Courses Taught by Alexander Tsodikov

BIOSTAT523: Statistical Methods in Epidemiology

  • Graduate level
  • Residential
  • Fall term(s) for residential students;
  • 4 credit hour(s) for residential students;
  • Instructor(s): Alexander Tsodikov (Residential);
  • Prerequisites: EPID501 or EPID601 or EPID600; AND BIOSTAT522
  • Description: Statistical methods commonly used in environmental epidemiology. Emphasis on choosing appropriate statistical methods and subsequent interpretation. Topics include probability, measures of association and risk, sample size calculations, SMR and PMR analysis, logistic regression and survival analysis.
  • Syllabus for BIOSTAT523
TsodikovAlexander
Alexander Tsodikov

BIOSTAT801: Advanced Inference I

  • Graduate level
  • Residential
  • Fall term(s) for residential students;
  • 3 credit hour(s) for residential students;
  • Instructor(s): Alexander Tsodikov (Residential);
  • Prerequisites: Biostat 601, Biostat 602, and MATH 451 or equivalent
  • Description: This is the first course of the sequence that covers advanced topics in probability theory, theory of point estimation, theory of hypothesis testing, and related large sample theory.
  • Syllabus for BIOSTAT801
TsodikovAlexander
Alexander Tsodikov
Concentration Competencies that BIOSTAT801 Allows Assessment On
Department Program Degree Competency Specific course(s) that allow assessment
BIOSTAT PhD Apply the advanced probability theory and distribution theory BIOSTAT801