Quantitative Bias Analysis Methods for Epidemiologic Research

CT Score

1500

#0 of 0 in SPH EP

Difficulty

—/10

Workload

—h/wk

Median grade

—

from grade distribution

Would take again

—

n = 0 verified

Grade distribution

No distribution published for this course.

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Professor ratings →

Sections

No section data for this term yet.

In the tree

SPH EP854 and SAS at the level of SPH BS805 - This course covers a novel approach to dealing with systematic error in epidemiologic research called quantitative bias analysis. Quantitative bias analysis allows users account for sources of systematic error analytically rather than through speculation on the impact. Quantitative bias analysis allows users to make adjustments to measures of effect for confounding, information bias and selection bias by making assumptions (informed by data typically using validation studies) about the nature of the bias to bias-adjusted point estimates and create uncertainty intervals that account for total study error. The course will cover three types of bias analysis: simple, multidimensional and probabilistic. Exercises in Excel and SAS/R will allow students to practice the methods, adapt them to problems they face and present the results clearly→SPH EP 861→unlocks 0 courses

No mapped courses require this one yet. See on the map →

Study groups

0 active

🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.