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
Maria Masotti
Matt Zawistowski
Concentration Competencies that BIOSTAT595 Allows Assessment On
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

BIOSTAT800: Seminar in Biostatistics

  • Graduate level
  • Residential
  • Fall, Winter term(s) for residential students;
  • 0.5 credit hour(s) for residential students;
  • Instructor(s): Maria Masotti, Fan Bu, Michele Peruzzi, (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.
Maria Masotti
Fan Bu
Michele Peruzzi