# METHODS IN BIOSTATISTICS II Syllabus

140.652.01 | AY 2012-2013 - 2nd Term | 4 Credit(s)
TTh 10:30:00 AM
• Contact Information
• Course 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
• Course 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.

• Intended Audience

Biostatistics master's students and quantitatively-oriented students from other depts

• Methods of Assessment

Grading Policy: Student evaluation based on several problem sets and one exam each term.

• Prerequisites

140.651