EPI 5344 Survival Analysis in the Health Sciences

1.5 units
Epidemiology and Public Health
Faculty of Medicine
Exploration of methods for the analysis of data which includes information about the time when an event occurred. Non-regression methods of analyzing survival data, including actuarial life tables, the Kaplan-Meier method, the log-rank test, and person-time. The hazard curve and its links to incidence rate/density. Proportional hazards regression modelling (Cox modelling) including interpretation of model parameters, model building strategies and assessing the fit of the model. Methods to handle time varying covariates and non-proportional hazards will be discussed. Classes will include hands-on modeling examples using SAS statistical software.

Components:

Lecture

Requirements:

EPI 5344 is a corequisite to EPI 5340 .

Previously Offered Terms:

Winter
Summer
All Professors
A Average (9.307)
Most Common: A+ (51%)
101 students

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F

D

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B

A-

A+

Chris Gravel

2 sections from Winter 2023 to Winter 2024

A Average (9.260)
Most Common: A+ (56%)
50 students

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NS

F

D

C

B

A-

A+

Ranjeeta Mallick

Winter 2022 - B00

A+ Average (9.875)
Most Common: A+ (88%)
24 students

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NS

F

D

C

B

A-

A+

Nicholas Birkett

2 sections from Winter 2018 to Winter 2019

A Average (8.889)
Most Common: A (70%)
27 students

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NS

F

D

C

B

A-

A+