140.651.01
Methods in Biostatistics I
 Location:
 East Baltimore
 Term:
 1st term
 Department:
 Biostatistics
 Credits:
 4 credits
 Academic Year:
 2017  2018
 Instruction Method:
 TBD
 Class Times:

 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
 Grading Restriction:
 Letter Grade or Pass/Fail
 Course Instructor:
 Contact:
 Ciprian Crainiceanu
 Resources:
 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 for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary nonparametric methods; graphical displays; and data transformations.
 Learning Objectives:

Upon successfully completing this course, students will be able to:
 Discuss core applied statistical concepts and methods
 Discuss the display and communication of statistical data
 List the distinctions between the fundamental paradigms underlying statistical methodology
 Identify the basics of maximum likelihood
 Identify the basics of frequentist methods: hypothesis testing, confidence intervals
 Identify basic Bayesian techniques, interpretation and prior specification
 Discuss the creation and interpretation of P values
 Describe estimation, testing and interpretation for single group summaries such as means, medians, variances, correlations and rates
 Describe estimation, testing and interpretation for two group comparisons such as odds ratios, relative risks and risk differences
 Describe the basic concepts of ANOVA
 Methods of Assessment:
Student evaluation based on several problem sets and one exam each term.
 Instructor Consent:
No consent required
 Special Comments:
Students will choose one lab time: Tuesday OR Wednesday.