Janine Witte

• 10/2011-09/2014: 'Molecular Medicine' (B.Sc.) at the University of Göttingen
• 10/2014-11/2016: 'Medical Biometry/Biostatistics' (M.Sc.) at the University of Bremen
• 03/2015-02/2016: student assistant at BIPS
• since 12/2016: research assistant at BIPS

• International Biometric Society (Deutsche Region der Internationalen Biometrischen Gesellschaft / IBS-DR)

• Causal discovery for cohort data

• Articles with peer-review

• Witte J, Henckel L, Maathuis MH, Didelez V. On efficient adjustment in causal graphs. Journal of Machine Learning Research. 2020;21(246):1-45.
  http://jmlr.org/papers/v21/20-175.html
• Witte J, Didelez V. Covariate selection strategies for causal inference: Classification and comparison. Biometrical Journal. 2019;61(5):1270-1289.
  https://doi.org/10.1002/bimj.201700294

• Presentations at scientific meetings/conferences (invited)

• Witte J, Didelez V. Kovariablen-Selektion für kausale Inferenz: Verschiedene Ansätze im Vergleich. Kolloquium "Statistische Methoden in der empirischen Forschung" des Instituts für Veterinär-Epidemiologie und Biometrie der Freien Universität Berlin, 11. Dezember 2018, Berlin.

• Presentations at scientific meetings/conferences

• Witte J, Didelez V. On efficient adjustment in causal graphs. 2nd European Causal Inference Meeting (EuroCIM), 27-29 March 2019, Bremen.
• Witte J, Didelez V. On efficient adjustment in causal graphs. 40th Annual Conference of the International Society for Clinical Biostatistics (ISCB), 14-18 July 2019, Leuven, Belgium.
• Witte J, Didelez V. Covariate selection for causal inference: Comparison of strategies. Workshop "“Statistical Models for Prediction and Causal Inference”" der Arbeitsgruppen Statistische Methoden in der Medizin (IBS-DR), Statistische Methoden in der Epidemiologie (IBS-DR, DGEpi), Statistische Methoden in der klinischen Forschung (GMDS), Epidemiologische Methoden (DGEpi, GMDS, DGSMP), 23-24 November 2017, Braunschweig.
• Witte J, Didelez V. A taxonomy of covariate selection strategies for causal inference from observational data. Joint Conference on Biometrics & Biopharmaceutical Statistics of the Central European Network (CEN) and the International Society for Biopharmaceutical Statistics (ISBS), 28 August-1 September 2017, Vienna, Austria.

• Posters at scientific meetings/conferences

• Witte J, Foraita R, Andrews R, Didelez V. Multiple imputation for constraint-based causal discovery with cohort data. 41st Annual Conference of the International Society for Clinical Biostatistics (ISCB), 23-27 August 2020, online poster.
• Witte J, Didelez V. Exploring the causal structure in cohort data using generalized IDA. Rostock Retreat on Causality, 2-4 July 2018, Rostock.
• Witte J, Didelez V. A taxonomy of covariate selection strategies for causal inference from observational data. UK Causal Inference Meeting, 5-7 April 2017, Colchester, United Kingdom.

• Software

• Intemann T, Hanke M, Witte J, Vivone M, Pohlabeln H. Online-Tool zur Unterstützung von Kinderärzten bei der Einschätzung des Risikos eines Metabolischen Syndroms bei Kindern im Alter von 3-10 Jahren. (Online); 2016.
  http://www.leibniz-bips.de/forschung/software/mets-score.html

• Further publications

• Best Poster Award
  UK Causal Inference Meeting 2017
  Title of poster: A taxonomy of covariate selection strategies for causal inference from observational data

SoSe 2017: Teaching assistant "Statistische Modellierung II"
WiSe 2017/18: Teaching assistant "Survivalanalyse"
SoSe 2019: Teaching assistant "Statistische Modellierung II"
WiSe 2019/20: Teaching assistant "Survivalanalyse"