Casual Inference
Обща продължителност:
35 h 33 min
Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8
Casual Inference
52:54
Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7
Casual Inference
52:04
The Art of Clarity with Andrew Heiss | Season 6 Episode 6
Casual Inference
49:30
Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5
Casual Inference
55:21
From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4
Casual Inference
45:19
Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3
Casual Inference
82:08
Causal Assumptions and Large Language Models | Season 6 Episode 2
Casual Inference
51:50
Data Integration for Impact with Len Testa | Season 6 Episode 1
Casual Inference
44:47
Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11
Casual Inference
48:11
Flexible methods with Edward Kennedy | Season 5 Episode 10
Casual Inference
38:56
What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford | Season 5 Episode 9
Casual Inference
49:42
Observational Causal Analyses with Erick Scott | Season 5 Episode 8
Casual Inference
51:42
Friends Let Friends Do Mediation Analysis with Nima Hejazi | Season 5 Episode 7
Casual Inference
59:06
Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6
Casual Inference
48:22
Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5
Casual Inference
46:48
Analyzing the Analysts: Reproducibility with Nick Huntington-Klein | Season 5 Episode 4
Casual Inference
45:43
Immortal Time Bias | Season 5 Episode 3
Casual Inference
34:36
Targeted Learning with Mar van der Laan | Season 5 Episode 2
Casual Inference
51:20
Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1
Casual Inference
17:54
Remembering Ralph B. D'Agostino, Sr.
Casual Inference
49:36
Evidence Science with Cat Hicks | Season 4 Episode 11
Casual Inference
49:40
M-Bias: Much Ado About Nothing? | Season 4 Episode 10
Casual Inference
38:54
Thinking about Targeted Learning | Season 4 Episode 9
Casual Inference
46:01
Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8
Casual Inference
38:11
Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7
Casual Inference
38:45
Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6
Casual Inference
67:24
The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5
Casual Inference
60:25
Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4
Casual Inference
51:42
Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3
Casual Inference
54:19
Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2
Casual Inference
57:48
Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1
Casual Inference
54:50
What is the value of a p-value with Charlie Poole and Chuck Scales | Season 3 Episode 13
Casual Inference
76:10
It Depends with Sander Greenland | Season 3 Episode 12
Casual Inference
87:54
The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11
Casual Inference
64:34
The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10
Casual Inference
53:51
Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9
Casual Inference
55:03
The history of John Snow, Cholera, and Cookies with Chris Schaich | Season 3 Episode 8
Casual Inference
48:44
Asking questions that matter, getting answers that help | Season 3 Episode 7
Casual Inference
71:46
A Casual Look at Causal Inference History | Season 3 Episode 6
Casual Inference
72:05
Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5
Casual Inference
69:41
