Textor J - Search Results

1

Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations.

Tennant PWG, Murray EJ, Arnold KF, Berrie L, Fox MP, Gadd SC, Harrison WJ, Keeble C, Ranker LR, Textor J, Tomova GD, Gilthorpe MS, Ellison GTH. Tennant PWG, et al. Among authors: textor j. Int J Epidemiol. 2021 May 17;50(2):620-632. doi: 10.1093/ije/dyaa213. Int J Epidemiol. 2021. PMID: 33330936 Free PMC article. Review.

2

Flow rate resonance of actively deforming particles.

Parisi DR, Wiebke LE, Mandl JN, Textor J. Parisi DR, et al. Among authors: textor j. Sci Rep. 2023 Jun 10;13(1):9455. doi: 10.1038/s41598-023-36182-5. Sci Rep. 2023. PMID: 37301896 Free PMC article.

3

CelltrackR: An R package for fast and flexible analysis of immune cell migration data.

Wortel IMN, Liu AY, Dannenberg K, Berry JC, Miller MJ, Textor J. Wortel IMN, et al. Among authors: textor j. Immunoinformatics (Amst). 2021 Oct;1-2:100003. doi: 10.1016/j.immuno.2021.100003. Epub 2021 Jul 31. Immunoinformatics (Amst). 2021. PMID: 37034276 Free PMC article.

4

Robust causal inference using directed acyclic graphs: the R package 'dagitty'.

Textor J, van der Zander B, Gilthorpe MS, Liskiewicz M, Ellison GT. Textor J, et al. Int J Epidemiol. 2016 Dec 1;45(6):1887-1894. doi: 10.1093/ije/dyw341. Int J Epidemiol. 2016. PMID: 28089956 Free article.

5

Adjustment for time-invariant and time-varying confounders in 'unexplained residuals' models for longitudinal data within a causal framework and associated challenges.

Arnold KF, Ellison G, Gadd SC, Textor J, Tennant P, Heppenstall A, Gilthorpe MS. Arnold KF, et al. Among authors: textor j. Stat Methods Med Res. 2019 May;28(5):1347-1364. doi: 10.1177/0962280218756158. Epub 2018 Feb 16. Stat Methods Med Res. 2019. PMID: 29451093 Free PMC article.

6

Testing Graphical Causal Models Using the R Package "dagitty".

Ankan A, Wortel IMN, Textor J. Ankan A, et al. Among authors: textor j. Curr Protoc. 2021 Feb;1(2):e45. doi: 10.1002/cpz1.45. Curr Protoc. 2021. PMID: 33592130

7

Identifiability of causal effects in test-negative design studies.

Shrier I, Stovitz SD, Textor J. Shrier I, et al. Among authors: textor j. Int J Epidemiol. 2023 Dec 25;52(6):1968-1974. doi: 10.1093/ije/dyad102. Int J Epidemiol. 2023. PMID: 37451683

8

DAGitty: a graphical tool for analyzing causal diagrams.

Textor J, Hardt J, Knüppel S. Textor J, et al. Epidemiology. 2011 Sep;22(5):745. doi: 10.1097/EDE.0b013e318225c2be. Epidemiology. 2011. PMID: 21811114 No abstract available.

9

Eight-Color Multiplex Immunohistochemistry for Simultaneous Detection of Multiple Immune Checkpoint Molecules within the Tumor Microenvironment.

Gorris MAJ, Halilovic A, Rabold K, van Duffelen A, Wickramasinghe IN, Verweij D, Wortel IMN, Textor JC, de Vries IJM, Figdor CG. Gorris MAJ, et al. Among authors: textor jc. J Immunol. 2018 Jan 1;200(1):347-354. doi: 10.4049/jimmunol.1701262. Epub 2017 Nov 15. J Immunol. 2018. PMID: 29141863

10

Is T Cell Negative Selection a Learning Algorithm?

Wortel IMN, Keşmir C, de Boer RJ, Mandl JN, Textor J. Wortel IMN, et al. Among authors: textor j. Cells. 2020 Mar 11;9(3):690. doi: 10.3390/cells9030690. Cells. 2020. PMID: 32168897 Free PMC article.

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