culture growth for adults with suspected urinary tract infection in the emergency department: protocol for an electronic health record study from a single UK university hospital.
Diagn Progn Res
; 4: 15, 2020.
Artigo
Inglês
| MEDLINE | ID: mdl-32974424
7.
Methods for Handling Unobserved Covariates in a Bayesian Update of a Cost-effectiveness Model.
Med Decis Making
; 38(2): 150-162, 2018 02.
Artigo
Inglês
| MEDLINE | ID: mdl-29202637