140.651.01
Methods in Biostatistics I
 Location:
 East Baltimore
 Term:
 1st term
 Department:
 Biostatistics
 Credits:
 4 credits
 Academic Year:
 2022  2023
 Instruction Method:
 Inperson
 Class Times:

 Tu Th, 10:30  11:50am
 Lab Times:


Tuesday, 1:30  2:20pm (01)

Wednesday, 3:30  4:20pm (02)

 Auditors Allowed:
 Yes, with instructor consent
 Undergrads Allowed:
 Yes
 Grading Restriction:
 Letter Grade or Pass/Fail
 Course Instructor:
 Contact:
 Ravi Varadhan
 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. Includes topics 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 nonparametric methods; graphical displays; and data transformations. 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:
 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:
This course is evaluated as follows:
 20% Homework
 40% Midterm
 40% Final Exam
 Instructor Consent:
No consent required
 Special Comments:
Please note: This is the onsite section of a course that is also offered virtually. Students will need to commit to the modality for which they register. Students will choose one lab time: Tuesday OR Wednesday. A recommended book for the course is Methods in Biostatistics with R (https://leanpub.com/biostatmethods/).