Applied Probability
Accuracy of Practitioner Estimates of Probability of Diagnosis Before and After Testing
DSA ADS Course - 2021
Applied Probability, Probability Theory, Medical Diagnosis, Medical Testing, Probability of Diagnosis
Probability theory and accuracy in medical diagnosis. Estimating probability of diagnosis is critical job of front line physicians and many overestimate probabilities ordering unwarranted tests and overtreatment.
Textbook example of failure of many physicians to accurately compute probability - JAMA study in 2021
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information
DSA ADS Course - 2021
Discuss causality, probability of causation, joint probabilities of potential outcomes and applied probability.
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information - May, 2021
Abstract
Foundations of the Theory of Probability
DSA ADS Course - 2021
Foundations of the Theory of Probability - Kolmogorov
Data Science, Applied Probability, Probability Theory
On Pearl’s Hierarchy and the Foundations of Causal Inference
DSA ADS Course, 2021
Discuss causal reasoning, causal inference, Pearl Causal Hierarchy, Structural Causal Model, Causal Hierarchy Theorem, and applied probabiity.
On Pearl’s Hierarchy and the Foundations of Causal Inference - March, 2021
Abstract
Probabilistic Causation
2013
External Course
The starting point of theories of probabilistic causation is that causes raise the probabilities of their effects; however the road to a satisfactory account of the relationship between causes and probabilisties has proven to be long and fraught with dificulties. This work offers a survey of the main problems and solutions emerged in about thirty years of research, and points to some metaphysical problems that are still object of philosophical debate.
Probabilities of Causation: Bounds and Identification
November, 2000
Abstract
Multivariate Counterfactual Systems And Causal Graphical Models
August, 2020
Abstract