140.652.01
Methods in Biostatistics II

Location
East Baltimore
Term
2nd Term
Department
Biostatistics
Credit(s)
4
Academic Year
2017 - 2018
Instruction Method
TBD
Class Time(s)
Tu, Th, 10:30 - 11:50am
Lab Times
Tuesday, 1:30 - 2:20pm (01)
Wednesday, 2:30 - 3:20pm (02)
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Ciprian Crainiceanu
Contact Name
Ciprian Crainiceanu
Frequency Schedule
Every Year
Prerequisite

140.651

Description
Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Discuss core applied statistical concepts and methods
  2. Discuss the display and communication of statistical data
  3. Describe the distinctions between the fundamental paradigms underlying statistical methodology
  4. List the basics of maximum likelihood
  5. List the basics of frequentist methods: hypothesis testing, confidence intervals
  6. Identify basic Bayesian techniques, interpretation and prior specification
  7. Discuss the creation and interpretation of P values
  8. Describe estimation, testing and interpretation for single group summaries such as means, medians, variances, correlations and rates
  9. Describe estimation, testing and interpretation for two group comparisons such as odds ratios, relative risks and risk differences
  10. Describe the basic concepts of ANOVA
Instructor Consent
No consent required
Special Comments

Students will choose only one of the two lab times.