Seunggeun Lee

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All published works

Action	Title	Year	Authors
+	To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice	2024	Maxwell Salvatore Ritoban Kundu Xu Shi Christopher R. Friese Seunggeun Lee Lars G. Fritsche Alison M. Mondul David A. Hanauer Celeste Leigh Pearce Bhramar Mukherjee
+ PDF Chat	To weight or not to weight? Studying the effect of selection bias in three large EHR-linked biobanks	2024	Maxwell Salvatore Ritoban Kundu Xu Shi Christopher R. Friese Seunggeun Lee Lars G. Fritsche Alison M. Mondul David A. Hanauer Celeste Leigh Pearce Bhramar Mukherjee
+ PDF Chat	The Clinical relevance of Polygenic Risk Scores to Type 2 Diabetes Mellitus in Korean Population	2023	Na Yeon Kim Haekyung Lee Se Hee Kim Ye‐Jee Kim Hyunsuk Lee Junhyeong Lee Soo Heon Kwak Seunggeun Lee
+	Optimal test allocation strategy during the COVID-19 pandemic and beyond	2020	Jiacong Du Lauren J. Beesley Seunggeun Lee Xiang Zhou Walter Dempsey Bhramar Mukherjee
+ PDF Chat	An efficient and accurate frailty model approach for genome-wide survival association analysis controlling for population structure and relatedness in large-scale biobanks	2020	Rounak Dey Wei Zhou Tuomo Kiiskinen Aki S. Havulinna Amanda Elliott Juha Karjalainen Mitja Kurki Ashley Qin Seunggeun Lee Aarno Palotie
+	Asymptotic properties of principal component analysis and shrinkage-bias adjustment under the generalized spiked population model	2019	Rounak Dey Seunggeun Lee
+ PDF Chat	Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies	2018	Wei Zhou Jonas B. Nielsen Lars G. Fritsche Rounak Dey Maiken E. Gabrielsen Brooke N. Wolford Jonathon LeFaive Peter VandeHaar Sarah A. Gagliano Taliun Aliya Gifford
+ PDF Chat	Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies	2017	Wei Zhou Jonas B. Nielsen Lars G. Fritsche Rounak Dey Maiken E. Gabrielsen Brooke N. Wolford Jonathon LeFaive Peter VandeHaar Sarah A. Gagliano Taliun Aliya Gifford
+ PDF Chat	Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence	2017	Gang Liu Bhramar Mukherjee Seunggeun Lee Alice W. Lee Anna H. Wu Elisa V. Bandera Allan Jensen Mary Anne Rossing Kirsten B. Moysich Jenny Chang‐Claude
+	A fast and accurate algorithm to test for binary phenotypes and its application to PheWAS	2017	Rounak Dey Ellen M. Schmidt Gonçalo R. Abecasis Seunggeun Lee
+ PDF Chat	Set-Based Tests for the Gene–Environment Interaction in Longitudinal Studies	2016	Zihuai He Min Zhang Seunggeun Lee Jennifer A. Smith Sharon L.R. Kardia V. Diez Roux Bhramar Mukherjee
+ PDF Chat	Convergence of sample eigenvalues, eigenvectors, and principal component scores for ultra-high dimensional data	2014	Seunggeun Lee Fei Zou Fred A. Wright
+ PDF Chat	Convergence of sample eigenvalues, eigenvectors, and principal component scores for ultra-high dimensional data	2014	Seunggeun Lee Fei Zou Fred A. Wright
+ PDF Chat	Convergence and prediction of principal component scores in high-dimensional settings	2010	Seunggeun Lee Fei Zou Fred A. Wright
+ PDF Chat	Convergence and prediction of principal component scores in high-dimensional settings	2010	Seunggeun Lee Fei Zou Fred A. Wright
+ PDF Chat	Comment on a Simple and Improved Correction for Population Stratification	2008	Seunggeun Lee Patrick F. Sullivan Fei Zou Fred A. Wright

Common Coauthors

Coauthor	Papers Together
Bhramar Mukherjee	5
Rounak Dey	5
Fred A. Wright	5
Fei Zou	5
Lars G. Fritsche	4
Celeste Leigh Pearce	3
Goncalo R. Abeçasis	3
