Course - Introduction to Medical Statistics - KLMED8004
KLMED8004 - Introduction to Medical Statistics
About
Examination arrangement
Examination arrangement: School exam
Grade: Passed / Not Passed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| School exam | 100/100 | 4 hours | A |
Course content
Population and sample, descriptive statistics, probability, discrete random variables, probability mass functions, continuous random variables, probability densities, estimation, parametric hypothesis testing, non-parametric hypothesis testing
Learning outcome
Knowledge:
After successful completion of this course the student should understand the concepts of
- population and sample.
- descriptive statistics, probability and probability distributions.
- point estimation and confidence interval estimation.
- hypothesis testing, null and alternative hypotheses, critical values, p-values, type I and type II errors.
- parametric and non-parametric tests.
Skills:
After successful completion of this course the student should be able to
- compute and interpret measures of central tendency (mean, median, mode).
- calculate and understand measures of dispersion (variance, standard deviation, range).
- solve problems involving basic probability concepts and rules.
- use probability distributions to compute probabilities for ranges of outcomes.
- construct and interpret confidence intervals for proportions, rates and means.
- conduct hypothesis tests for proportions, rates and means.
- conduct non-parametric tests of hypotheses.
- interpret p-values and make decisions based on them.
- construct and interpret confidence intervals involving two populations.
- conduct hypothesis tests for the comparison of two populations.
General competence:
After successful completion of this course the student should have
- familiarity with the use of statistical software to perform analyses and generate results.
- understanding of the limitations and assumptions of statistical methods.
Learning methods and activities
Lectures and exercises. Approved exercises from the same or previous year are required to sit for the exam.
Compulsory assignments
- Approved exercises
Recommended previous knowledge
High School Degree in Mathematics.
Required previous knowledge
Master's degree or similar. The course is also open for medical and master's students at the Faculty of Medicine and Health Sciences. Candidates with a lower degree will be assessed individually.
Course materials
Rosner, B: "Fundamentals of Biostatistics", 8th ed. 2015
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: English
Location: Trondheim
- Medicine
- Statistics
Department with academic responsibility
Department of Public Health and Nursing
Examination
Examination arrangement: School exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 100/100 A 2024-11-25 15:00 INSPERA
-
Room Building Number of candidates SL111 orange sone Sluppenvegen 14 4 SL210 Sluppenvegen 14 27 - Spring ORD School exam 100/100 A INSPERA
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"