QSU Seminars

The Quantitative Sciences Unit (QSU) hosts a forum to discuss research methods in medicine held on the first Tuesday of every month.  This seminar series is tailored to clinical investigators interested in research methods.

The Research Methods Seminar is an interactive and informal journal club-type format where topical papers in medical research, particularly relevant to faculty in the Department of Medicine, are discussed with an emphasis on the methods and/or study design.

QSU Research Methods Seminar

Location: 3180 Porter Drive, Palo Alto CA 94304

Time: 4-5pm first Tuesday of the month (unless otherwise noted)

 Refreshments served

Free parking

Upcoming Seminar

QSU Research Methods Seminar

Tuesday May 2, 2023 at 4:00pm

join the seminar remotely via: 

https://stanford.zoom.us/j/98936539438?pwd=YW05aXJFbnBmQzNRcWtPaUZLSTNhdz09&from=addon     Password: 807652


We welcome your suggestions for the seminar series and are happy to answer any questions you may have - please contact Ni Deng (nideng@stanford.edu)

We look forward to seeing you at our next seminar!

Past Seminars

May 2023
Mike Baiocchi, PhD
How to tell the difference between machine learning and traditional (bio)statistics
  • April 2023
  • Will Stahl-Timmins, PhD
  • Visualizing health-related information at The BMJ (British Medical Journal)
  • March 2023
  • Sandra Andorf, PhD
  • Publicly available clinical trial data - a secondary analysis example and our work on Immport.
  • February 2023
  • Vivek Charu, MD, PhD
  • A review of selected statistical methods for estimating heterogenous treatment effects in randomized trials
  • Janaury 2023
  • Hunyong Cho, PhD
  • When reinforcement learning meets survival outcomes—dynamic treatment regimes for censored data
  • November 2022
  • Tianchen Qian, PhD
  • Improving the efficiency of causal excursion effect estimation via machine learning, with application to micro-randomized trials
  • October 2022
  • Mika Braginsky, PhD
  • Tools for fitting generalized linear mixed-effects models in Julia from R
  • May 2022
  • Tina Hernandez-Boussard, PhD
  • Building Reliable Clinical Decision Support
  • April 2022
  • Iona Cheng, PhD, MPH
  • Advance Cancer Disparities Research through Data Integration
  • March 2022
  • Maria E. Montez Rath, PhD
  • How to Generalize or Transport a Clinical Trial Finding to a Target Population of Interest
  • February, 2022
  • James Pustejovsky, PhD
  • Selective Outcome Reporting in Meta-Analysis of Depenent Effect Size Estimates
  • January 2022
  • Cheng-Shiun Leu, PhD
  • A Noval Approach When Facing Emerging Infectious Disease - Randomized Selection Design
  • December 2021
  • Ruben Paul Adriann van Eijk, MD, PhD
  • Functional Loss and Mortality in Randomized Clinical Trials for Amyotrophic Lateral Sclerosis
  • November 2021
  • Margot Gerritsen, PhD, Arghavan Salles, MD, PhD, Laura Scott, PhD, Manisha Desai, PhD
  • Special Panel Discussion " Picture a Scientist" 
  • Ocotber 2021
  • Michiko Wolcott, CMC
  • Data Management and Quality for Analytics Practitioners
  • May 2021
  • Andrea Troxel, ScD
  • Pooling Data from Individual Clinical Trials in the COVID-19 Era
  • April 2021
  • Emilia Bagiella, PhD
  • Use of Registry and EHR Data in Clinical Research
  • March 2021
  • Rosalyn Plotzker, MD, MPH
  • COVID-19 Control and Response: from Practice to Research
  • February 2021
  • Chris Lindsell, PhD
  • Seizing the opportunity: evolutions in clinical trial design and monitoring in the setting of a pandemic
  • January 2021
  • Mimi Kim, ScD
  • Non-inferiority Trials and Tribulations
  • December 2020
  • Debashis Ghosh, PhD
  • Thinking causally in high dimensions
  • November 2020
  • Suzanne Tamang, PhD
  • Next Generation Informatics for Population Health Management and Measurement
  • October 2020
  • Bogdan Luca, PhD
  • Atlas of clinically-distinct cell states and cellular ecosystems across human solid tumors
  • May 2020
  • Serena Yeung, PhD
  • Using computer vision to study surgeon performance from surgical video
  • April 2020
  • Steven M. Kawut, MD, MSCE
  • Phase II Trials (and Tribulations) in Pulmonary Arterial Hypertension
  • March 2020
  • Mitchell Lunn, MD,MAS, FASN
  • The PRIDE Study: A Longitudinal, Online-Only, Cohort Study of Sexual and Gender Minority Health
  • February 2020
  • Melissa Bondy, PhD
  • Molecular and Genetic Epidemiology of Glioma
  • December 2019
  • David Scheinker, PhD
  • Machine and Deep Learning Hospital Improvement Projects; Lessons From Failure and Success
  • November, 2019
  • Maya Mathur, PhD
  • Sensitivity analysis for publication bias in meta-analyses
  • October 2019
  • Nilotpal Sanyal, PhD
  • Novel methods for parsimonious SNP selection in GWAS and rebust SNP-by-environment interaction tests
  • April 2019
  • Mehlika Toy, PhD
  • Building Mathematical Models to Influence Health Policy: The Case of Chronic Hepatitis B
  • March 2019
  • Nima Aghaeepour, PhD and Brice Gaudilliere, MD, PhD
  • Characterization of the Immune System during Pregnancy at Single Cell and Multiomics Levels 
  • February 2019
  • Susan Athey, PhD
  • Machine Learning and Causal Inference for Heterogeneous Treatment Effects
  • December 2018
  • Julia Palacios, PhD
  • Forecasting influenza from genetics and count data
  • Novmber 2018
  • Charles McCulloch, PhD
  • Improving the prediction of extreme clusters in multilevel data
  • October 2018
  • Jonathan Chen, MD, PhD
  • Wisdom of the Crowd or Tyranny of the Mob? Discovering and Distributing the Latent Knowledge Embedded in Clinical Data
  • Auguest 2018
  • Drew Levy, PhD
  • Managing Uncertainty: Evidence Quality and Personalized Health Decision-making
