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EPIDEM M403Computer Management and Analysis of Health Data Using SAS

Epidemiology · 4 units · Graduate professional courses (400-499)

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(Same as Biostatistics M403B.) Introduction to practical issues in management and analysis of health data using SAS programming language. Cross-sectional and longitudinal population-based data sets to be used throughout to illustrate principles of data management and analysis for addressing biomedical and health-related hypotheses.

Letter grading.

When it runs

Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.

Requisites

UCLA lists no requisites for this course.

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About EPIDEM M403. We read UCLA’s requisite wording by machine, and it gets things wrong.

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Requires

Everything that has to come before this course, not just the courses named in the requisite above.

Nothing — this is an entry point.

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

EPIDEM M403

  • EPIDEM 205Methods for Analyzing Non-Randomized and Quasi-Experimental Studies
  • EPIDEM 206Systems Science Modeling and Simulation in Epidemiology
  • EPIDEM 245Lifestyle Intervention: Study Design and Data Analysis
  • EPIDEM 401Applied Epidemiologic Analysis
    • EPIDEM 205Methods for Analyzing Non-Randomized and Quasi-Experimental Studiesanother path to it
    • EPIDEM 206Systems Science Modeling and Simulation in Epidemiologyanother path to it
    • EPIDEM 207Reproducibility in Epidemiologic Research
    • EPIDEM 245Lifestyle Intervention: Study Design and Data Analysisanother path to it
  • EPIDEM 404Advanced SAS Techniques for Management and Analysis of Epidemiologic Data

5 courses list this as a requisite. The whole downstream is here — 9 courses over 2 levels. Every course here opens its own tree.