Jonathan Z. Bakdash

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All published works

Action	Title	Year	Authors
+	Using AI Uncertainty Quantification to Improve Human Decision-Making	2023	Laura R. Marusich Jonathan Z. Bakdash Yan Zhou Murat Kantarcıoğlu
+	Using AI Uncertainty Quantification to Improve Human Decision-Making	2023	Laura R. Marusich Jonathan Z. Bakdash Yan Zhou Murat Kantarcıoğlu
+ PDF Chat	Dynamic X-Ray Vision in Mixed Reality	2022	Hung-Jui Guo Jonathan Z. Bakdash Laura R. Marusich Balakrishnan Prabhakaran
+	Left-truncated effects and overestimated meta-analytic means	2022	Jonathan Z. Bakdash Laura R. Marusich
+	Left-truncated effects and overestimated meta-analytic means (comment on Mertens et al. "The effectiveness of nudging")	2022	Jonathan Z. Bakdash Laura R. Marusich
+	Dynamic X-Ray Vision in Mixed Reality	2022	Hung-Jui Guo Jonathan Z. Bakdash Laura R. Marusich Balakrishnan Prabhakaran
+	Augmented Reality and Mixed Reality Measurement Under Different Environments: A Survey on Head-Mounted Devices	2022	Hung-Jui Guo Jonathan Z. Bakdash Laura R. Marusich Balakrishnan Prabhakaran
+ PDF Chat	rmcorrShiny: A web and standalone application for repeated measures correlation	2021	Laura R. Marusich Jonathan Z. Bakdash
+	Statistical Significance Filtering Overestimates Effects and Impedes Falsification: A Critique of Endsley (2019)	2021	Jonathan Z. Bakdash Laura R. Marusich Jared B. Kenworthy Elyssa Twedt Erin Zaroukian
+ PDF Chat	rmcorrShiny: A web and standalone application for repeated measures correlation	2021	Laura R. Marusich Jonathan Z. Bakdash
+ PDF Chat	Does Explainable Artificial Intelligence Improve Human Decision-Making?	2021	Yasmeen Alufaisan Laura R. Marusich Jonathan Z. Bakdash Yan Zhou Murat Kantarcıoğlu
+ PDF Chat	The validity of situation awareness for performance: a meta-analysis	2021	Jonathan Z. Bakdash Laura R. Marusich Katherine Cox Michael N. Geuss Erin Zaroukian Katelyn Morris
+ PDF Chat	Statistical Significance Filtering Overestimates Effects and Impedes Falsification: A Critique of Endsley (2019)	2020	Jonathan Z. Bakdash Laura R. Marusich Jared B. Kenworthy Elyssa Twedt Erin Zaroukian
+	Statistical Significance Filtering Overestimates Effects and Impedes Falsification: A Critique of Endsley (2019)	2020	Jonathan Z. Bakdash Laura R. Marusich Jared B. Kenworthy Elyssa Twedt Erin Zaroukian
+	Does Explainable Artificial Intelligence Improve Human Decision-Making?	2020	Yasmeen Alufaisan Laura R. Marusich Jonathan Z. Bakdash Yan Zhou Murat Kantarcıoğlu
+ PDF Chat	Space Perception in Augmented Reality: Emerging Recommendations for Tailoring Distance Cues to Virtual Content in Augmented-Reality Applications	2020	Michael N. Geuss Jonathan Z. Bakdash Shannon Moore Laura R. Marusich Eric Holder Joe Campanelli
+	The Validity of Situation Awareness for Performance: A Meta-Analysis	2020	Jonathan Z. Bakdash Laura R. Marusich Katherine Cox Michael N. Geuss Erin Zaroukian Katelyn Morris
+	Does Explainable Artificial Intelligence Improve Human Decision-Making?	2020	Yasmeen Alufaisan Laura R. Marusich Jonathan Z. Bakdash Yan Zhou Murat Kantarcıoğlu
+	EMERGING RECOMMENDATIONS FOR INITIAL AUTOMATED TARGET RECOGNITION (ATR) DISPLAY CONSIDERATIONS: Implications for Concept Development and Evaluation	2019	Gabriella Brick Larkin Michael N. Geuss Alfred B. Yu Joe T. Rexwinkle Chloe Callahan-Flintoft Jonathan Z. Bakdash Jennifer C. Swoboda Gregory Lieberman Chou P. Hung Shannon Moore
+ PDF Chat	The Future of Deception: Machine-Generated and Manipulated Images, Video, and Audio?	2018	Jonathan Z. Bakdash Char Sample Monica A. Rankin Murat Kantarcıoğlu Jennifer S. Holmes Sue E. Kase Erin Zaroukian Bolesław K. Szymański
+ PDF Chat	The Future of Deception: Machine-Generated and Manipulated Images, Video, and Audio?	2018	Jonathan Z. Bakdash
