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BST 560 Intermediate Biostatistics I 3.0 Credits

This course is an overview of statistical models and analysis tools commonly used in epidemiological and public health studies. Topics include simple and multiple linear regression, diagnostics, model-building and remedial measures for regression models, analysis of variance, logistic and conditional logistic regression, and models for multi-category outcome data. Statistical software SAS will be an integral part of the course. Familiarity with SAS (or other statistical software) is expected.

College/Department: Dornsife School of Public Health
Repeat Status: Not repeatable for credit
Prerequisites: BST 571 [Min Grade: B] and BST 555 [Min Grade: B]

Graduate Minor in Biostatistics

Biostatistics is a growing  discipline  with numerous employment opportunities for those trained in the field.  This graduate minor provides a foundation in biostatistics for students with majors in other fields, allowing the student to broaden their skillset, expanding employment opportunities upon graduation.

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