Centers of Excellence

CCI

Center for Causal Inference

Detailed (Tentative) Schedule

Detailed (Tentative) Schedule

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 
applications.

3:30pm-3:45pm

Break

3:45pm-5:00pm

Causal inference in high dimensional setting, estimation 
of joint intervention effects. 

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About CCI

The Center for Causal Inference (CCI) is a research center that is operating under a partnership between Penn’s Center for Clinical Epidemiology and Biostatistics (CCEB), the Department of Biostatistics and Epidemiology, Rutgers School of Public Health, and Penn’s Wharton School. The mission of the CCI is to be a leading center for research and training in the development and application of causal inference theory and methods.

Contact Us

6th Floor Blockley Hall 
423 Guardian Drive 
Philadelphia, PA 19104 

Email us with general inquiries