Detalhe da pesquisa
1.
An Overview of Current Methods for Real-world Applications to Generalize or Transport Clinical Trial Findings to Target Populations of Interest.
Epidemiology
; 34(5): 627-636, 2023 09 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-37255252
2.
Use of pharmacodynamic modeling for Bayesian information borrowing in pediatric clinical trials.
J Biopharm Stat
; 33(6): 726-736, 2023 11 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-36524777
3.
Empirical bayes approach for dynamic bayesian borrowing for clinical trials in rare diseases.
J Pharmacokinet Pharmacodyn
; 50(6): 495-499, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37148459
4.
Joint modelling and simulation of M-protein dynamics and progression-free survival for alternative isatuximab dosing with pomalidomide/dexamethasone.
Br J Clin Pharmacol
; 88(5): 2052-2064, 2022 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-34705283
5.
Matching-adjusted indirect comparisons: Application to time-to-event data.
Stat Med
; 40(3): 566-577, 2021 02 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-33111986
6.
Comparison of statistical methodologies used to estimate the treatment effect on time-to-event outcomes in observational studies.
J Biopharm Stat
; 31(4): 469-489, 2021 07 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-34403296
7.
Design optimization for dose-finding trials: a review.
J Biopharm Stat
; 30(4): 662-673, 2020 07 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-32183578
8.
Evaluation of non-linear-mixed-effect modeling to reduce the sample sizes of pediatric trials in type 2 diabetes mellitus.
J Pharmacokinet Pharmacodyn
; 47(1): 59-67, 2020 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-31907713
9.
Cardiac risk assessment based on early Phase I data and PK-QTc analysis is concordant with the outcome of thorough QTc trials: an assessment based on eleven drug candidates.
J Pharmacokinet Pharmacodyn
; 46(6): 617-626, 2019 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-31667657
10.
Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patients.
Biometrics
; 73(1): 305-312, 2017 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-27148956
11.
Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancer.
BMC Med Res Methodol
; 17(1): 105, 2017 Jul 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-28716060
12.
Model averaging inconcentration-QT analyses.
Pharm Stat
; 15(6): 450-458, 2016 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-27492846
13.
Development and validation of a predictive model to guide the use of plerixafor in pediatric population.
Bone Marrow Transplant
; 57(12): 1827-1832, 2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-36163427
14.
Exposure-response analyses for selection/confirmation of optimal isatuximab dosing regimen in combination with pomalidomide/dexamethasone treatment in patients with multiple myeloma.
CPT Pharmacometrics Syst Pharmacol
; 11(6): 766-777, 2022 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-35355430
15.
Comment on: Cheng, Chow, Burt, and Cosmatos (2008). Statistical assessment of QT/QTc prolongation based on maximum of correlated normal random variables. Journal of Biopharmaceutical Statistics 18(3):494-501.
J Biopharm Stat
; 20(5): 1071-3; author reply 1074, 2010 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-20721792
16.
A drug and disease model for lixisenatide, a GLP-1 receptor agonist in type 2 diabetes.
J Clin Pharmacol
; 54(3): 267-78, 2014 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-24122776