Daniel R. Lavage

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All published works

Action	Title	Year	Authors
+ PDF Chat	Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis	2018	Brett K. Beaulieu‐Jones Daniel R. Lavage John W Snyder Jason H. Moore Sarah A. Pendergrass Christopher R. Bauer
+	Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis (Preprint)	2017	Brett K. Beaulieu‐Jones Daniel R. Lavage John W Snyder Jason H. Moore Sarah A. Pendergrass Christopher R. Bauer
+ PDF Chat	Characterizing and Managing Missing Structured Data in Electronic Health Records	2017	Brett K. Beaulieu‐Jones Daniel R. Lavage John Snyder Jason H. Moore Sarah A. Pendergrass Christopher R. Bauer

Common Coauthors

Coauthor	Papers Together
Brett K. Beaulieu‐Jones	3
Jason H. Moore	3
Christopher R. Bauer	3
Sarah A. Pendergrass	3
John W Snyder	2
John Snyder	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	What Improves with Increased Missing Data Imputations?	2008	Todd Bodner	3
+	Sensitivity analysis after multiple imputation under missing at random: a weighting approach	2007	James R. Carpenter Michael G. Kenward Ian R. White	3
+ PDF Chat	Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data	2012	Vanina Héraud-Bousquet Christine Larsen James R. Carpenter Jean‐Claude Desenclos Yann Le Strat	3
+	Multiple imputation using chained equations: Issues and guidance for practice	2010	Ian R. White Patrick Royston Angela Wood	3
+ PDF Chat	What is the difference between missing completely at random and missing at random?	2014	Krishnan Bhaskaran Liam Smeeth	3
+ PDF Chat	Approach to Addressing Missing Data for Electronic Medical Records and Pharmacy Claims Data Research	2015	Mark Bounthavong Jonathan H. Watanabe Kevin M. Sullivan	3
+ PDF Chat	Multiple Imputation With Large Data Sets: A Case Study of the Children's Mental Health Initiative	2009	Elizabeth A. Stuart Melissa Azur Constantine Frangakis Philip J. Leaf	3
+	Inference and missing data	1976	Donald B. Rubin	2
+	<b>mice</b>: Multivariate Imputation by Chained Equations in<i>R</i>	2011	Stef van Buuren Catharina G. M. Groothuis‐Oudshoorn	2
+ PDF Chat	Nearest neighbor imputation algorithms: a critical evaluation	2016	Lorenzo Beretta Alessandro Santaniello	2
+	Is the k-NN classifier in high dimensions affected by the curse of dimensionality?	2011	Vladimir Pestov	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+	Some Additional Multiple Imputation Functions, Especially for'mice'	2015	Alexander Robitzsch	1