About this Course
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Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 25 hours to complete

Suggested: 5 weeks of study, 3-5 hours per week...
Available languages

English

Subtitles: English

Skills you will gain

Instrumental VariablePropensity Score MatchingCausal InferenceCausality
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 25 hours to complete

Suggested: 5 weeks of study, 3-5 hours per week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
3 hours to complete

Welcome and Introduction to Causal Effects

This module focuses on defining causal effects using potential outcomes. A key distinction is made between setting/manipulating values and conditioning on variables. Key causal identifying assumptions are also introduced....
Reading
8 videos (Total 128 min), 3 quizzes
Video8 videos
Confusion over causality19m
Potential outcomes and counterfactuals13m
Hypothetical interventions17m
Causal effects19m
Causal assumptions18m
Stratification23m
Incident user and active comparator designs14m
Quiz3 practice exercises
Practice Quiz4m
Practice Quiz4m
Causal effects18m
Week
2
Hours to complete
2 hours to complete

Confounding and Directed Acyclic Graphs (DAGs)

This module introduces directed acyclic graphs. By understanding various rules about these graphs, learners can identify whether a set of variables is sufficient to control for confounding....
Reading
8 videos (Total 86 min), 2 quizzes
Video8 videos
Causal graphs9m
Relationship between DAGs and probability distributions15m
Paths and associations7m
Conditional independence (d-separation)13m
Confounding revisited9m
Backdoor path criterion15m
Disjunctive cause criterion9m
Quiz2 practice exercises
Practice Quiz8m
Identify from DAGs sufficient sets of confounders22m
Week
3
Hours to complete
4 hours to complete

Matching and Propensity Scores

An overview of matching methods for estimating causal effects is presented, including matching directly on confounders and matching on the propensity score. The ideas are illustrated with data analysis examples in R....
Reading
12 videos (Total 171 min), 5 quizzes
Video12 videos
Overview of matching12m
Matching directly on confounders13m
Greedy (nearest-neighbor) matching17m
Optimal matching10m
Assessing balance11m
Analyzing data after matching20m
Sensitivity analysis10m
Data example in R16m
Propensity scores11m
Propensity score matching14m
Propensity score matching in R15m
Quiz5 practice exercises
Practice Quiz6m
Practice Quiz8m
Matching12m
Propensity score matching10m
Data analysis project - analyze data in R using propensity score matching16m
Week
4
Hours to complete
3 hours to complete

Inverse Probability of Treatment Weighting (IPTW)

Inverse probability of treatment weighting, as a method to estimate causal effects, is introduced. The ideas are illustrated with an IPTW data analysis in R....
Reading
9 videos (Total 119 min), 3 quizzes
Video9 videos
More intuition for IPTW estimation9m
Marginal structural models11m
IPTW estimation11m
Assessing balance9m
Distribution of weights9m
Remedies for large weights13m
Doubly robust estimators15m
Data example in R26m
Quiz3 practice exercises
Practice Quiz6m
IPTW18m
Data analysis project - carry out an IPTW causal analysis8m

Instructor

Avatar

Jason A. Roy, Ph.D.

Professor of Biostatistics
Department of Biostatistics and Epidemiology

About University of Pennsylvania

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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