March 2020: Updates of the progress on both our epidemiological forecast model and software. Here is the link to the technical report available on medRxiv;
here is the link to the R software package eSIR available in the GitHub with the user's manual;
here is the link to online prediction of COVID-19 trend in China.
February 2020: Former and current lab members worked together in the past few weeks and developed a data analysis toolbox for the analysis of novel coronavirus, COVID-19 in China. Here are the first stack of slides
and the second stack of slides of the lectures on the toolbox; here is the link to the recorded lectures.
November 2019: Congratulations to Emily Hector on receiving the Excellence in Research Award and to Lan Luo on receiving the Excellence in Research Honorable Mention given by the Department of Biostatistics, University of Michigan.
November 2019: Three lab members, Emily Hector, Lan Luo and Yiwang Zhou, presented their dissertation research papers at the Workshop on BFF (Bayes, Fiducial and Frequentist) Paradigm in Data Integration, Machine Learning and Applications, on Novemeber 2, 2019 at U-M School of Public Health.
August 2019: Congratulations to Emily Hector who received Honorable Mention of the Gertrude M. Cox Scholarship at the 2019 JSM, sponsored by the American Statistical Association (ASA) Committee on Women in Statistics and the Caucus for Women in Statistics (CWS).
June 2019: Congratulations to Margaret Banker for her co-first author paper "Early pregnancy exposure to endocrine disrupting chemical mixtures are associated with inflammatory changes in maternal and neonatal circulation" being selected as the Extramural Papers of the Month by NIEHS. Read the detail from the NIEHS Environmental Factor website.
May 2019: Two former lab trainees, Drs. Lu Tang and Mathieu Bray, came back to attend the graduation ceremony. Best wishes to both of you!
May 2019: Kudos to Lan Luo for her completion of dissertation proposal "Renewable estimation and incremental inference with streaming health datasets".
April 2019: Song Lab had a farewell dinner with Dr. Xichen She who successfully completed his postdoctoral training at Song Lab during March, 2017 - April, 2019. Dr. She began to work at Integated.AI Inc. in Toronto, Canada. Best wishes to Xichen for his future endeavor!
March 2019: The UM-SJTU Collaborative Initiative Project "Learning impact of air pollution on kidney disease epidemiology in US and east China using big public health data" held a joint meeting at UM School of Public Health. Chengwen Luo presented her research work done during her visit at UM Department of Biostatistics as a visiting scholar.
March 2019: At the 2019 ENAR, Song Lab demonstrated both reserach excellence and had some happy hours with former lab members.
March 2019: Kudos to Emily Hector for her success in dissertation proposal "Distributed estimation and inference for the analysis of big biomedical data".
February 2019: Congratulations to Lan Luo on receiving Rackham Predoctoral Fellowship that will fund her research on streaming health data analysis in year 2019-2020!
December 2018: Song Lab's End-of-Semester & Christmas Dining-out to celebrate all great accomplishments that we achieved together in year 2018!
December 2018: Congratulations to Lan Luo on receiving the ENAR Distinguished Student Paper Awards for the 2019 ENAR Spring Meeting. This award recognizes her paper entitled Real-time Regression Analysis of Streaming Health Datasets.
December 2018: Congratulations to Mathieu Bray for a successful defense of his thesis, entitled Advances in Methods, Algorithms and Software for Optimization and Simulation of Kidney Paired Donation Program. Dr. Bray will join GSK as a biostatistician in early 2019. Best wishes, Mathieu!
Nov 2018: Dr. Heping Zhang from Yale University visited our lab to discuss his lastest research, along with Dr. Lexin Li from UC Berkeley.
Oct 2018: The Song Lab says goodbye to Ling Zhou, who has returned to her native China after having completed her post-doctoral research appointment with the Song Lab.
Oct 2018: Lab members went on a half-day fall hiking at the Pinckney Recreation Area.
Oct 2018: Lan Luo received the 2018 MIDAS award for Most Innovative Use of Data for her poster Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Datasets at the MIDAS 2018 Annual Symposium. Congratulations Lan!
Sep 2018: Dr. Ying Wei from Columbia University Mailman School of Public Health visited our lab to discuss her lastest research.