  • May 2018
  • Mithat Gönen, PhD
  • Analysis of Drug Development Portfolios
  • May 2018
  • Dheeraj Raju, PhD
  • An Evaluation of the US Army Nurse Corps Patient CaringTouch System: From Project Inception to Final Report
  • March 2018
  • Shouhao Zhou, PhD
  • Prediction of Longitudinal Biomarker Distributions Using Bayesian Semiparametric Beta Regression
  • April 2018
  • Pranav Samir Rajpurkar, PhD candidate
  • An introduction to deep learning and convolutional neural networks and presentation of CheXNet: Radiologist-level pneumonia detection on chest X-rays
  • March 2018
  • Zihuai He, PhD
  • A semi-supervised approach for Predicting cell type/tissue specific functional consequences of non-coding variation using massively parallel reporter assays
  • March 2018
  • Himel Mallick, PhD
  • The Human Microbiome and Public Health
  • February 2018
  • Summer Han, PhD
  • Novel statistical methods for identifying interactions between genes and environmental exposures for complex diseases
  • January 2018
  • Jeffrey Blume, PhD
  • Second-Generation p-values
  • December, 2017
  • Andrew Gentles, PhD
  • Clinically-relevant interaction networks in the lung cancer tumor microenvironment
  • November, 2017
  • Kristen Cunanan, PhD
  • A Bayesian basket trial design and its statistical properties
  • October, 2017
  • Chiara Sabatii, PhD
  • Testing hypotheses on a tree: new error rates and controlling strategies
  • May, 2017
  • Joseph Rigdon, PhD
  • Improved Development and Validation of Clinical Risk Scores for Benefit and Harm from Intensive Blood Pressure Treatment: A Machine Learning Approach
  • April 2017
  • Trevor Hastie, PhD
  • Statistical Learning with Sparsity
  • Februrary, 2017
  • Susan Holmes, PhD
  • Reproducible research: the challenges of the human microbiome
  • January, 2017
  • Anna Liza Antonio, MS, candidate of DrPH
  • A Hierarchical Bayes Model for Patient Preferences Elicited through Discrete Choice Experiments
  • December, 2016
  • John Whitte, PhD
  • Methods for evaluating the shared genetic basis of common diseases 
  • November 2016
  • Jonathan Taylor, PhD
  • “Selective inference in linear regression”
  • October 2016
  • Michael Baiocchi, PhD
  • "The IMP: Interference Manipulating Permutation"
  • May 2016
  • Andre Valdez, PhD 
  • Using Accelerometry data to study patterns of sleep and performance in blood and marrow transplantation patients
  • April 2016
  • Susan Weber, PhD
  • "Stanford Center for Clinical Informatics Services Overview" 
  • March 2016
  • Andrew Spieker, PhD
  • "Accounting for endogenous medication use when estimating natural biomarker associations using observational data"
  • February 2016
  • Philip Lavori, PhD
  • "A tale of two studies, and 'Stump-the-Chump, the Sequel!' "
  • January 2016
  • Eric Bair, PhD
  • "Random forest importance scores: significance testing and conditional importance"
  • January 2016
  • Andrew Gentles, PhD
  • "The prognostic landscape of genes and infiltrating immune cells across human cancers"
  • December 2015
  • James Dai, PhD
  • "Constraints and orthogonality:  powerful tests for gene-treatment and gene-environment interactions"
  • November 2015
  • Lu Tian, PhD
  • "Exact Inference on the Restricted Mean Survival Time" 
  • October 2015
  • Joseph Rigdon
  • "Exact Confidence Intervals in the Presence of Interference" 
  • April 2015
  • Helena Kraemer
  • “Why Most Published Research Findings are False” Why?
  • March 2015
  • Rita Popat
  • Reliability and Validity Studies: Design and Analytic Approaches
  • Slides for Dr. Rita Popat's presentation can be found here.
  • Benedict Anchang
  • Modeling Cellular Decision Making Processes using Nested Effects Models with Application to Optimizing Drug Combinations
  • Mei-Chiung Shih
  • Innovative Designs of Point of Care Comparative Effectiveness Trials
  • Shanshan Li
  • Recurrent Event Data Analysis With Intermittently Observed Time-Varying Covariates
  • February 2015
  • Armin Schwartzman
  • Image Comparison Problems in Biomedicine
  • Summer Han
  • Statistical methods for genetic associations, gene-environment interactions, and population-level cancer screening
  • Linda Valeri
  • Understanding Racial/Ethnic Disparities In Cancer Survival – A Counterfactual Approach For Conceptual And Missing Data Issues
  • December 2014
  • Phil Lavori
  • If You Need A Statistician To Analyze Your Data, You Should Do A Better Experiment
  • November 2014
  • Hua Tang
  • Challenges and Opportunities in Complex Trait Genetics in Minority Populations
  • October 2014
  • Joseph Rigdon
  • Causal Inference for Binary Data with Interference
  • Nandita Mitra
  • Assessing the sensitivity of cost-effectiveness measures to unmeasured confounding
  • May 2014
  • Amrita Ray
  • Accounting for family relationship errors in genetic studies: focusing on linkage analysis
  • April 2014
  • Sanjay Basu
  • Interpreting Mathematical Simulation Models Applied To Comparative And Cost-Effectiveness Analyses For Population Health Problems
  • March 2014
  • Josephine Asafu-Adjei 
  • Matching and Covariate Adjustment in Discrimination and Bayesian Variable Selection
  • February 2014
    Haley Hedlin
  • An Introduction to Time Series Analysis with Examples from Neuroscience
  • Bruce Swihart
  • Sleep Hypnograms, Insurance Claims, & Hand Movement After Stroke: Big Data and Potentially Many Weak, Predictive Signals
  • Benjamin Goldstein
  • Improving Clinical Decision Making: Three Models for Collaborative Academic Biostatistics
  • Yan Ma
    Improved Statistical Methods for Evidence-based Medicine: Meta-analysis for Multiple Outcomes

