Detalhe da pesquisa
1.
Hierarchical network meta-analysis models for synthesis of evidence from randomised and non-randomised studies.
BMC Med Res Methodol
; 23(1): 97, 2023 04 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-37087450
2.
Use of copula to model within-study association in bivariate meta-analysis of binomial data at the aggregate level: A Bayesian approach and application to surrogate endpoint evaluation.
Stat Med
; 41(25): 4961-4981, 2022 11 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35932152
3.
Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trials.
BMC Med Res Methodol
; 22(1): 186, 2022 07 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-35818035
4.
Using threshold analysis to assess the robustness of public health intervention recommendations from network meta-analyses: application to accident prevention in households with children under five.
BMC Public Health
; 22(1): 966, 2022 05 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-35562726
5.
Double-counting of populations in evidence synthesis in public health: a call for awareness and future methodological development.
BMC Public Health
; 22(1): 1827, 2022 09 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-36167529
6.
Incorporating single-arm studies in meta-analysis of randomised controlled trials: a simulation study.
BMC Med Res Methodol
; 21(1): 114, 2021 06 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-34082702
7.
Methods for the inclusion of real-world evidence in network meta-analysis.
BMC Med Res Methodol
; 21(1): 207, 2021 10 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-34627166
8.
Bayesian hierarchical meta-analytic methods for modeling surrogate relationships that vary across treatment classes using aggregate data.
Stat Med
; 39(8): 1103-1124, 2020 04 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-31990083
9.
Multivariate network meta-analysis incorporating class effects.
BMC Med Res Methodol
; 20(1): 184, 2020 07 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-32641105
10.
Bivariate network meta-analysis for surrogate endpoint evaluation.
Stat Med
; 38(18): 3322-3341, 2019 08 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-31131475
11.
A matrix-based method of moments for fitting multivariate network meta-analysis models with multiple outcomes and random inconsistency effects.
Biometrics
; 74(2): 548-556, 2018 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-28806485
12.
Bayesian meta-analytical methods to incorporate multiple surrogate endpoints in drug development process.
Stat Med
; 41(30): 5877-5878, 2022 Dec 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-36515222
13.
Publisher Correction: Double-counting of populations in evidence synthesis in public health: a call for awareness and future methodological development.
BMC Public Health
; 22(1): 2301, 2022 Dec 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-36482437
14.
Bayesian meta-analytical methods to incorporate multiple surrogate endpoints in drug development process.
Stat Med
; 35(7): 1063-89, 2016 Mar 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-26530518
15.
Use of Bayesian multivariate meta-analysis to estimate the HAQ for mapping onto the EQ-5D questionnaire in rheumatoid arthritis.
Value Health
; 17(1): 109-15, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-24438724
16.
Network meta-analysis of multiple outcome measures accounting for borrowing of information across outcomes.
BMC Med Res Methodol
; 14: 92, 2014 Jul 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-25047164
17.
Bayesian meta-analysis for evaluating treatment effectiveness in biomarker subgroups using trials of mixed patient populations.
Res Synth Methods
; 2024 Feb 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-38316618
18.
Four alternative methodologies for simulated treatment comparison: How could the use of simulation be re-invigorated?
Res Synth Methods
; 15(2): 227-241, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-38104969
19.
Multivariate meta-analysis of mixed outcomes: a Bayesian approach.
Stat Med
; 32(22): 3926-43, 2013 Sep 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-23630081
20.
Use of implicit and explicit bayesian methods in health technology assessment.
Int J Technol Assess Health Care
; 29(3): 336-42, 2013 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-23863191