140.652.71
Methods in Biostatistics II
Cancelled
 Location:
 Internet
 Term:
 2nd term
 Department:
 Biostatistics
 Credits:
 4 credits
 Academic Year:
 2022  2023
 Instruction Method:
 Asynchronous Online
 Auditors Allowed:
 Yes, with instructor consent
 Undergrads Allowed:
 Yes
 Grading Restriction:
 Letter Grade or Pass/Fail
 Course Instructor:
 Contact:
 Ciprian Crainiceanu
 Frequency Schedule:
 One Year Only
 Resources:
 Prerequisite:
 Description:

Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Includes 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
 Describe the distinctions between the fundamental paradigms underlying statistical methodology
 List the basics of maximum likelihood
 List 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 Paper
 40% Final Exam
 Instructor Consent:
No consent required
 Special Comments:
Students will choose only one of the two lab times.