Daniel D. Shapiro

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All published works

Action	Title	Year	Authors
+ PDF Chat	ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography	2024	Syed Jamal Safdar Gardezi Lucas Aronson Peter Wawrzyn Hongkun Yu E. Jason Abel Daniel D. Shapiro Meghan G. Lubner Joshua Warner Giuseppe V. Toia Lu Mao
+ PDF Chat	Causal Diagram Techniques for Urologic Oncology Research	2020	Daniel D. Shapiro Pavlos Msaouel

Common Coauthors

Coauthor	Papers Together
Giuseppe V. Toia	1
Syed Jamal Safdar Gardezi	1
Lu Mao	1
Joshua Warner	1
Pallavi Tiwari	1
Meghan G. Lubner	1
E. Jason Abel	1
Andrew L. Wentland	1
Pavlos Msaouel	1
Peter Wawrzyn	1
Hongkun Yu	1
Lucas Aronson	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Introduction to causal diagrams for confounder selection	2014	Elizabeth Williamson Zoe Aitken Jock Lawrie Shyamali C. Dharmage John A. Burgess Andrew Forbes	1
+ PDF Chat	Increasing value and reducing waste in research design, conduct, and analysis	2014	John P. A. Ioannidis Sander Greenland Mark A. Hlatky Muin J. Khoury Malcolm Macleod David Moher Kenneth F. Schulz Robert Tibshirani	1
+	Quantifying Biases in Causal Models: Classical Confounding vs Collider-Stratification Bias	2003	Sander Greenland	1
+	Overadjustment Bias and Unnecessary Adjustment in Epidemiologic Studies	2009	Enrique F. Schisterman Stephen R. Cole Robert W. Platt	1
+	Causal diagrams for empirical research	1995	Judea Pearl	1
+	Air Pollution and Hospital Admissions for Heart Disease in Eight U.S. Counties	1999	Sander Greenland J. Pearl James M. Robins	1
+ PDF Chat	Reducing bias through directed acyclic graphs	2008	Ian Shrier Robert W. Platt	1
+ PDF Chat	"Toward a Clearer Definition of Confounding" Revisited With Directed Acyclic Graphs	2012	Penelope P. Howards Enrique F. Schisterman Charles Poole Jay S. Kaufman Clarice R. Weinberg	1
+ PDF Chat	Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable	2014	Felix Elwert Christopher Winship	1
+	Bias and causal associations in observational research	2002	David A. Grimes Kenneth F. Schulz	1
+ PDF Chat	Causal Knowledge as a Prerequisite for Confounding Evaluation: An Application to Birth Defects Epidemiology	2002	Miguel A. Hernán	1
+	Implications of M Bias in Epidemiologic Studies: A Simulation Study	2012	Wei Liu M. Alan Brookhart Sebastian Schneeweiß Xiaojuan Mi Soko Setoguchi	1
+ PDF Chat	The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients	2013	Daniel Westreich Sander Greenland	1
+ PDF Chat	Matched designs and causal diagrams	2013	Mohammad Alì Mansournia Miguel A. Hernán Sander Greenland	1
+	An introduction to instrumental variables for epidemiologists	2000	Sander Greenland	1
+ PDF Chat	A Causal Framework for Understanding the Effect of Losses to Follow-up on Epidemiologic Analyses in Clinic-based Cohorts: The Case of HIV-infected Patients on Antiretroviral Therapy in Africa	2012	Elvin Geng David V. Glidden David R. Bangsberg Mwebwesa Bosco Bwana Nicholas Musinguzi Denis Nash John Metcalfe Constantin T. Yiannoutsos Jeffrey N. Martin Maya Petersen	1
+	Mediation Analysis: A Practitioner's Guide	2015	Tyler J. VanderWeele	1
+ PDF Chat	Robust causal inference using directed acyclic graphs: the R package ‘dagitty’	2016	Johannes Textor Benito van der Zander Mark S. Gilthorpe Maciej Liśkiewicz George T. H. Ellison	1
+	Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms	2018	Adarsh Subbaswamy Suchi Saria	1
+ PDF Chat	Step away from stepwise	2018	Gary Smith	1
+ PDF Chat	Control of Confounding and Reporting of Results in Causal Inference Studies. Guidance for Authors from Editors of Respiratory, Sleep, and Critical Care Journals	2018	David J. Lederer Scott C. Bell Richard D. Branson James D. Chalmers Rachel D. Marshall David M. Maslove David E. Ost Naresh M. Punjabi Michael Schätz Alan R Smyth	1
+	Extending inferences from a randomized trial to a target population	2019	Issa J Dahabreh Miguel A. Hernán	1
+ PDF Chat	Causal Diagrams: Pitfalls and Tips	2020	Etsuji Suzuki Tomohiro Shinozaki Eiji Yamamoto	1
+ PDF Chat	An Introduction to Causal Diagrams for Anesthesiology Research	2020	Amy Gaskell Jamie Sleigh	1
+	Robustness in Statistics	1979		1
+	Causal Diagrams for Epidemiologic Research	1999	Sander Greenland Judea Pearl James M. Robins	1