140.652.71
Methods in Biostatistics II
Cancelled
 Location:
 Internet
 Term:
 2nd term
 Department:
 Biostatistics
 Credits:
 4 credits
 Academic Year:
 2022  2023
 Instruction Method:
 Synchronous 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:

Continues studying hypothesis testing and estimation concepts in the second part of the course. Includes the following topics: (1) power of tests, (2) Pvalue and its properties; (3) Binomial proportion; Wald test; Score test; exact test; (4) Twosample binomial; odds ratio (OR), relative risk (RR), risk difference (RD); (5) Hypergeometric distribution and Fisher’s exact test; (6) Confounding; stratification; MantelHaenszel estimator; (7) More on OR, RR, RD; Simpson’s paradox; collapsibility; unmeasured confounding; Evalue; (8) Casecontrol; Matched casecontrol; McNemar’s test; (9) Logistic regression; nondifferential and differential measurement error; (10) Goodness of fit tests and Chisquared test for contingency tables; (11) Nonparametric statistics; (12) ANOVA: oneway and twoway; (13) Multivariate distributions; conditional expectation; Linear regression
 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
 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
 Describe the basic ideas of nonparametric methods
 Describe the basic ideas behind linear regression
 Methods of Assessment:
This course is evaluated as follows:
 40% Homework
 20% Midterm
 10% Final Project
 30% Final Exam
 Instructor Consent:
No consent required
 Special Comments:
Students will choose only one of the two lab times.