BIO512 Biostatistics

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Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
BIO512 Biostatistics 3 0 6
Prerequisite It is a prerequisite to
Lecturer Emin Tahirović Office Hours / Room / Phone
Monday:
13:00-14:00
Wednesday:
9:00-11:00
Friday:
10:00-12:00
A F3.18
E-mail etahirovic@ius.edu.ba
Assistant Assistant E-mail
Course Objectives After completing this course, you will (1) have a deeper appreciation for how to interpret and look at data; (2) understand how statistics and probability apply to real-world problems; and (3) be able to critically evaluate the statistics in medical studies.
Textbook There is no textbook as such. Instead we will use slides and weekly reading assignments (papers from medical journals, newspapers etc.). One form of reference will be "what is the P-value anyway? - 34 stories to help you actually understand statistics Andrew Vickers", Addison Wesley 1st Ed. 2010.
Learning Outcomes After successful  completion of the course, the student will be able to:
    Teaching Methods Course slides involving discussions with examples. Lectures are divided in teaching theoretical concepts and applying these in practice using R and real world data sets. Discussion about weekly reading assignment involving statistical parts of scientific literature from the particular area of students specific application area.
    WEEK TOPIC REFERENCE
    Week 1 Course introduction; Introduction to statistics; Course slides
    Week 2 Data presentation and visualization techniques; Population and Sample; Course slides
    Week 3 Measures of central tendency of the data; Shape of the distribution; Variability in the data; Course slides
    Week 4 Measures of variability (range, IQR, variance, SD); Normal distribution; Course slides
    Week 5 Standard normal distribution and Z-scores; Reading standard normal table and using statistical software for the same purpose; Course slides
    Week 6 Sampling distribution; Sampling distribution of the sample mean; Course slides
    Week 7 Standard error of the mean; Central Limit Theorem; Course slides
    Week 8 Interval estimation around the mean; Review of study designs; (Quiz 1) Course slides
    Week 9 Measures of disease risk and association; Course slides
    Week 10 Statistical inference (confidence intervals and hypothesis testing); Course slides
    Week 11 Statistical hypothesis testing; mean, proportion (one-, two sample, variance known, variance unknown). Course slides
    Week 12 P-value pitfalls; types I and type II error; statistical power; overview of statistical tests Course slides
    Week 13 P-value pitfalls; types I and type II error; statistical power; overview of statistical tests. Course slides
    Week 14 Regression analysis; linear correlation and regression. (Quiz 2) Course slides
    Week 15 Discussion of student specific data project (Final data analysis report) Course slides
    Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs
    Final Project report 1 40 LO 1, 2, 5
    Semester Evaluation Compenents
    Quizz 2 60 LO 3,4
    ***     ECTS Credit Calculation     ***
     Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
    Lecture hours 3 15 45 In-term exam study 20 2 40
    Home study 3 15 45 Final report study 20 1 20
            Total Workload Hours = 150
    *T= Teaching, P= Practice ECTS Credit = 6
    Course Academic Quality Assurance: Semester Student Survey Last Update Date: 31/03/2020
    QR Code for https://ecampus.ius.edu.ba/syllabus/bio512-biostatistics

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