Aug 2018: The Song Lab was well represented at JSM 2018 in Vancouver, with Margaret Banker, Mathieu Bray, Emily Hector, Wei Hao, Xichen She, Andrew Whiteman, and Yiwang Zhou all participating in either poster or contributed oral sessions.
Peter Song was also honored as an ASA Fellow: "For scholarly contributions to the theory, methods, and applications in the areas of dependent data, estimating functions, and computational statistics; for significant contributions to collaborative research in medicine and public health; for excellence in teaching and mentoring; and for dedicated service to the profession." Congratulations Peter!
June 2018: Congratulations to Lu Tang for a successful defense of his thesis, entitled Statistical Methods of Data Integration, Model Fusion, and Heterogeneity Detection in Big Biomedical Data Analysis. Dr. Tang will begin his appointment within the faculty of biostatistics at the University of Pittsburgh in the Fall. Best of luck in your future endeavours, Lu!
June 2018: Dr. Rafael Weissbach from the University of Rostock visisted our lab and presented his work on consistency for negative binomial regression with fixed covariates
May 2018: The BFF5 Conference was held from May 6-9, organized by Peter Song, Mathieu Bray, Emily Hector, and Lu Tang, with support from the Departments of Biostatistics and Statistics, the Michigan Institute for Data Science, and the University of Michigan Office of Research.
Apr 2018: Best of luck to Kat Hoffman and Christina Zhou, who have graduated with their MSc degrees from the Biostatistics department. Congratulations Kat and Christina!
Mar 2018: Congratulations to Christina Zhou for winning best poster presentation as judged by the ASA at MSSISS 2018, and to Emily Hector for her hand in organizing the successful event.
Mar 2018: Congratulations to Emily Hector on receiving the John Van Ryzin Award for the Most Outstanding Student Paper at ENAR 2018 in Atlanta! Emily's paper, titled A Distributed and Integrated Method of Moments for High-dimensional Correlated Data Analysis, went through three rounds of reviews and was ranked the top among 123 paper submissions.
2013: Dr. Song was awarded to the John von Neumann Visiting Professorship at Technische Universität München for outstanding research in the Mathematical Sciences, which was funded by the Bavarian Ministry of Science, Research and Art.
Apr 2012: Congratulations to Peisong for his receiving the Student Paper Award for the 2012 ICSA Applied Statistics Symposium in Boston, MA. The award recognizes his excellent paper entitled "Efficient Estimation For Missing Outcome Data With Surrogate Using Conditional Empirical Likelihood", co-advised by Dr. Lu Wang and Dr. Song.
Mar 2012: Yijiang Li has been selected to receive one of the International Biometric Society's Eastern North American Region (ENAR) Distinguished Student Paper Awards for the 2012 ENAR Spring Meetings in Washington, DC. The award recognizes his excellent paper entitled: Optimization and simulation of an evolving kidney paired donation (KPD) program, co-supervised by Jack Kalbfleisch and Dr. Song. Congratulations to Yijiang!
Mar 2012: Peisong Han has been selected to receive one of the International Biometric Society Eastern North American Region's (ENAR) Distinguished Student Paper Awards for the 2012 ENAR Spring Meetings in Washington DC. The award recognizes his excellent paper on empirical likelihood estimation with missing data, co-supervised by Dr. Lu Wang and Dr. Song. Congratulations to Peisong!
Jan 2012: Congratulations to Peisong Han who received the JSM student paper award from the Biometric Section for his paper entitled "Smoothed empirical likelihood inference for unbalanced longitudinal data". The paper is also selected as one of the finalists for the award from the ASA Nonparametric Statistics Section. This work is based on Peisong Han's first dissertation paper co-supervised by Dr. Lu Wang and Dr. Song.
Mar 2011: Congratulations to Fei Wang who received notification from the SCT Student Scholarship Committee that his abstract was selected as a finalist for the SCT Thomas Chalmers Student Scholarship. He is invited to present his paper, “Validating Data Merging in Longitudinal Studies and Joint Modeling of Merged Longitudinal Data,” at the 32nd Annual Meeting of the Society for Clinical Trials, May 15-18, 2011, in Vancouver, BC, Canada.
