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
Descriptive statistics, probability, probability distributions, estimation, parametric hypothesis testing, nonparametric hypothesis testing
Learning outcome
After completing the course, the student:
- Can demonstrate factual knowledge of basic definitions used in statistics including definitions of measures of central tendency, standard deviation, binomially distributed variable, Poisson distributed variable, normally distributed variable, sampling distribution of the sample mean, sampling distribution of the proportion, point estimate, confidence interval estimate, null hypothesis, alternative hypothesis, test statistic, critical valueand p-value
- Is able to describe the results and theorems derived from covered concepts including the central limit theorem, expressions for confidence intervals, and distributions for test statistics
- Can identify and apply formulas given by definitions including calculation of measures of central tendency and standard deviations
- Is able to apply results and theorems to solve problems including computation of probabilities, computation of point estimates, computation of confidence intervals for means. proportions and rates, and performing hypothesis tests
- Has acquired a level of proficiency in the fundamental concepts and applications sufficient for further study in academic fields requiring statistics as a prerequisite, or for work in fields requiring a background in statistics
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
Specific conditions
Compulsory activities from previous semester may be approved by the department.
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 2022
Language of instruction: English
Location: Trondheim
- Medicine
- Statistics
Department with academic responsibility
Department of Clinical and Molecular Medicine
Examination
Examination arrangement: School exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 100/100 A 2022-12-14 09:00 PAPIR
-
Room Building Number of candidates SL120 blå sone Sluppenvegen 14 2 SL228 Sluppenvegen 14 1 SL111 lyseblå sone Sluppenvegen 14 46 - Spring ORD School exam 100/100 A 2023-05-22 09:00 PAPIR
-
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"