Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for versions prior to Fall 2000.

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Course Descriptions: Search Results

HM 878  Applied Biostatistics for Public Health Practitioners

Semester:
Fall of even years
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
HM 802
Recommended Background:
Academic or professional background in public health and/or public health related discipline
Restrictions:
Open to students in the Public Health major or approval of college.
Description:
Application of multivariate logistic and linear regression models. Design and analysis of Public Health Intervention studies. Statistical sampling theory and survey design. Introduction to SAS (Statistical Analysis System).
Effective Dates:
FS12 - FS17


HM 878  Applied Biostatistics for Public Health Practitioners

Semester:
Fall of even years, Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
HM 802
Recommended Background:
Academic or professional background in public health and/or public health related discipline
Restrictions:
Open to students in the Public Health Major or in the Public Health Graduate Certificate.
Description:
Intermediate techniques and applications of multivariable logistic and linear regression in public health. Interpretation of statistical models.
Effective Dates:
SS18 - Open


PH 878  Applied Biostatistics for Public Health Practitioners (Interim Change)

Semester:
Fall of even years, Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
PH 802
Recommended Background:
Academic or professional background in public health and/or public health related discipline
Restrictions:
Open to students in the Public Health Major or in the Public Health Graduate Certificate.
Description:
Intermediate techniques and applications of multivariable logistic and linear regression in public health. Interpretation of statistical models.
Effective Dates:
SS24 - Open