Jonathan Ranisau

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All published works

Action	Title	Year	Authors
+	Detecting irregularities in randomized controlled trials using machine learning	2024	Walter Nelson Jeremy Petch Jonathan Ranisau Robin Zhao Kumar Balasubramanian Shrikant I. Bangdiwala
+	Pyclipse, a library for deidentification of free-text clinical notes	2023	Callandra Moore Jonathan Ranisau Walter Nelson Jeremy Petch Alistair E. W. Johnson
+	Do Ensembling and Meta-Learning Improve Outlier Detection in Randomized Controlled Trials?	2023	Walter G. Nelson Jonathan Ranisau Jeremy Petch

Common Coauthors

Coauthor	Papers Together
Jeremy Petch	3
Walter Nelson	2
Shrikant I. Bangdiwala	1
Walter G. Nelson	1
Kumar Balasubramanian	1
Alistair E. W. Johnson	1
Callandra Moore	1
Robin Zhao	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	An Introduction to the Bootstrap	1994	Bradley Efron Robert Tibshirani	1
+ PDF Chat	What can we learn from a decade of database audits? The Duke Clinical Research Institute experience, 1997—2006	2009	Reza Rostami Meredith Nahm Carl F. Pieper	1
+	Central statistical monitoring: Detecting fraud in clinical trials	2013	Janice Pogue P.J. Devereaux Kristian Thorlund Salim Yusuf	1
+	Linear mixed‐effects models for central statistical monitoring of multicenter clinical trials	2014	Lieven Desmet David Venet Erik Doffagne C. Timmermans Tomasz Burzykowski Catherine Legrand Marc Buyse	1
+	Application of methods for central statistical monitoring in clinical trials	2013	Amy A. Kirkwood Trevor F. Cox Allan Hackshaw	1
+	A statistical approach to central monitoring of data quality in clinical trials	2012	David Venet Erik Doffagne Tomasz Burzykowski F. Beckers Yves Tellier Eric Genevois-Marlin Ursula Becker Valerie Bée Véronique Wilson Catherine Legrand	1
+	An Introduction to Statistical Learning	2013	Gareth James Daniela Witten Trevor Hastie Robert Tibshirani	1
+	Detection of atypical data in multicenter clinical trials using unsupervised statistical monitoring	2019	Laura Trotta Yuusuke Kabeya Marc Buyse Erik Doffagne David Venet Lieven Desmet Tomasz Burzykowski Akira Tsuburaya Kazuhiro Yoshida Yumi Miyashita	1
+ PDF Chat	ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions	2022	Zheng Li Yue Zhao Xiyang Hu Nicola Botta Cezar Ionescu George H. Chen	1
+	ADBench: Anomaly Detection Benchmark	2022	Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao	1
+	Machine learning for detecting centre-level irregularities in randomized controlled trials: A pilot study	2022	Jeremy Petch Walter G. Nelson Shuang Di Kumar Balasubramanian Salim Yusuf P.J. Devereaux Flávia K. Borges Shrikant I. Bangdiwala	1
+ PDF Chat	Application of Statistical Methods for Central Statistical Monitoring and Implementations on the German Multiple Sclerosis Registry	2023	Firas Fneish David Ellenberger Niklas Frahm Alexander Stahmann Gerhard Fortwengel Frank Schaarschmidt	1
+	Do Ensembling and Meta-Learning Improve Outlier Detection in Randomized Controlled Trials?	2023	Walter G. Nelson Jonathan Ranisau Jeremy Petch	1