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Class links: Lectures & Assignments|
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Course prerequisite: ST521 and corequisite: ST740 Text: Spiegelhalter, D. J., Abrams, K. R. and Myles, J. P. (2004) Bayesian Approaches to Clinical Trials and Health-Care Evaluation. Wiley, New York (ISBN: 978-0-471-49975-6) Homework: Homework will normally be assigned (as indicated on the homework page) at the end of class on alternate Wednesdays. Submission of homeworks is optional, however it would be good practice to do the homeworks and obtain feedback from the instructor upon submitting them. Examinations: There will be no in-class examinations. Students are however required to submit two project works. Projects: Students are required to submit two projects: (i) Individual midterm project based on an assigned topic, (ii) A final project based on a topic selected by the student (group). A seminar style presentation is also required for the final project. For more information about the project click here Project schedule:
Asking questions: If you have questions
about lectures, homework assignments, exams, procedures or any other aspect of
the course please log onto http://courses.ncsu.edu/st790/, and click on "Message
Board". Then click on "Post New Topic", enter your question
in the Message box, and click on "Submit Message". You will receive a
response from me or another student. Everyone in the class will be able see your
question and the response.
Anonymous mail: If you wish to send me an anonymous suggestion or reminder, send email to click here. The system will remove mail headers, but you must remember to remove your signature and other identifying information. Grading System: Final grade will be based on: Final Semester Score = (4xMP + 6xFP)/10 where MP and FP are the scores (out of 100) on the midterm and the final projects, respectively. Grades will be assigned on the +/- scale. Auditing: Auditors are expected to attend class regularly and submit midterm project as the other students. The final grade for auditors (AU or NR) will be based on midterm project scores. A score of 75 or better is required for an AU. Policy on incomplete grades and late assignments: Unexcused late homework will not be accepted. HWs are to submitted by 5:00PM on the due date. If the midterm project is missed, no substitute project will be given. However, if there is a legitimate reason (as determined by the instructor) for missing the midterm exam, the final exam will count 75% and the remaining 10% will be lost from the final semester score. Final project can not be missed. Policy on academic integrity: The University policy on academic integrity can be found in Code of Student Conduct Policy (POL11.35.1). For a more though elaboration see the NCSU Office of Student Conduct website. For this course, group work on homework is encouraged. However copying someone else's work and calling them your own is plagiarism, so the work you turn in should be your own. Students are requested to sign the Honor Pledge while submitting the assignments. Students with disabilities: Reasonable accommodations will be made for students with verifiable disabilities. In order to take advantage of available accommodations, students must register with Disability Services for Students at 1900 Student Health Center, Campus Box 7509, 515-7653. For more information on NC State's policy on working with students with disabilities, please see the Academic Accommodations for Students with Disabilities Regulation (REG02.20.1) Class attendance policy: Reasonable efforts must be made to attend all lectures. However, if there is a legitimate reason (as determined by the instructor) for missing a lecture, the student must notify the instructor by a phone/e-mail. If you are ill with symptoms of H1N1 influenza (i.e. fever over 100, sore throat, cough, stuffy or runny nose, fatigue, headache, body aches, vomiting and diarrhea) please do not come to class. Instead, immediately contact your medical provider or Student Health Services (515-7107) for advice or to arrange an appointment. Reference material (Have requested these be on reserve at DH Hill Library): Berry, D. A. and Stangl, D. K. (1996). Bayesian Biostatistics, CRC Press, New York. Carlin, B. P. and Louis, T. A. (2008). Bayesian Methods for Data Analysis (Third Edition), CRC Press, New York. Marin, J. M. and Robert, C. P. (2007). Bayesian Core: A practical Approach to Computational Bayesian Statistics, Springer, New York. Moye, L. A. (2007). Elementary Bayesian Biostatistics, CRC Press, New York. Tsiatis, A. and Zhang, D. (2008). ST 520 Course Notes |
Course objectives:
This course is an experimental offering focused on Bayesian inferential methods with emphasis on biostatistics applications. The primary emphasis will be on gaining an intuitive grasp of how the models work and what is needed to implement them for biostatistics research. Instead of spending much time on formal proofs, the course will use informal simulation experiments, case studies, and applied exercises to examine the intuition and working properties of the Bayesian models. Unlike frequentist statistics, which attaches repeated-sampling frequencies to parameter estimators, Bayesian statistics directly describes uncertainty about unknown statistical parameters with a probability distribution. With this foundation, much of the Bayesian statistics follows from basic rules of probability theory and associated computational methods. In the past few years there have been a substantial change in attitudes of many biostatisticians and other applied statisticians toward implementation of the Bayesian paradigm. Recent developments of computational tools have brought Bayesian treatment of realistic, complex problems within the reach of practicing statisticians. Syllabus: This course will illustrate a variety of computational methods, simulation techniques, and hierarchical models suitable for analyzing clinical data which includes:
Last updated on: Jan 19, 2010 |