Detalhe da pesquisa
1.
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis.
J Biomed Inform
; 154: 104641, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38642627
2.
Predicting subgroup treatment effects for a new study: Motivations, results and learnings from running a data challenge in a pharmaceutical corporation.
Pharm Stat
; 2024 Feb 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-38326967
3.
Comparing algorithms for characterizing treatment effect heterogeneity in randomized trials.
Biom J
; 2022 Nov 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-36437036
4.
Using knockoffs for controlled predictive biomarker identification.
Stat Med
; 40(25): 5453-5473, 2021 11 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34328655
5.
Sequential knockoffs for continuous and categorical predictors: With application to a large psoriatic arthritis clinical trial pool.
Stat Med
; 40(14): 3313-3328, 2021 06 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-33899260
6.
Model averaging for treatment effect estimation in subgroups.
Pharm Stat
; 16(2): 133-142, 2017 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-27935199
7.
A Bayesian hierarchical surrogate outcome model for multiple sclerosis.
Pharm Stat
; 15(4): 341-8, 2016 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-27061897
8.
A flexible Bayesian approach for modeling monotonic dose-response relationships in drug development trials.
J Biopharm Stat
; 25(1): 137-56, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-24836192
9.
Characterization of dose-response for count data using a generalized MCP-Mod approach in an adaptive dose-ranging trial.
Pharm Stat
; 14(4): 359-67, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26083135
10.
A practical guide to Bayesian group sequential designs.
Pharm Stat
; 13(1): 71-80, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-24038922
11.
The current state of Bayesian methods in medical product development: survey results and recommendations from the DIA Bayesian Scientific Working Group.
Pharm Stat
; 13(1): 3-12, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-24027093
12.
Guidance on the implementation and reporting of a drug safety Bayesian network meta-analysis.
Pharm Stat
; 13(1): 55-70, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-24038897
13.
All that Glitters Is not Gold: Type-I Error Controlled Variable Selection from Clinical Trial Data.
Clin Pharmacol Ther
; 115(4): 774-785, 2024 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-38419357
14.
Methodology for Good Machine Learning with Multi-Omics Data.
Clin Pharmacol Ther
; 115(4): 745-757, 2024 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-37965805
15.
Bayesian modeling and inference for clinical trials with partial retrieved data following dropout.
Stat Med
; 32(24): 4180-95, 2013 Oct 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-23620446
16.
A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs).
PLoS One
; 18(7): e0280316, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37410795
17.
Safety of formoterol in adults and children with asthma: a meta-analysis.
Ann Allergy Asthma Immunol
; 107(1): 71-8, 2011 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-21704888
18.
Bayesian models for subgroup analysis in clinical trials.
Clin Trials
; 8(2): 129-43, 2011 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-21282293
19.
Components of variance in a multicentre functional MRI study and implications for calculation of statistical power.
Hum Brain Mapp
; 29(10): 1111-22, 2008 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-17680602
20.
Use of the false discovery rate when comparing multiple health care providers.
J Clin Epidemiol
; 61(3): 232-240, 2008 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-18226745