Biostatistics Seminars

2020-2021 Academic Year

Date
Speaker
Title
May 6, 2021
Sudipta Saha
Causal Inference Methods for Secondary Analysis of Randomized Screening Trials
April 29, 2021
Sumin Kim
Transcriptome-wide Association Study of Knee Osteoarthritis
March 25, 2021
Dongyang Yang
Unsupervised Clustering for Human Microbiome Sequencing Data
March 25, 2021
Linke Li
Generating High Utility Synthetic Data for Small Clinical Datasets
March 23, 2021
Clement Ma
Bayesian Adaptive Clinical Trials & Pediatric Oncology
March 9, 2021
Catherine Njue
COVID Research at Health Canada
March 4, 2021
Lehang Zhong
Modern profile likelihood inference: Application to differential gene expression analysis
March 2, 2021
Benjamin Haibe-Kains
Improving Reproducibility in Biostatistics and Machine Learning Research
February 25, 2021
Jiahui Zhang
Machine learning algorithm on longitudinal data and time-to-event outcomes
February 23, 2021
Divya Shama
Convolutional Neural Networks for Analysis and Prediction from Microbiome Data
February 4, 2021
Ziqian Zhuang
HDSI: High Dimensional Selection with Interactions Algorithm on Feature Selection
February 4, 2021
Sanjot Grewal
An Overview of Missing Data and Various Imputation Methods
January 28, 2021
Yao (Jenny) Li
Causal association of polygenic risk score for inflammatory bowel disease with psychiatric comorbidity
January 28, 2021
Larry Dong
An Overview of Dynamic Treatment Regimes and its Recent Extensions
January 26, 2021
Lennon Li
Intro to Spatial Statistics
January 26, 2021
Carmen Kong
An Introduction to Geographic Information Systems (GIS)
January 21, 2021
Yimeng (Naomi) Chang
Estimating Health Care Costs with Censored Data
January 19, 2021
Aya Mitani
How to Write Your Own R Package and Upload It to GitHub
January 14, 2021
Gengming He
Graphical LASSO and Gene Co-expression Network Analysis
December 1, 2020
Bei Jiang
Balancing Inferential Integrity and Disclosure Risk
via Model Targeted Masking and Multiple
Imputation
November 24, 2020
Vicky Landsman
Application of Overdispersion Models to Blinding
Assessment
November 19, 2020
Sangook Kim
Genome-wide association tests in the presence of latent genetic interactions
November 17, 2020
Daniel Felsky
Linking Central and Peripheral Inflammation in
Alzheimer’s Disease Using Integrative Statistical
Approaches and Multi-'omics Data
November 5, 2020
Bo Chen
Causal variance decompositions for evaluating health care provider performance
October 29, 2020
Boxi Lin
Semiparametric Inference of Two Zero-excess Populations under A Density Ratio Model
October 15, 2020
Christopher Meaney
Phenotyping Electronic Health Records
October 13, 2020
C. F. Jeff Wu
cmenet - A new method for bi-level variable
selection of conditional main effects (CMEs)
October 8, 2020
Alexandra Bushby
Data Visualization
October 6, 2020
Lisa Avery
&
Michael Rotondi
Investigating regression techniques for respondent-driven sampling with applications to cardiovascular disease in urban Indigenous communities
September 24, 2020
Derek Latremouille
Distance Concentration Phenomena in High-Dimensional Statistics & Machine Learning

2019-2020 Academic Year

Date
Speaker
Title
April 2, 2020
Leif Erik Lovblom
Latent Trajectory Models for Longitudinal Data Analysis: Applications for Diabetes Complications
April 2, 2020
Yi Meng Chang
Joint Modeling of Longitudinal Data and Survival Endpoints
March 26, 2020
Kaviul Khan
Identifying Important Inputs for Black Box Machine Learning Methods
March 26, 2020
Jerry Lin
LIME & SHAP: Local Interpretable Explanations
March 12, 2020
Sumeet Kalia
Causal inference using electronic health records in primary care
March 5, 2020
Derek Latremouille
Distance Concentration Phenomena & Bayesian Mixture Models
February 27, 2020
Jiahui Zhang
Clustering colorectal cancer patients using longitudinal QoL measures
February 13, 2020
Boxi Lin
Robust methods for genetic association studies accounting for model uncertainties
February 13, 2020
Kuan Liu
A Bayesian latent class approach to causal inferencewith longitudinal data
February 6, 2020
Alex Bushby
Data Visualization in R
February 4, 2020
Yun-Hee Choi
Applications of Shared Frailty Models for Cancer Risk Estimation and Evaluation Using Clustered Time-to-event Data Arising from Family-based Genetic Studies
January 30, 2020
Rose Garrett
Analysis of irregularly observed longitudinal data in a Bayesian framework: leveraging physician-recommended gap times
January 30, 2020
Dongyang Yang
Clustering on Human Microbiome Sequencing Data
January 28, 2020
Samantha-Jo Caetano
Concordance Measures for Validating Time-to-event Models
January 16, 2020
Lehang Zhong
Differential gene expression analysis tools for RNA-seq data
January 14, 2020
Colin Preyra
Social Determinants in Health Care: What are They, How are They Measured, and Why Do They Matter?
January 9, 2020
Jason Cheng
Network Meta-Analysis: a Model for RepeatedMeasures and a Model for Multiple Outcomes
November 28, 2019
Sudipta Saha
Efficiency gain of subgroup effects in screening trials from covariate adjustment
November 21, 2019
Zihang Lu
Bayesian growth mixture model for clustering longitudinal data
November 14, 2019
Gengming He
Transcriptome-wide Association Study: Integrating GWAS with gene expression data
November 5, 2019
Jooyoung Lee
Weighting Estimators for Cox Regression for Studying Etiological Heterogeneity with Partially Observed Multiple Markers
October 31, 2019
Mohsen Soltanifar
Stop Signal Reaction Times: New Estimation Methods with Longitudinal, Bayesian and Time Series Based Methods
October 24, 2019
Thai-Son Tang
Methods for Causal Mediation Analysis with High Mediation Mediators
October 17, 2019
Xiaoqiong Joan Hu
Statistical Issues in Administrative Data Analysis
October 10, 2019
Olli Saarela
How to Publish a Methodological Paper
October 3, 2019
Mehdi Rostami
Neural Networks in Causal Inference
September 26, 2019
Michael Escobar
Some Comments on Giving a Seminar
September 26, 2019
Kuan Liu
Spatial Analysis of Cannabis and Tobacco Consumption among Youth and Adults
September 24, 2019
Pingzhao Hu
Integrative Bioinformatics Analysis for Identifying Breast Cancer Susceptibility Genes and Repurposing Drugs for Breast Cancer Using Genetic Information