+ PDF Chat	Malware in the future? Forecasting of analyst detection of cyber events	2018	Jonathan Z. Bakdash Steve Hutchinson Erin Zaroukian Laura R. Marusich Saravanan Thirumuruganathan Charmaine Sample Blaine Hoffman Gautam Das
+ PDF Chat	Limits of Risk Predictability in a Cascading Alternating Renewal Process Model	2017	Xin Lin Alaa Moussawi G. Korniss Jonathan Z. Bakdash Bolesław K. Szymański
+	Malware in the Future? Forecasting Analyst Detection of Cyber Events	2017	Jonathan Z. Bakdash Steve Hutchinson Erin Zaroukian Laura R. Marusich Saravanan Thirumuruganathan Charmaine Sample Blaine Hoffman Gautam Das
+	Malware in the Future? Forecasting of Analyst Detection of Cyber Events	2017	Jonathan Z. Bakdash Steve Hutchinson Erin Zaroukian Laura R. Marusich Saravanan Thirumuruganathan Charmaine Sample Blaine Hoffman Gautam Das
+ PDF Chat	Human Computer Collaboration at the Edge: Enhancing Collective Situation Understanding with Controlled Natural Language	2016	Jonathan Z. Bakdash Erin Zaroukian Alun Preece Dave Braines
+ PDF Chat	Conversational sensing	2014	Alun Preece Chris Gwilliams Christos Parizas Diego Pizzocaro Jonathan Z. Bakdash Dave Braines

Common Coauthors

Coauthor	Papers Together
Laura R. Marusich	21
Erin Zaroukian	10
Murat Kantarcıoğlu	6
Yan Zhou	4
Michael N. Geuss	4
Charmaine Sample	3
Jared B. Kenworthy	3
Blaine Hoffman	3
Yasmeen Alufaisan	3
Balakrishnan Prabhakaran	3
Elyssa Twedt	3
Hung-Jui Guo	3
Gautam Das	3
Steve Hutchinson	3
Shannon Moore	2
Bolesław K. Szymański	2
Dave Braines	2
Alun Preece	2
Katelyn Morris	2
Katherine Cox	2
Saravanan Thirumuruganathan	2
Gregory Lieberman	1
Chou P. Hung	1
Sue E. Kase	1
Jennifer S. Holmes	1
Chloe Callahan-Flintoft	1
G. Korniss	1
Xin Lin	1
Monica A. Rankin	1
Diego Pizzocaro	1
Char Sample	1
Gabriella Brick Larkin	1
Christos Parizas	1
Brent J. Lance	1
Joe T. Rexwinkle	1
Jennifer C. Swoboda	1
Alaa Moussawi	1
Saravanan Thirumuruganathan	1
Chris Gwilliams	1
Eric Holder	1
Joe Campanelli	1
Yan Zhou	1
Alfred B. Yu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A solution to dependency: using multilevel analysis to accommodate nested data	2014	Emmeke Aarts Matthijs Verhage Jesse V. Veenvliet Conor V. Dolan Sophie van der Sluis	7
+ PDF Chat	New metrics for meta-analyses of heterogeneous effects	2018	Maya B. Mathur Tyler J. VanderWeele	6
+ PDF Chat	Statistical Significance Filtering Overestimates Effects and Impedes Falsification: A Critique of Endsley (2019)	2020	Jonathan Z. Bakdash Laura R. Marusich Jared B. Kenworthy Elyssa Twedt Erin Zaroukian	5
+	False-Positive Psychology	2011	Joseph P. Simmons Leif D. Nelson Uri Simonsohn	5
+ PDF Chat	Meta-Analysis With Complex Research Designs	2013	Nancy Scammacca Greg Roberts Karla K. Stuebing	5
+ PDF Chat	Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models	2016	James E. Pustejovsky Elizabeth Tipton	5
+	What You See May Not Be What You Get: A Brief, Nontechnical Introduction to Overfitting in Regression-Type Models	2004	Michael A. Babyak	5
+	clubSandwich: Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections	2016	James E. Pustejovsky	4
+	Computation of Multivariate Normal and t Probabilities	2009	Alan Genz Frank Bretz	3
+	Modeling Survival Data: Extending the Cox Model	2000	Terry M. Therneau Patricia M. Grambsch	3
+	poolr: Methods for Pooling P-Values from (Dependent) Tests	2020	Ozan Cinar Wolfgang Viechtbauer	3
+	robumeta: An R-package for robust variance estimation in meta-analysis	2015	Zachary F. Fisher Elizabeth Tipton	3
+	Vote-counting methods in research synthesis.	1980	Larry V. Hedges Ingram Olkin	3
+ PDF Chat	Helping Doctors and Patients Make Sense of Health Statistics	2007	Gerd Gigerenzer Wolfgang Gaissmaier Elke Kurz‐Milcke Lisa M. Schwartz Steven Woloshin	3
+	Beyond Power Calculations	2014	Andrew Gelman John B. Carlin	3
+ PDF Chat	Simultaneous Inference in General Parametric Models	2008	Torsten Hothorn Frank Bretz Peter H. Westfall	3
