Chevron Left
Volver a Causal Inference 2

Opiniones y comentarios de aprendices correspondientes a Causal Inference 2 por parte de Universidad de Columbia

3.2
estrellas
10 calificaciones
5 reseña

Acerca del Curso

This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships. We will study advanced topics in causal inference, including mediation, principal stratification, longitudinal causal inference, regression discontinuity, interference, and fixed effects models....
Filtrar por:

1 - 5 de 5 revisiones para Causal Inference 2

por Huyen

May 02, 2020

This course is painful. Lots of dry maths with no relatable examples. Difficult to follow.

por Weijia C

Aug 16, 2020

Too few and easy assessment questions that does not help understand the course much

por Ang K J

Aug 24, 2020

Reading off the slides, no real explanation of concepts or notes provided.

por Samuel D

Apr 05, 2020

No engaging. Unable to complete the tasks

por Vikram M

Oct 21, 2019

Terrible