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
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