Alonso A - Search Results

1

Estimation After a Group Sequential Trial.

Milanzi E, Molenberghs G, Alonso A, Kenward MG, Tsiatis AA, Davidian M, Verbeke G. Milanzi E, et al. Among authors: alonso a. Stat Biosci. 2015 Oct;7(2):187-205. doi: 10.1007/s12561-014-9112-6. Epub 2014 Feb 22. Stat Biosci. 2015. PMID: 26478751 Free PMC article.

2

The impact of a misspecified random-effects distribution on the estimation and the performance of inferential procedures in generalized linear mixed models.

Litière S, Alonso A, Molenberghs G. Litière S, et al. Among authors: alonso a. Stat Med. 2008 Jul 20;27(16):3125-44. doi: 10.1002/sim.3157. Stat Med. 2008. PMID: 18069726

3

Ignoring overdispersion in hierarchical loglinear models: Possible problems and solutions.

Milanzi E, Alonso A, Molenberghs G. Milanzi E, et al. Among authors: alonso a. Stat Med. 2012 Jun 30;31(14):1475-82. doi: 10.1002/sim.4482. Epub 2012 Feb 23. Stat Med. 2012. PMID: 22362329

4

Impact of selection bias on the evaluation of clusters of chemical compounds in the drug discovery process.

Alonso A, Milanzi E, Molenberghs G, Buyck C, Bijnens L. Alonso A, et al. Pharm Stat. 2015 Mar-Apr;14(2):129-38. doi: 10.1002/pst.1665. Epub 2014 Nov 25. Pharm Stat. 2015. PMID: 25420717

5

A new modeling approach for quantifying expert opinion in the drug discovery process.

Alonso A, Milanzi E, Molenberghs G, Buyck C, Bijnens L. Alonso A, et al. Stat Med. 2015 Apr 30;34(9):1590-604. doi: 10.1002/sim.6459. Epub 2015 Feb 23. Stat Med. 2015. PMID: 25705858

6

Exploring the relationship between the causal-inference and meta-analytic paradigms for the evaluation of surrogate endpoints.

Van der Elst W, Molenberghs G, Alonso A. Van der Elst W, et al. Among authors: alonso a. Stat Med. 2016 Apr 15;35(8):1281-98. doi: 10.1002/sim.6807. Epub 2015 Nov 26. Stat Med. 2016. PMID: 26612787

7

Properties of Estimators in Exponential Family Settings with Observation-based Stopping Rules.

Milanzi E, Molenberghs G, Alonso A, Kenward MG, Verbeke G, Tsiatis AA, Davidian M. Milanzi E, et al. Among authors: alonso a. J Biom Biostat. 2016 Feb;7(1):272. doi: 10.4172/2155-6180.1000272. Epub 2016 Jan 25. J Biom Biostat. 2016. PMID: 27175309 Free PMC article.

8

A maximum entropy approach for the evaluation of surrogate endpoints based on causal inference.

Alonso A, Van der Elst W, Molenberghs G. Alonso A, et al. Stat Med. 2018 Dec 20;37(29):4525-4538. doi: 10.1002/sim.7939. Epub 2018 Aug 23. Stat Med. 2018. PMID: 30141219

9

A reflection on the possibility of finding a good surrogate.

Alonso A, Meyvisch P, Van der Elst W, Molenberghs G, Verbeke G. Alonso A, et al. J Biopharm Stat. 2019;29(3):468-477. doi: 10.1080/10543406.2018.1559854. Epub 2019 Jan 26. J Biopharm Stat. 2019. PMID: 30686082

10

Implementing the meta-analytic approach for the evaluation of surrogate endpoints in SAS and R: a word of caution.

Ong F, Wang J, Van der Elst W, Verbeke G, Molenberghs G, Alonso A. Ong F, et al. Among authors: alonso a. J Biopharm Stat. 2022 Sep 3;32(5):705-716. doi: 10.1080/10543406.2021.2011903. Epub 2021 Dec 27. J Biopharm Stat. 2022. PMID: 34958630

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