Courses Taught by Lu Wang

BIOSTAT650: Theory and Application of Linear Regression

  • Graduate level
  • Residential
  • Fall term(s) for residential students;
  • 4 credit hour(s) for residential students;
  • Instructor(s): Lu Wang, Mousumi Banerjee, (Residential);
  • Prerequisites: BIOSTAT601
  • Description: Graphical methods, simple and multiple linear regression; simple, partial and multiple correlation; estimation; hypothesis testing, model building and diagnosis; introduction to nonparametric regression; introduction to smoothing methods (e.g., lowess) The course will include applications to real data.
  • Syllabus for BIOSTAT650
WangLu
Lu Wang
BanerjeeMousumi
Mousumi Banerjee
Concentration Competencies that BIOSTAT650 Allows Assessment On
Department Program Degree Competency Specific course(s) that allow assessment
BIOSTAT MS Perform linear regression model fitting and diagnosis BIOSTAT650
BIOSTAT PhD Perform linear regression model fitting and diagnosis BIOSTAT650

EPID702: Analysis With Missing Data In Epidemiology

  • Graduate level
  • Residential
  • Summer term(s) for residential students;
  • 1 credit hour(s) for residential students;
  • Instructor(s): Lu Wang (Residential);
  • Prerequisites: None
  • Advisory Prerequisites: Required: introduction to statistical inferences, such as likelihood estimations, and regression models; Recommended: correlated and longitudinal data analysis
  • Undergraduates are allowed to enroll in this course.
  • Description: This course discusses both statistical theory and methodology aimed at addressing ongitudinal studies, drop-out, selection model, and pattern-mixture model. Overall, this course covers both applied and theoretical aspects related to statistical analysis with missing data.
  • Learning Objectives: Overall, this course covers both applied and theoretical aspects related to statistical analysis with missing data.
WangLu
Lu Wang