Detalhe da pesquisa
1.
Identifying individual predictive factors for treatment efficacy.
Biometrics;
78(1): 35-45, 2022 03.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33128231
2.
Implementing the meta-analytic approach for the evaluation of surrogate endpoints in SAS and R: a word of caution.
J Biopharm Stat;
32(5): 705-716, 2022 Sep 03.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34958630
3.
Identifying predictive biomarkers of CIMAvaxEGF success in non-small cell lung cancer patients.
BMC Cancer;
20(1): 772, 2020 Aug 17.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32807114
4.
On the relationship between association and surrogacy when both the surrogate and true endpoint are binary outcomes.
Stat Med;
39(26): 3867-3878, 2020 11 20.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32875590
5.
A reflection on the causal interpretation of individual-level surrogacy.
J Biopharm Stat;
29(3): 529-540, 2019.
Artigo
em Inglês
| MEDLINE
| ID: mdl-30773114
6.
A reflection on the possibility of finding a good surrogate.
J Biopharm Stat;
29(3): 468-477, 2019.
Artigo
em Inglês
| MEDLINE
| ID: mdl-30686082
7.
Assessing the predictive value of a binary surrogate for a binary true endpoint based on the minimum probability of a prediction error.
Pharm Stat;
18(3): 304-315, 2019 05.
Artigo
em Inglês
| MEDLINE
| ID: mdl-30575256
8.
A maximum entropy approach for the evaluation of surrogate endpoints based on causal inference.
Stat Med;
37(29): 4525-4538, 2018 12 20.
Artigo
em Inglês
| MEDLINE
| ID: mdl-30141219
9.
Assessing a surrogate predictive value: a causal inference approach.
Stat Med;
36(7): 1083-1098, 2017 03 30.
Artigo
em Inglês
| MEDLINE
| ID: mdl-27966231
10.
An information-theoretic approach for the evaluation of surrogate endpoints based on causal inference.
Biometrics;
72(3): 669-77, 2016 09.
Artigo
em Inglês
| MEDLINE
| ID: mdl-26864244
11.
Exploring the relationship between the causal-inference and meta-analytic paradigms for the evaluation of surrogate endpoints.
Stat Med;
35(8): 1281-98, 2016 Apr 15.
Artigo
em Inglês
| MEDLINE
| ID: mdl-26612787
12.
Statistical evaluation of surrogate endpoints with examples from cancer clinical trials.
Biom J;
58(1): 104-32, 2016 Jan.
Artigo
em Inglês
| MEDLINE
| ID: mdl-25682941
13.
On the relationship between the causal-inference and meta-analytic paradigms for the validation of surrogate endpoints.
Biometrics;
71(1): 15-24, 2015 Mar.
Artigo
em Inglês
| MEDLINE
| ID: mdl-25274284
14.
A new modeling approach for quantifying expert opinion in the drug discovery process.
Stat Med;
34(9): 1590-604, 2015 Apr 30.
Artigo
em Inglês
| MEDLINE
| ID: mdl-25705858
15.
Impact of selection bias on the evaluation of clusters of chemical compounds in the drug discovery process.
Pharm Stat;
14(2): 129-38, 2015.
Artigo
em Inglês
| MEDLINE
| ID: mdl-25420717
16.
Ignoring overdispersion in hierarchical loglinear models: Possible problems and solutions.
Stat Med;
31(14): 1475-82, 2012 Jun 30.
Artigo
em Inglês
| MEDLINE
| ID: mdl-22362329
17.
An information-theoretic approach to surrogate-marker evaluation with failure time endpoints.
Lifetime Data Anal;
17(2): 195-214, 2011 Apr.
Artigo
em Inglês
| MEDLINE
| ID: mdl-20878357
18.
A unified approach to multi-item reliability.
Biometrics;
66(4): 1061-8, 2010 Dec.
Artigo
em Inglês
| MEDLINE
| ID: mdl-20070298
19.
The Functional Living Index-Cancer: estimating its reliability based on clinical trial data.
Qual Life Res;
19(1): 103-9, 2010 Feb.
Artigo
em Inglês
| MEDLINE
| ID: mdl-20054656
20.
Evaluation of biomarkers for pharmacological activity.
J Biopharm Stat;
19(2): 256-72, 2009.
Artigo
em Inglês
| MEDLINE
| ID: mdl-19212878