INFO-B 518

Applied Statistical Methods for Biomedical Informatics

  • Course Code: INFO-B 518
  • Course Name: Applied Statistical Methods for Biomedical Informatics
  • Instructor: Xiyuan (Sheila) Gao
  • Credit Hours: 3
  • Start Date: Aug 21, 2023
  • End Date: Dec 17, 2023
  • Timeframe: 6:00 pm - 8:40 pm
  • Location: ICTC (IT) 073
  • URL: https://luddy.iupui.edu/courses/info-b518/

Description

The ability to understand, analyze, and interpret biomedical data is integral to biomedicine. This course provides in-demand data analysis skills and hands-on experience in analyzing genomic, proteomic, and health data. Students solve cutting-edge biomedical problems by applying statistical methods, packages, and toolkits.  

Learning Outcomes  

  1. Identify and interpret massive health data with missing values.  

  2. Infer and justify inferences from health data specific to diseases.  

  3. Correlate massive phenotypic and genotypic data.  

  4. Determine and model population, sampling, and hypothesis testing for specific diseases.  

  5. Design and formulate sampling and hypothesis testing for hospital and Insurance data to evaluate the complexities.  

  6. Select and generate regression analysis and other statistical analysis for precision medicine applications.  

  7. Outline and formulate paper presentation.  

  8. Construct and rearrange project design, writing, analysis, and presentation.  

  9. Develop and revise programs to perform data analytics on large, complex datasets in R.  

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GENERAL GUIDELINE TO THE SYLLABUS  

Students are responsible for familiarizing themselves with the syllabus. The instructor is responsible for being responsive to the diverse needs of the enrolled students and for making necessary modifications to this syllabus, which is to be treated as a living document.  

COURSE STRUCTURE  

The course will use an active learning approach, where students have to use online resources and open access lecture videos from the OpenIntro portal before coming to class. In-class time is devoted to discussions on the covered material, exercises, lab work and projects.  

TEXTBOOKS AND PAPERS  

It is suggested that students get their own copy of the textbooks. Papers, lectures slides, and additional reading materials will be posted on Canvas.  

Introductory Statistics for the Life and Biomedical Sciences Julie Vu and David Harrington 2020, 1st Edition OpenIntro https://www.openintro.org/book/biostat/  

SOFTWARE  

RStudio (an IDE for R programming language): [No Cost]  

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