+ PDF Chat	Measurement error and the replication crisis	2017	Eric Loken Andrew Gelman	3
+	carData: Companion to Applied Regression Data Sets	2017	John Fox Sanford Weisberg Bradley S. Price	3
+	An R Companion to Applied Regression	2010	Sanford Weisberg John Fox	3
+	Consequences of violating the independence assumption in analysis of variance.	1986	David A. Kenny Charles M. Judd	3
+	Estimation of Effect Size under Nonrandom Sampling: The Effects of Censoring Studies Yielding Statistically Insignificant Mean Differences	1984	Larry V. Hedges	3
+	The statistical significance filter leads to overoptimistic expectations of replicability	2018	Shravan Vasishth Daniela Mertzen Lena A. Jäger Andrew Gelman	3
+	Statistics	1998	Christopher D. Wickens	3
+	corpcor: Efficient Estimation of Covariance and (Partial) Correlation	2005		3
+	How scientists can stop fooling themselves over statistics	2020	Dorothy Bishop	3
+ PDF Chat	Reproducibility of individual effect sizes in meta-analyses in psychology	2020	Esther Maassen Marcel A. L. M. van Assen Michèle B. Nuijten Anton Olsson-Collentine Jelte M. Wicherts	3
+ PDF Chat	The ASA Statement on <i>p</i>-Values: Context, Process, and Purpose	2016	Ronald L. Wasserstein Nicole A. Lazar	3
+	Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous Effects	2020	Maya B. Mathur Tyler J. VanderWeele	3
+	Meta-analysis of correlations revisited: Attempted replication and extension of Field's (2001) simulation studies.	2009	Adam R. Hafdahl Michelle A. Williams	3
+ PDF Chat	Scientific method: Statistical errors	2014	Regina Nuzzo	3
+ PDF Chat	Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making	2020	Yunfeng Zhang Q. Vera Liao Rachel Bellamy	3
+ PDF Chat	A Survey and Classification of Controlled Natural Languages	2013	Tobias Kuhn	2
+	Causality: a Statistical View	2004	David R. Cox Nanny Wermuth	2
+ PDF Chat	Bootstrapping Clustered Data	2007	Chris Field A. H. Welsh	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+ PDF Chat	Characterizing Honeypot-Captured Cyber Attacks: Statistical Framework and Case Study	2013	Zhenxin Zhan Maochao Xu Shouhuai Xu	2
+	Meta-Analysis: Recent Developments in Quantitative Methods for Literature Reviews	2001	Robert Rosenthal M. Robin DiMatteo	2
+	The Measure and Mismeasure of Fairness	2018	Sam Corbett‐Davies Sharad Goel	2
+	An Evaluation of the Human-Interpretability of Explanation	2019	Isaac Lage Emily Chen Jeffrey He Menaka Narayanan Been Kim Sam Gershman Finale Doshi‐Velez	2
+	Explanation in artificial intelligence: Insights from the social sciences	2018	Tim Miller	2
+ PDF Chat	The origin of bursts and heavy tails in human dynamics	2005	Albert‐László Barabási	2
+	Towards A Rigorous Science of Interpretable Machine Learning	2017	Finale Doshi‐Velez Been Kim	2
+ PDF Chat	Limits of Risk Predictability in a Cascading Alternating Renewal Process Model	2017	Xin Lin Alaa Moussawi G. Korniss Jonathan Z. Bakdash Bolesław K. Szymański	2
+	Modern Applied Statistics with S,	2003	Freda Kemp	2
+	Testing the number of components in a normal mixture	2001	Yungtai Lo Nancy R. Mendell Donald B. Rubin	2
+ PDF Chat	<i>Stan</i>: A Probabilistic Programming Language	2017	Bob Carpenter Andrew Gelman Matthew D. Hoffman Daniel C. Lee Ben Goodrich Michael Betancourt Marcus A. Brubaker Jiqiang Guo Peter Li Allen Riddell	2
+ PDF Chat	Statistics notes: Calculating correlation coefficients with repeated observations: Part 2--correlation between subjects	1995	J Martin Bland Douglas G. Altman	2
+	Improved tests for a random effects meta‐regression with a single covariate	2003	Guido Knapp Joachim Härtung	2
+	Modeling and predicting extreme cyber attack rates via marked point processes	2016	Peng Chen Maochao Xu Shouhuai Xu Taizhong Hu	2
+ PDF Chat	<b>brms</b>: An <i>R</i> Package for Bayesian Multilevel Models Using <i>Stan</i>	2017	Paul‐Christian Bürkner	2