课程信息
4.8
100 个评分
34 个审阅
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为25 小时

建议:5 weeks of study, 3-5 hours per week...
可选语言

英语(English)

字幕:英语(English)

您将获得的技能

Instrumental VariablePropensity Score MatchingCausal InferenceCausality
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为25 小时

建议:5 weeks of study, 3-5 hours per week...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 3 小时

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 个视频 (总计 128 分钟), 3 个测验
Video8 个视频
Confusion over causality19分钟
Potential outcomes and counterfactuals13分钟
Hypothetical interventions17分钟
Causal effects19分钟
Causal assumptions18分钟
Stratification23分钟
Incident user and active comparator designs14分钟
Quiz3 个练习
Practice Quiz4分钟
Practice Quiz4分钟
Causal effects18分钟
2
完成时间(小时)
完成时间为 2 小时

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 个视频 (总计 86 分钟), 2 个测验
Video8 个视频
Causal graphs9分钟
Relationship between DAGs and probability distributions15分钟
Paths and associations7分钟
Conditional independence (d-separation)13分钟
Confounding revisited9分钟
Backdoor path criterion15分钟
Disjunctive cause criterion9分钟
Quiz2 个练习
Practice Quiz8分钟
Identify from DAGs sufficient sets of confounders22分钟
3
完成时间(小时)
完成时间为 4 小时

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 个视频 (总计 171 分钟), 5 个测验
Video12 个视频
Overview of matching12分钟
Matching directly on confounders13分钟
Greedy (nearest-neighbor) matching17分钟
Optimal matching10分钟
Assessing balance11分钟
Analyzing data after matching20分钟
Sensitivity analysis10分钟
Data example in R16分钟
Propensity scores11分钟
Propensity score matching14分钟
Propensity score matching in R15分钟
Quiz5 个练习
Practice Quiz6分钟
Practice Quiz8分钟
Matching12分钟
Propensity score matching10分钟
Data analysis project - analyze data in R using propensity score matching16分钟
4
完成时间(小时)
完成时间为 3 小时

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 个视频 (总计 119 分钟), 3 个测验
Video9 个视频
More intuition for IPTW estimation9分钟
Marginal structural models11分钟
IPTW estimation11分钟
Assessing balance9分钟
Distribution of weights9分钟
Remedies for large weights13分钟
Doubly robust estimators15分钟
Data example in R26分钟
Quiz3 个练习
Practice Quiz6分钟
IPTW18分钟
Data analysis project - carry out an IPTW causal analysis8分钟

讲师

Avatar

Jason A. Roy, Ph.D.

Professor of Biostatistics
Department of Biostatistics and Epidemiology

关于 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. ...

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