2018-2019 Academic Year

Date
Speaker
Title
April 4, 2019
Sumeet Kalia
Causal Inference in the Presence of Measurement Bias
April 4, 2019
Mehdi Rostami
Neural Networks in Causal Inference
March 28, 2019
Eman Abo Alya
Introduction to Statistical Methods in Precision Medicine
March 28, 2019
Mohsen Soltanifar
A Time Series based Point Estimation of Stop Signal Reaction Times
March 21, 2019
Mohammad Kaviul Anam Khan
Identifying Important Predictors for Black Box Machine Learning Methods
March 21, 2019
Shahriar Shams
Determining Number of Health States and Number of Participants in EQ-5D-3L Valuation Studies
March 14, 2019
Gengming He
From differential expression to differential networking: compare gene expression networking across human bronchial epithelia and nasal epithelia
March 14, 2019
Pai-Shan (Jason) Cheng
Network Meta-Analysis for Healthcare Decision Making
March 12, 2019
Victoria Landsman
Estimation of Domain Means from a Business Survey in Presence of Stratum Jumpers and Low Response Rate
March 7, 2019
Rose Garrett
Bayesian estimation of irregularity with longitudinal data
March 7, 2019
Hyejung Jung
Principal component analysis for ordinal data
March 5, 2019
Bruno Roza da Costa
Individual Patient Data Meta-analysis: Beyond the Grand Mean
February 28, 2019
Lehang Zhong
A Guide to Polygenic Risk Scores, its Limitations, and Beyond
February 28, 2019
Yu-Chung (Jerry) Lin
Robust Adjusted Profile Likelihood Ratios for the Analysis of Differential Gene Expression
February 26, 2019
Anna Heath
Value of Information as a Tool for Clinical Trial Design
February 14, 2019
Mitchell Sutton
Data Mining & Big Data Analysis of Health Administrative Data
February 14, 2019
Changchang Xu
Improving Mixture Cure Modelling of Multiple Molecular Factors in Cancer Prognosis (Penalized Likelihood Method for Mixture Cure Analysis on Multiple Imputed Data)
February 7, 2019
Derek Latremouille
Dimensionality Reduction for Dirichlet Process Mixture Regression
January 31, 2019
Erik Lovblom
The Statistical Evaluation of Diagnostic Medical Tests with Applications for the Screening of Diabetes Complications
January 31, 2019
Jingxiong (Amelia) Xu
A Bayes Factor Approach with Informative Prior for the Analysis of Next Generation Sequencing Data
January 29, 2019
Pingzhao Hu
Deep Learning for Magnetic Resonance Imaging-genomic Mapping of Invasive Breast Carcinoma
January 24, 2019
Thai-Son Tang
Study Designs for Causal Mediation Analysis in Randomized Controlled Trials
January 24, 2019
Dongyang Yang
Introduction of Statistical Methods on Microbiome Sequencing Data
January 10, 2019
Christopher Meaney
Learning Vector-Representations of Patient EMR Data: Applications in Medical Informatics Research
November 29, 2018
Kuan Liu
On Bayesian estimation of causal effect with a latent confounder class
November 29, 2018
Bo Chen
Causal variance decompositions for evaluating health care provider performance
November 27, 2018
Charlie Keown-Stoneman
Introduction, the TARGet Kids Registry, and Previous Research in Survival Analysis
November 22, 2018
Osvaldo Espin-Garcia
Optimal Two-phase Sampling Designs for post-Genome-wide Association Fine-mapping Studies
November 20, 2018
Bei Jiang
A Bayesian Approach to Joint Modeling of Matrix-valued Imaging Data and Treatment Outcome with Applications to Depression Studies
November 15, 2018
Sudipta Saha
Causal Inference Methods for Secondary Analysis and Planning of Randomized Screening Trials
November 13, 2018
Melanie Poulin-Costello & Matthew Kowgier
The Statistical Power of Drug Development
November 8, 2018
Zihang Lu
Bayesian variable selection with missing covariates in model-based clustering of longitudinal data
November 6, 2018
Susan Bondy
Introduction to and Applications of Epidemiology
November 1, 2018
Sangook Kim
Defining phenotypes with non-ignorable missingness on the basis of heritability: Application to lung disease in cystic fibrosis
October 30, 2018
Susan A. Murphy
Challenges in Developing Learning Algorithms to Personalize Treatment in Real Time
October 25, 2018
Armend Lokku
Summary metrics for irregular longitudinal data
October 9, 2018
Michael Escobar
Big Data analysis for understanding instead of predicting: an example with ICD-10 diagnostic codes and traumatic brain injury
September 27, 2018
Katherine Daignault
Causal mediation analysis for standardized mortality ratios
September 25, 2018
David Soave
Population Health Cohorts and Two-Phase Studies