Data Recovery

It appears you may have used Coursicle on this device and then cleared your cookies. You can recover your data by answering these questions.

User ID:

Your account no longer exists

Your user ID no longer exists. Please refresh the page. If the issue persists, please contact us at support@coursicle.com.

Dismiss

BIOSTAT 904 - Causal Inference

Description
Comprehensive introduction to methods for causal inference. Principles necessary to define causation. Strategies such as directed acyclic graphs to identify potential sources of bias, when using observational data to address causal questions. Alternative approaches for the estimation of causal parameters and applications to practical applications. Methods for causal inference regarding treatments initiated during observational, longitudinal follow-up. Mathematical results fundamental to classic statistical methods. Development of simulations to implement and test methods. Prerequisite: Statistical Science 711, Statistical Science 721, Statistical Science 732 or consent of instructor. Instructor: Thomas
Attributes
Graduate/professional students only
Recent Professors
Open Seat Checker
Schedule Planner
Recent Semesters
Fall 2017
Offered
TuTh
Avg. Class Size
10
Avg. Sections
1