Wei Zhou	3
Sarah A. Gagliano Taliun	2
Christopher R. Friese	2
Jonathon LeFaive	2
Lisa A. Bastarache	2
Kristian Hveem	2
Aliya Gifford	2
Maxwell Salvatore	2
Alison M. Mondul	2
Maiken E. Gabrielsen	2
Wei‐Qi Wei	2
Xu Shi	2
David A. Hanauer	2
Maoxuan Lin	2
Peter VandeHaar	2
Jonas B. Nielsen	2
Brooke N. Wolford	2
Ritoban Kundu	2
Cristen J. Willer	2
Kathryn L. Terry	1
Aki S. Havulinna	1
Ellen M. Schmidt	1
Kirsten B. Moysich	1
Jennifer A. Smith	1
Daniel W. Cramer	1
Patrick F. Sullivan	1
Jiacong Du	1
Joellen M. Schildkraut	1
Argyrios Ziogas	1
Joshua C. Denny	1
Anna H. Wu	1
Xiang Zhou	1
Jennifer A. Doherty	1
Francesmary Modugno	1
Hoda Anton‐Culver	1
Usha Menon	1
Aarno Palotie	1
Paul D.P. Pharoah	1
Tuomo Kiiskinen	1
Haekyung Lee	1
Min Zhang	1
Hyunsuk Lee	1
Na Yeon Kim	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Miscellanea. Saddlepoint approximations for distributions of quadratic forms in normal variables	1999	Diego Kuonen	4
+	Approximate Inference in Generalized Linear Mixed Models	1993	N. E. Breslow David Clayton	3
+	Eigenvalues of large sample covariance matrices of spiked population models	2005	Jinho Baik Jack W. Silverstein	3
+	ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL	2007	Debashis Paul	3
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone	3
+	DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES	1967	V A Marčenko L. А. Pastur	3
+ PDF Chat	Geometric Representation of High Dimension, Low Sample Size Data	2005	Peter A. Hall J. S. Marron Amnon Neeman	3
+	The high-dimension, low-sample-size geometric representation holds under mild conditions	2007	Jae Youn Ahn J. S. Marron Klaus Müller Yueh‐Yun Chi	3
+ PDF Chat	PCA consistency in high dimension, low sample size context	2009	Sungkyu Jung J. S. Marron	3
+ PDF Chat	Finite sample approximation results for principal component analysis: A matrix perturbation approach	2008	Boaz Nadler	2
+	A Structural Approach to Selection Bias	2004	Miguel A. Hernán Sonia Hernández–Dı́az James M. Robins	2
+ PDF Chat	Toward a Clearer Definition of Selection Bias When Estimating Causal Effects	2022	Haidong Lu Stephen R. Cole Chanelle J. Howe Daniel Westreich	2
+ PDF Chat	The Big Data Paradox in Clinical Practice	2022	Pavlos Msaouel	2
+	A Review of Generalizability and Transportability	2022	Irina Degtiar Sherri Rose	2
+ PDF Chat	Participation bias in the UK Biobank distorts genetic associations and downstream analyses	2023	Tabea Schoeler Doug Speed Eleonora Porcu Nicola Pirastu Jean‐Baptiste Pingault Zoltán Kutalik	2
+	An Introduction to Multivariate Statistical Analysis	1986	Robb J. Muirhead T. W. Anderson	2
+	Adjusting for selection bias due to missing data in electronic health records-based research	2021	Sarah B. Peskoe David Arterburn Karen J. Coleman Lisa J. Herrinton Michael J. Daniels Sebastien Haneuse	2
+	A Practical Guide to Selection Bias in Instrumental Variable Analyses	2019	Sonja A. Swanson	2
+ PDF Chat	Statistical paradises and paradoxes in big data (I): Law of large populations, big data paradox, and the 2016 US presidential election	2018	Xiao‐Li Meng	2
+ PDF Chat	Contextualizing selection bias in Mendelian randomization: how bad is it likely to be?	2018	Apostolos Gkatzionis Stephen Burgess	2
+	Principal Component Analysis	2005	Ian T. Jolliffe	2
+	Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data	2021	Patrick M. Carry Lauren A. Vanderlinden Fran Dong Teresa Buckner Elizabeth Litkowski Tim Vigers Jill M. Norris Katerina Kechris	2
