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140.651.71
Methods in Biostatistics I

Cancelled

Location:
Internet
Term:
1st term
Department:
Biostatistics
Credits:
4 credits
Academic Year:
2022 - 2023
Instruction Method:
Synchronous Online
Class Times:
  • Tu Th,  10:30 - 11:50am
Lab Times:
  • Tuesday,  1:30 - 2:20pm (01)
  • Wednesday,  9:30 - 10:20am (02)
Auditors Allowed:
No
Undergrads Allowed:
Yes
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Contact:
Ciprian Crainiceanu
Frequency Schedule:
One Year Only
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 non-parametric 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:

  1. Discuss core applied statistical concepts and methods
  2. Discuss the display and communication of statistical data
  3. List the distinctions between the fundamental paradigms underlying statistical methodology
  4. Identify the basics of maximum likelihood
  5. Identify the basics of frequentist methods: hypothesis testing, confidence intervals
  6. Identify basic Bayesian techniques, interpretation and prior specification
  7. Discuss the creation and interpretation of P values
  8. Describe estimation, testing and interpretation for single group summaries such as means, medians, variances, correlations and rates
  9. Describe estimation, testing and interpretation for two group comparisons such as odds ratios, relative risks and risk differences
  10. Describe the basic concepts of ANOVA
Methods of Assessment:

This course is evaluated as follows:

  • 20% Homework
  • 40% Midterm
  • 40% Final Exam

Instructor Consent:

Consent required for all students

Consent Note:

Consent required for all students

For consent, contact:

ccraini1@jhu.edu

Special Comments:

Please note: This is the virtual section of a course that is also offered onsite. Students will need to commit to the modality for which they register. Students will choose one lab time: Tuesday OR Wednesday. The recommended book for the course is Methods in Biostatistics with R (https://leanpub.com/biostatmethods/). A free copy will be sent to all students enrolled in the course.