December 2013
Steven Goodman
What do P-values mean? Probably not what you think

November 2013
Nigam Shah
Generating Practice-based Evidence from Electronic Health Records

September 2013
David Rogosa
Statistical Methods for Longitudinal Research

May 2013
Aya Mitani
Multiple Imputation in Practice -- Approaches for handling categorical and interaction variables

April 2013
Kristin Sainani
Writing about Biostatistics

March 2013
Iryna V. Lobach
Analysis of Gene-Environment Interactions with Measurement Errors in Environmental Exposures

February 2013
Ying Lu
Statistical Designs for Phase I Cancer Clinical Trials

December 2012
Sergio Bacallado
An Introduction to Bayesian Analysis Using Case Studies in Medical Research

November 2012
Kristin Sainani
Introduction to Propensity Scores

October 2012
John Ioannidis
Genetic Prediction Models: Practice, Metrics and a Discovery Extension

May 2012 
Ben Goldstein
Predicting Acute Sudden Cardiac Death using Electronic Health Records
April 2012 
Sepideh Modrek
An Application of Instrumental Variables: Maternal Education as a Driver for Eliminating Female Circumcision
March 2012
Hui Wang
Applications of Targeted MLE Based Variable Importance Measurement in Dimension Reduction with Gene Expression Data
February 2012
Mike Baiocchi
Estimating the Effectiveness of Intensity of Care on Rates of Death for Premature Infants
January 2012
Raúl Aguilar
Things You Can Do When You Have Missing Covariates
December 2011
David Shilane
Comparative Effectiveness Research in Cardiology with Messy Data
November 2011
Ben Goldstein
Prediction in Medical Studies: What, Why & How
October 2011
Jane Paik
Using Regression Models to Analyze Randomized Trials: Robustness of Survival Models to Misspecification
September 2011
David Rehkopf
Applying Machine Learning Algorithm to Answer Questions from Observational Data: Essential Complement or Dangerous Tool?
June 2011
Susan Gruber
Targeted Maximum Likelihood Estimation for Causal Inference
May 2011
Gunnar Carlsson
Topological Data Analysis for Biology
April 2011
Maria E Montez-Rath
Methods for Handling Survey Data
March 2011
Mark Cullen, Manisha Desai, Jessica Kubo
Modeling the Hazard of Injury as a Function of Experience Among Hourly Aluminum Manufacturing Workers
February 2011
Jose Montoya

Could a Recently Found Virus, XMRV, Cause Chronic Fatigue Syndrome?
January 2011
Manisha Desai
An Introduction to Missing Data and Imputation Methods
December 2010
Wolfgang Winkelmayer
Propensity Scores
November 2010
Jay Bhattacharya
Does Swan-Ganz Catheterization Increase Mortality in the ICU? An Instrumental Variables Bounding Approach
October 2010
Tim Assimes

Epidemiological Issues in Contemporary Human Genetic Studies

September 2010
Doug Owens
Where Angels Dare not Tread: Development of a Guideline for Screening Mammography in 40 to 49 year Old Women