Login for PhD students at UCPH      Login for others
Basic Statistics for Health Researchers (Danish course) - R Beginner (Online)
Provider: Faculty of Health and Medical Sciences

Activity no.: 3304-22-00-04There are no available seats 
Enrollment deadline: 03/01/2022
Date and time24.01.2022, at: 10:00 - 07.04.2022, at: 15:00
Regular seats25
Course fee5,280.00 kr.
LecturersJulie Forman
Aksel Karl Georg Jensen
ECTS credits9.00
Contact personSusanne Kragskov Laupstad    E-mail address: skl@sund.ku.dk
Enrolment Handling/Course OrganiserPhD 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 graduate schools in the other Nordic countries. All other participants must pay the course fee.


Learning objectives

A student who has met the objectives of the course will be able to:

After finishing the course, the participants will

1. have a general feeling for the ideas in a statistical model and the type of conclusions that can be drawn from the subsequent statistical analysis

2. be able to understand and interpret the results of basic statistical procedures (t-test, associations in 2x2 tables, linear regression, multiple linear regression, logistic regression, survival analysis)

3. know the assumptions involved in the basic statistical procedures, and why these are not all equally important, depending on the aim of the analysis

4. be able to carry out these basic statistical procedures using one of the mainstream statistical software packages

5. have required tools for detecting gross misfit of the model and make remedies such as transformation of outcome and/or covariates

6. have a thorough understanding of the concepts of confounding and interaction, preferably in the context of their own work

7. know about estimation of association parameters, statistical significance and power, so that they can write the statistical methods and results sections for their own research reports (limited to basic statistical procedures)

8. know when to seek expert help.


Content

Topics covered: Basic statistical concepts (probability, distribution, estimation, test of significance). Analysis of quantitative measurements (group comparisons, regression and the general linear model). Sample size determination. Categorical data (association in two-way tables, logistic regression analysis). Survival analysis (Kaplan-Meier, Cox regression). Correlated measurements, longitudinal data.


Statistical software - R:

This course uses R at a beginners level. Are you sure that you have chosen the right software and the right class? See this link for more information: http://staff.pubhealth.ku.dk/~sr/BasicStatistics/diverse/valg_af_software.html

For the exercise classes, the participants must bring their own laptops with R installed. Before course start you are expected to become familiar with R. You find our online introduction to R at r.sund.ku.dk. In the introduction we guide you through how to install R, how to load data, data manipulation and simple calculations and plots. Estimated number of hours to complete the introduction: 10 +/- 5 hours depending on your R- and technical skills. You can start working with the introduction now if you have limited time up to the course start.


Participants

Ph.D.-students. In case of vacant seats, also other health researchers. Max. 25 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

Danish


Form

10 x 3 hr forum lectures and 10 x 3 hr classroom exercises. Physical attendance at the lectures is recommended. Physical and active attendance in at least 8 out of the 10 classroom exercises is required to pass the course. Preparation required for some of the exercise classes, typically by looking at exercises in advance or presenting part of the exercise. Mandatory take home exercise.

Please note that the course has approximately 74 hours of extra preparation:

-Preparation before course start, online introduction to software: 20 hours
-Mandatory home assignment: 30 hours
-Extra videos: 15 hours
-Extra preparation for class exercises: 9 hours


Course directors

Associate professor Julie Lyng Forman and Assistant professor Aksel Karl Georg Jensen

Teachers

Associate professor Julie Lyng Forman and Assistant professor Aksel Karl Georg Jensen plus external teachers.


Dates

Course 4: 24 January – 7 April 2022

Specific dates: 24, 27, 31 January, 3, 7, 10, 21, 24, 28 February, 3, 7, 10, 14, 17, 21, 24, 28, 31 March, 4, 7 April 2022

Mondays 10-13, Thursdays 12-15


Course location

Online


Registration

Please register before 3 January 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 enrollment.


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.

Search
Click the search button to search Courses.


Course calendar
See which courses you can attend and when
JanFebMarApr
MayJunJulAug
SepOctNovDec



New courses
Courses are published regularly. High demand courses are announced in spring and autumn.


Learn which courses are announced on fixed dates