140.651.01
Methods in Biostatistics I

Location
East Baltimore
Term
1st Term
Department
Biostatistics
Credit(s)
4
Academic Year
2018 - 2019
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
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Ciprian Crainiceanu
Contact Name
Ciprian Crainiceanu
Frequency Schedule
Every Year
Prerequisite

Working knowledge of calculus and linear algebra

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 interval for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations. Also introduces R and concepts are presented both from a theoretical, practical and computational perspective.
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. List the distinctions between the fundamental paradigms underlying statistical methodology
  4. Identify the basics of maximum likelihood
  5. Identify 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 one lab time: Tuesday OR Wednesday. The recommended book for the course is Methods in Biostatistics with R (https://leanpub.com/biostatmethods/). A free copy will be sent to all students enrolled in the course.