Mar 2009: Bin Zhu has been selected to receive one of the International Biometric Society Eastern North American Region's (ENAR) Distinguished Student Paper Awards for the paper “Stochastic Functional Data Analysis: A Diffusion Model-based Approach” at the 2009 ENAR Spring Meeting in San Antonio, TX. The updated version of this paper also received 2009 ASA Student Paper Competition Award sponsored by the Bayesian Statistical Science Section at 2009 JSM in Washington, DC. This work is co-supervised by Dr. Jeremy Taylor and Dr. Song. Congratulations to Bin!
2019 JSM/Summer Intern Experiences - All lab members
09/09/2019 3:00PM, SPH II M1138
Tips on publishing methodology papers - Peter Song
09/16/2019 3:00PM, SPH II M1138
Distributed inference - Emily Hector
09/23/2019 3:00PM, SPH II M1138
L0 mediator selection - Wen Wang
09/30/2019 3:00PM, SPH II M1138
Mediation Analysis - Kai Kang(visiting PhD student from Chinese University of Hong Kong)
10/07/2017 3:00PM, SPH II M1138
Synergistic self-learning - Yiwang Zhou
10/21/2019 3:00PM, SPH II M1138
Streaming data integration in real-time regression analysis - Lan Luo
10/28/2019 3:00PM, SPH II M1138
Asymptotically independent U-statistics in high-dimensional testing -Yinqu He
11/04/2019 3:00PM, SPH II M1138
Functional regression and accelerometry analysis - Margaret Banker
11/11/2019 3:00PM, SPH II M1138
Copula random field wih application to massive neuroimaging data analysis - Jie He
11/18/2019 3:00PM, SPH II M1138
Inference of joint mediation effect with multiple mediators - Wei Hao
11/25/2019 3:00PM, SPH II M1138
TBA - Lili Wang
12/02/2019 3:00PM, SPH II M1138
Functional regression - Joe Naiman
12/09/2019 3:00PM, SPH II M1138
09/14/2018 1:00PM, SPH II M4332
09/19/2018 3:00PM, SPH II M1123
Dr. Ying Wei (Columbia University)
09/26/2018 2:00PM, SPH II M1123
10/03/2018 2:00PM, SPH II M1123
Xiaoqing Wang (Post-Doctoral Candidate - Chinese University of Hong Kong)
10/10/2018 2:00PM, SPH II M1123
10/24/2018 3:00PM, SPH I 1680
10/31/2018 2:00PM, SPH II M1123
Dr. Heping Zhang (Yale University)
11/02/2018 1:30PM, TBD
11/14/2018 2:00PM, SPH II M1123
11/28/2018 2:00PM, SPH I 1680
12/05/2018 2:00PM, SPH II M1123
12/12/2018 2:00PM, SPH II M1123
Fusion Learning in Integrative Analysis - Lu Tang
1/10/2018 2:00PM, M1138 SPH II
Neural Networks - Zac Zhang
1/17/2018 2:00PM, M1138 SPH II
L0 Homogeniety Pursuit - Wen Wang
1/24/2018 2:00PM, M1138 SPH II
Impact of Air Pollution on End Stage Renal Failure - Kat Hoffman
1/31/2018 2:00PM, M1138 SPH II
Introduction to Quasilikelihood - Emily Hector
2/7/2018 2:00PM, M1138 SPH II
Renewable Estimation in GEE and QIF - Lan Luo
2/14/2018 2:00PM, M1138 SPH II
KPDGUI Software Demonstration & GUI Programming - Mathieu Bray
2/21/2018 2:00PM, M1138 SPH II
Introduction to Support Vector Machines (SVM) - Yiwang Zhou
3/7/2018 2:00PM, M1138 SPH II
Semi-supervised Support Vector Machines - Xichen She
3/14/2018 2:00PM, M1138 SPH II
ENAR/MSSISS Rehearsal Talks
3/21/2018 2:00PM, M1138 SPH II
Introduction to UK Biobank Database - Yiwang Zhou
3/21/2018 2:00PM, M1138 SPH II
Introduction to ADMM Algorithm - Ling Zhou
4/4/2018 2:00PM, M1138 SPH II
Discussion of "Estimating the Mean and Covariance Structure Nonparametrically When the Data are Curves" - Margaret Banker
