Courses Taught by Maria Masotti
BIOSTAT595: Applied Longitudinal Analysis Using R
- Graduate level
- Online MPH only
- This is a first year course for Online students
- Fall term(s) for online MPH students;
- 2 credit hour(s) for online MPH students;
- Instructor(s): Matt Zawistowski (Online MPH);
- Prerequisites: Biostat 501, Biostat 591, Biostat 592
- Description: This course provides an overview of statistical methods for analyzing correlated data produced by longitudinal measurements taken over time. Topics include study design, exploratory data analysis techniques and linear mixed effects regression models. This course provides practical concepts and hands-on R computing skills to perform longitudinal data analysis.
- Learning Objectives: 1. Identify causes and patterns of correlated outcomes in health data 2. Perform exploratory data analysis of longitudinal outcomes 3. Fit linear mixed effects regression models 4. Interpret and perform hypothesis testing of regression parameters for mixed models
| Department | Program | Degree | Competency | Specific course(s) that allow assessment | Population and Health Sciences | MPH | Compare population health indicators across subpopulations, time, and data sources | PUBHLTH515, BIOSTAT592, EPID590, EPID592, EPID643, BIOSTAT595, BIOSTAT501 |
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BIOSTAT653: Theory and Application of Longitudinal Analysis.
- Graduate level
- Residential
- Fall term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Zhenke Wu, Maria Masotti, (Residential);
- Prerequisites: BIOSTAT650 and concurrent enrollment in BIOSTAT651
- Description: This course overviews the statistical models and methodologies for analyzing repeated measures/longitudinal data. It covers general linear models and linear mixed models for analyzing correlated continuous data, as well as marginal (i.e. GEE), conditional (i.e. generalized linear mixed model) and transition models for analyzing correlated discrete data.
- Syllabus for BIOSTAT653
| Department | Program | Degree | Competency | Specific course(s) that allow assessment | BIOSTAT | MS | Perform ANOVA analysis and longitudinal data analysis | BIOSTAT653 | BIOSTAT | PhD | Perform statistical analysis for longitudinal data and correlated data | BIOSTAT653 |
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BIOSTAT800: Seminar in Biostatistics
- Graduate level
- Residential
- Fall, Winter term(s) for residential students;
- 0.5 credit hour(s) for residential students;
- Instructor(s): John Rice, Maria Masotti, (Residential);
- Prerequisites: Graduate level Biostatistics students only
- Description: Presentations and discussions of current consulting and research problems. Enrollment limited to biostatistics majors. Students must attend 2/3 of all seminars offered during the semester to receive credit. Maximum credit is 0.5 per semester. No more than 1 credit total allowed. May only be taken a maximum of 2 semesters.
