Detalhe da pesquisa
1.
Bayesian inference for prediction of survival probability in prime-boost vaccination regimes.
Stat Med
; 43(3): 560-577, 2024 02 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-38109707
2.
Stability analysis using mixed models: A critique of tolerance interval methods and a probabilistic solution.
Pharm Stat
; 22(5): 784-796, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37164770
3.
The current state of Bayesian methods in nonclinical pharmaceutical statistics: Survey results and recommendations from the DIA/ASA-BIOP Nonclinical Bayesian Working Group.
Pharm Stat
; 20(2): 245-255, 2021 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-33025743
4.
TOPOGRAPHIC ANALYSIS OF PHOTORECEPTOR LOSS CORRELATED WITH DISEASE MORPHOLOGY IN NEOVASCULAR AGE-RELATED MACULAR DEGENERATION.
Retina
; 40(11): 2148-2157, 2020 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-31842189
5.
Using accelerated drug stability results to inform long-term studies in shelf life determination.
Stat Med
; 37(17): 2599-2615, 2018 07 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-29766536
6.
Bayesian assurance and sample size determination in the process validation life-cycle.
J Biopharm Stat
; 27(1): 159-174, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-26891342
7.
"A Bayesian sensitivity analysis to evaluate the impact of unmeasured confounding with external data: a real world comparative effectiveness study in osteoporosis".
Pharmacoepidemiol Drug Saf
; 25(9): 982-92, 2016 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-27396534
8.
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
9.
Bayesian modeling of cost-effectiveness studies with unmeasured confounding: a simulation study.
Pharm Stat
; 13(1): 94-100, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-24446072
10.
Evaluating the impact of unmeasured confounding with internal validation data: an example cost evaluation in type 2 diabetes.
Value Health
; 16(2): 259-66, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23538177
11.
Bayesian sample size determination for a clinical trial with correlated continuous and binary outcomes.
J Biopharm Stat
; 23(4): 790-803, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23786161
12.
Comparison of Bayesian and frequentist meta-analytical approaches for analyzing time to event data.
J Biopharm Stat
; 23(1): 129-45, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23331227
13.
Topical Anti-TNFα Agent Licaminlimab (OCS-02) Relieves Persistent Ocular Discomfort in Severe Dry Eye Disease: A Randomized Phase II Study.
Clin Ophthalmol
; 16: 2167-2177, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35821785
14.
Topical Ocular Anti-TNFα Agent Licaminlimab in the Treatment of Acute Anterior Uveitis: A Randomized Phase II Pilot Study.
Transl Vis Sci Technol
; 11(6): 14, 2022 06 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35704329
15.
Performance and sample size requirements of Bayesian methods for binary outcomes in fixed-dose combination drug studies.
J Biopharm Stat
; 19(1): 120-32, 2009.
Artigo
em Inglês
| MEDLINE | ID: mdl-19127471
16.
Binary regression with misclassified response and covariate subject to measurement error: a bayesian approach.
Biom J
; 50(1): 123-34, 2008 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-18283683
17.
A Bayesian Approach to Determination of F, D, and Z Values Used in Steam Sterilization Validation.
PDA J Pharm Sci Technol
; 71(2): 88-98, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-27789802
18.
Earliest archaeological evidence of persistent hominin carnivory.
PLoS One
; 8(4): e62174, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23637995
19.
A Bayesian approach to adjust for diagnostic misclassification between two mortality causes in Poisson regression.
Stat Med
; 27(13): 2440-52, 2008 Jun 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-17979218
20.
Prediction of healing for postoperative diabetic foot wounds based on early wound area progression.
Diabetes Care
; 31(1): 26-9, 2008 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-17934156