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DTSTART;VALUE=DATE:20260302
DTEND;VALUE=DATE:20260313
DTSTAMP:20260414T233336
CREATED:20260119T115138Z
LAST-MODIFIED:20260205T124635Z
UID:10001764-1772409600-1773359999@ddsa.dk
SUMMARY:Applied Machine Learning in health Sciences
DESCRIPTION:The aim of the course is to introduce the student to machine learning techniques and enable the student to apply these methods to analyze complex data sets as typically encountered in modern research. The student will achieve an understanding of the theoretical background of supervised- and unsupervised machine learning techniques and will gain practical experience in applying these techniques in real-world data analysis.\nDisclaimer:\nDDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/applied-machine-learning-in-health-sciences/
LOCATION:