Steingrimsson JA - Search Results

1

Optimized adaptive enrichment designs for three-arm trials: learning which subpopulations benefit from different treatments.

Steingrimsson JA, Betz J, Qian T, Rosenblum M. Steingrimsson JA, et al. Biostatistics. 2021 Apr 10;22(2):283-297. doi: 10.1093/biostatistics/kxz030. Biostatistics. 2021. PMID: 31420983 Clinical Trial.

2

Improving precision by adjusting for prognostic baseline variables in randomized trials with binary outcomes, without regression model assumptions.

Steingrimsson JA, Hanley DF, Rosenblum M. Steingrimsson JA, et al. Contemp Clin Trials. 2017 Mar;54:18-24. doi: 10.1016/j.cct.2016.12.026. Epub 2017 Jan 4. Contemp Clin Trials. 2017. PMID: 28064029

3

Extending prediction models for use in a new target population with failure time outcomes.

Steingrimsson JA. Steingrimsson JA. Biostatistics. 2023 Jul 14;24(3):728-742. doi: 10.1093/biostatistics/kxac011. Biostatistics. 2023. PMID: 35389429

4

Systematically missing data in causally interpretable meta-analysis.

Steingrimsson JA, Barker DH, Bie R, Dahabreh IJ. Steingrimsson JA, et al. Biostatistics. 2024 Apr 15;25(2):289-305. doi: 10.1093/biostatistics/kxad006. Biostatistics. 2024. PMID: 36977366 Free PMC article.

5

Personalized Risk Prediction in Clinical Oncology Research: Applications and Practical Issues Using Survival Trees and Random Forests.

Hu C, Steingrimsson JA. Hu C, et al. Among authors: steingrimsson ja. J Biopharm Stat. 2018;28(2):333-349. doi: 10.1080/10543406.2017.1377730. Epub 2017 Oct 19. J Biopharm Stat. 2018. PMID: 29048993 Free PMC article.

6

Deep learning for survival outcomes.

Steingrimsson JA, Morrison S. Steingrimsson JA, et al. Stat Med. 2020 Jul 30;39(17):2339-2349. doi: 10.1002/sim.8542. Epub 2020 Apr 13. Stat Med. 2020. PMID: 32281672 Free PMC article.

7

Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders.

Scharfstein DO, Steingrimsson J, McDermott A, Wang C, Ray S, Campbell A, Nunes E, Matthews A. Scharfstein DO, et al. Biometrics. 2022 Jun;78(2):649-659. doi: 10.1111/biom.13455. Epub 2021 Apr 6. Biometrics. 2022. PMID: 33728637 Free PMC article.

8

Regression-based estimation of heterogeneous treatment effects when extending inferences from a randomized trial to a target population.

Robertson SE, Steingrimsson JA, Dahabreh IJ. Robertson SE, et al. Among authors: steingrimsson ja. Eur J Epidemiol. 2023 Feb;38(2):123-133. doi: 10.1007/s10654-022-00901-5. Epub 2023 Jan 10. Eur J Epidemiol. 2023. PMID: 36626100 Free PMC article. Clinical Trial.

9

Survival analysis using deep learning with medical imaging.

Morrison S, Gatsonis C, Eloyan A, Steingrimsson JA. Morrison S, et al. Among authors: steingrimsson ja. Int J Biostat. 2023 Jun 14;20(1):1-12. doi: 10.1515/ijb-2022-0113. eCollection 2024 May 1. Int J Biostat. 2023. PMID: 37312249 Free PMC article.

10

Tree-based subgroup discovery using electronic health record data: heterogeneity of treatment effects for DTG-containing therapies.

Yang J, Mwangi AW, Kantor R, Dahabreh IJ, Nyambura M, Delong A, Hogan JW, Steingrimsson JA. Yang J, et al. Among authors: steingrimsson ja. Biostatistics. 2024 Apr 15;25(2):323-335. doi: 10.1093/biostatistics/kxad014. Biostatistics. 2024. PMID: 37475638 Free PMC article.

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