Graduate School of health and Medical Sciences

Statistics for experimental medical researchers
Provider: Faculty of Health and Medical Sciences

Activity no.: 3325-22-00-00
	Enrollment deadline: 05/09/2022

Date and time	03.10.2022, at: 10:00 - 20.10.2022, at: 17:00
Regular seats	45
Course fee	2,880.00 kr.
Lecturers	Erin Gabriel
ECTS credits	4.00

Contact person	Susanne Kragskov Laupstad E-mail address: skl@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

Aim and content This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrolment deadline, available seats will be allocated to the waiting list. The course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at NorDoc member universities. All other participants must pay the course fee. Aim This six-day intensive course aims at Ph.D. students in biomedical research who work in a laboratory or similar setting, performing experiments on e.g. cells, tissues, mice, or human volunteers. When participating in this course, you will get a working knowledge of statistical concepts, methods of analysis, and adequate ways of presenting statistical results, as well as hands on experience in analysing experimental data with R statistical software. We will also explain some of the most common errors biomedical researchers make in their statistical analyses. In summary, we aim at teaching you high-quality statistics suitable for research publications. Learning objectives A student who has met the objectives of the course will be able to: 1. Have a qualified discussion with a statistical consultant, e.g. on how to plan the analyses for a research project or how to answer the concerns raised by a reviewer. 2. Interpret basic statistical information from research papers, e.g. descriptive statistics, effect estimates, confidence intervals and p-values. 3. Apply the most frequently used statistical analyses to real life experimental data using the statistical software R (see contents section for the specific analyses taught in this course). 4. Present statistical results in suitable figures, tables, and words. 5. Critically assess the validity of the most frequently used statistical analyses by being aware of their modelling assumptions and limitations. Content Day 1: The Scientific method, summary statistics and figures, distributions, and random variables Day 2: One sample inference for the mean, Central limit theory, p-values, confidence intervals, type I and II error, and power Day 5: Comparing more than two groups/conditions for continuous outcomes, paired data, and simple linear regression Day 3: Comparing two or more frequencies: Risk difference, risk ratio, and odds ratios. The chi-square test and Fisher’s exact test and paired data Day 4: Multivariable linear regression Day 6: Generalized linear regression and introduction to causal inference Statistical software We will be working with the open source statistical software R using the interface R Studio. To participate in the course you must bring your own laptop with R and R Studio installed. Prerequisites Familiarity with R programming is necessary for taking part in the exercise classes and for completing the homework problems. If you are not familiar with R programming, we recommend that you complete the free access e-learning course at http://r.sund.ku.dk/ before starting on this course. Considering statistical theory, almost all of the students who participate in this course have completed a statistics course during previous education. For repetition and for emphasizing research applications, we start from scratch. However, you should be warned that we cover many topics in few days and at high pace. Participants Ph.D.-students. In case of vacant seats also other medical researchers. Max. 45 participants. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: All graduate programmes Language English Form Forum lectures and interactive learning for 3 hours in the morning and computer exercises for 3 hours in the afternoon on course days 1-3 and 6, Forum lectures and interactive learning for 3 hours in the morning on course days 4-5. Course director Associate professor Erin Gabriel, Section of Biostatistics Teachers Associate professor Erin Gabriel Associate professor Paul Blanche, Section of Biostatistics Dates Mondays and Thursdays: 3, 6, 10, 20 October, all days 10-17, 13 and 17 October 2022, both days 8-12. Course location CSS Registration Please register before 5 September 2022 Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment. Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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