Causal Day 1 (July 24)
Location: Arthur H. Rubenstein Auditorium, Smilow Center for Translational Research (SCTR)
| 7:00am-8:00am | Registration; Coffee, light breakfast |
| 8:00am-8:15am | Welcome and overview |
| 8:15am-9:45am | Introduction to causal inference: potential outcomes / counterfactuals; DAGs / confounding; causal assumptions |
| 9:45am-10:00am | Break |
| 10:00am-11:30am | Estimation of treatment effects: matching; propensity scores; inverse probability of treatment weighting |
| 11:30am-1:00pm | Lunch (on your own) |
| 1:00pm-2:00pm | Computer session on estimation of treatment effects |
| 2:00pm-3:30pm | Instrumental variables part I |
| 3:30pm-3:45pm | Break |
| 3:45pm-5:00pm | Instrumental variables part II |
Causal Day 2 (July 25)
Location: Arthur H. Rubenstein Auditorium, Smilow Center for Translational Research (SCTR)
| 7:00am-8:00am | Registration; Coffee, light breakfast |
| 8:00am-8:15am | Welcome and overview |
| 8:15am-9:45am |
Overview of time-dependent confounding: DAGs; causal assumptions; static versus dynamic regimes; how to set up data |
| 9:45am-10:00am | Break |
| 10:00am-11:30am | Marginal structural models (MSMs) |
| 11:30am-1:00pm | Lunch (on your own) |
| 1:00pm-2:00pm | Computing session on MSMs |
| 2:00pm-3:30pm | Double robustness and machine learning in causal inference, including targeted maximum likelihood estimation (TMLE) |
| 3:30pm-3:45pm | Break |
| 3:45pm-5:00pm | Computing session on TMLE |
Big Data Day 1 (July 26)
Location: Arthur H. Rubenstein Auditorium, Smilow Center for Translational Research (SCTR)
|
7:00am-8:00am |
Registration; Coffee, light breakfast |
|
8:00am-8:15am |
Welcome and overview |
|
8:15am-9:45am |
Overview of Big Data in Biomedical Research: unsupervised learning, dimension reduction, nonnegative matrix factorization, sparse clustering, R programs and applications. |
|
9:45am-10:00am |
Break |
|
10:00am-11:30am |
High dimensional regression, regularization, application to cancer genomics |
|
11:30am-1:00pm |
Lunch (on your own) |
|
1:00pm-2:00pm |
Google flu trends, application of high dimensional regression to flu prediction. |
|
2:00pm-3:30pm |
Ensemble learning, boosting and random forests, R programs |
|
3:30pm-3:45pm |
Break |
|
3:45pm-5:00pm |
Application of random forests to prediction of ALS progression. |
Big Data Day 2 (July 27)
Location: BRB Gaulton Auditorium, Biomedical Research Building
|
7:00am-8:00am |
Registration; Coffee, light breakfast |
|
8:00am-8:15am |
Welcome and overview |
|
8:15am-9:45am |
Statistical methods for electronic medical records (EMRs) data. |
|
9:45am-10:00am |
Break |
|
10:00am-11:30am |
Methods for analysis of wearable devices and mHealth data. |
|
11:30am-1:00pm |
Lunch (on your own) |
|
1:00pm-2:00pm |
Precision medicine and subgroup identification. |
|
2:00pm-3:30pm |
Multivariate and network meta-analysis, biomedical |
|
3:30pm-3:45pm |
Break |
|
3:45pm-5:00pm |
Causal inference in high dimensional setting, estimation |