4/11/2018 2:00PM, M1138 SPH II
Discussion of "Conceptual Issues Concerning Mediation, Interventions and Composition" - Wei Hao
4/18/2018 2:00PM, M1138 SPH II
Tensor Decomposition - Mathieu Bray
9/13/2017 2:00PM, M1122 SPH II
Ranking Model - Lu Tang
9/18/2017 3:00PM, M4332 SPH II
Spatially Varying Coefficient Model - Emily Hector
9/27/2017 2:00PM, 2758 SPH I
Stochastic Gradient Descent - Lan Luo
10/4/2017 2:00PM, M1122 SPH II
L0 Homogeneity Pursuit - Wen Wang
10/25/2017 2:00PM, M1122 SPH II
DOHaD Talk - Christina Zhou
11/1/2017 2:00PM, M1122 SPH II
LASSO for Latent Indices - Francis Hui (ANU)
11/8/2017 2:00PM, M1122 SPH II
Controlling the false discovery rate via knockoffs - Ling Zhou
11/29/2017 2:00PM, M1122 SPH II
Mediation Analysis via Copula - Wei Hao
12/6/2017 2:00PM, M1122 SPH II
Assessing the regularity of circadian patterns over time - Xichen She
12/13/2017 2:00PM, M1122 SPH II
Structural Equations and Path Analysis for Discrete Data - Wei Hao
1/23/2017 3:00PM, 1750 SPH I
Hierarchical Clustering and K Nearest Neighbour Method based on Similarity - Peng Zhang
1/30/2017 3:00PM, 1750 SPH I
Minimum Edge Cut and Algorithms - Wen Wang
2/6/2017 3:00PM, 1750 SPH I
Renewal MLE for Streaming Data Analysis - Lan Luo
2/13/2017 3:00PM, 1750 SPH I
Kidney Paired Donation - ENAR Talk - Mathieu Bray
2/20/2017 3:00PM, 1750 SPH I
High-dimensional Imaging Data - Emily Hector
3/6/2017 2:30PM, 1750 SPH I
Introduction to GPU Computation - Jian Kang
3/20/2017 3:00PM, 1750 SPH I
Streaming and Spark Examples on Hadoop Cluster - Lu Tang
3/27/2017 3:00PM, 1750 SPH I
Model Calibration using Big Data - Ling Zhou
4/3/2017 3:00PM, 1750 SPH I
Optimal Partitioning of Data on an Interval - Margaret Banker
4/10/2017 3:00PM, 1750 SPH I
Algorithms for the Detection of Change Points on Time Series - Jonggyu Baek
4/17/2017 3:00PM, 1750 SPH I
Accelerometry Data Analysis - Margaret Banker
10/31/2016 2:00PM, M4034 SPH II
Quadratic Inference Functions - Emily Hector
10/28/2016 12:00PM (new schedule), M1138 SPH II
Multi-Layer Networks - Mathieu Bray
10/17/2016 2:00PM, M4034 SPH II
Renewal Estimator for Steaming Data - Lan Luo
10/3/2016 2:00PM, M4034 SPH II
Combinatorial Infernece - Han Liu (Princeton)
9/26/2016 2:00PM, M4645 SPH I
Method of Divide-and-Combine - Lu Tang
9/19/2016 2:00PM, M4034 SPH II
Contraction-Expansion Method - Ling Zhou
9/12/2016 2:00PM, 2750 SPH I
Survival model - Ling Zhou
4/8/2016 4:00PM, M4034 SPH2
Network problem in kidney paired donation - Wen Wang
4/1/2016 4:00PM, M4034 SPH2
Meeting with visitors
3/11/2016 4:00PM, 1750 SPH1
Division and conquer - Lu Tang
2/26/2016 4:00PM, M4318 SPH2
Simex algorithm for measurement error - Emily Hector
2/12/2016 4:30PM, M4034 SPH2
Estimating mediated effects in prevention studies - Wei Hao
1/29/2016 4:00PM, M4034 SPH2
Adaptive design - Yanqing Yi
1/15/2016 4:30PM, M4034 SPH2
R package Tessera for big data analysis - Ling Zhou
Supervised PCA - Mathieu Bray
Clustering in graphic model - Wen Wang
DNA methylation arrays papers - Emily Hector
Plans for ENAR 2016 (title and abstract submissions)
Degree of freedom - Wen Wang
ENAR experience sharing
Data integration - Lu Tang
About publication - Peter Song
Demonstration of KPD software - Mathieu Bray
Proposal rehearsal - Wei Ding