+ PDF Chat	Randomisation to protect against selection bias in healthcare trials	2011	Jan Odgaard‐Jensen Gunn Elisabeth Vist Antje Timmer Regina Kunz Elie A. Akl Holger J. Schünemann Matthias Briel Alain Nordmann Silvia Pregno Andrew D Oxman	2
+ PDF Chat	Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassification	2022	Lauren J. Beesley Bhramar Mukherjee	2
+ PDF Chat	Polygenic risk score from a multi-ancestry GWAS uncovers susceptibility of heart failure	2021	Kuan-Han Wu Nicholas J. Douville Matthew C. Konerman Michael R. Mathis Scott L. Hummel Brooke N. Wolford Ida Surakka Sarah E. Graham Hyeon Joo Jibril Hirbo	2
+ PDF Chat	A framework for understanding selection bias in real-world healthcare data	2024	Ritoban Kundu Xu Shi Jean Morrison Jessica Barrett Bhramar Mukherjee	2
+ PDF Chat	A General Framework for Considering Selection Bias in EHR-Based Studies: What Data are Observed and Why?	2016	Sebastien Haneuse Michael J. Daniels	2
+ PDF Chat	Computing the distribution of quadratic forms in normal variables	1961	J. P. Imhof	2
+	Approximate Interval Probabilities	1990	Ole E. Barndorff‐Nielsen	2
+	Collider scope: when selection bias can substantially influence observed associations	2017	Marcus R. Munafò Kate Tilling Amy E. Taylor David M. Evans George Davey Smith	2
+ PDF Chat	Spectrum estimation for large dimensional covariance matrices using random matrix theory	2008	Noureddine El Karoui	2
+ PDF Chat	Immortal Time Bias in Pharmacoepidemiology	2007	Samy Suissa	2
+	METHODOLOGIES IN SPECTRAL ANALYSIS OF LARGE DIMENSIONAL RANDOM MATRICES, A REVIEW	2008	Zhidong Bai	2
+ PDF Chat	Good practices for quantitative bias analysis	2014	Timothy L. Lash Matthew P. Fox Richard F. MacLehose George Maldonado Lawrence C. McCandless Sander Greenland	2
+ PDF Chat	Asymptotic Theory for Principal Component Analysis	1963	T. W. Anderson	2
+	Methods of conjugate gradients for solving linear systems	1952	Magnus R. Hestenes Eduard Stiefel	2
+ PDF Chat	Convergence and prediction of principal component scores in high-dimensional settings	2010	Seunggeun Lee Fei Zou Fred A. Wright	2
+	Preconditioned conjugate gradients for solving singular systems	1988	E.F. Kaasschieter	2
+ PDF Chat	Saddlepoint Approximations in Statistics	1954	H. E. Daniels	2
+	Inference for Nonprobability Samples	2017	Michael R. Elliott Richard Valliant	2
+	Using Propensity Score Weighting to Reduce Selection Bias in Large-Scale Data Sets	2018	Crystal D. Bishop Walter L. Leite Patricia Snyder	2
+	Approximate Inference in Generalized Linear Mixed Models	1993	N. E. Breslow David Clayton	2
+ PDF Chat	Doubly Robust Inference With Nonprobability Survey Samples	2019	Yilin Chen Pengfei Li Changbao Wu	2
+	Logistic disease incidence models and case-control studies	1979	Ross L. Prentice Ronald Pyke	1
+ PDF Chat	Convergence of sample eigenvalues, eigenvectors, and principal component scores for ultra-high dimensional data	2014	Seunggeun Lee Fei Zou Fred A. Wright	1
+	Nonparametric Estimation from Incomplete Observations	1992	Edward L. Kaplan Paul Meier	1
+ PDF Chat	Sample Size and Power Calculations for Additive Interactions	2012	Tyler J. VanderWeele	1
+	Convergence rates and asymptotic normality for series estimators	1997	Whitney K. Newey	1
+	Analysis of the Limiting Spectral Distribution of Large Dimensional Random Matrices	1995	Jack W. Silverstein Sang Il Choi	1
+	Gene-centric gene–gene interaction: A model-based kernel machine method	2012	Shaoyu Li Yuehua Cui	1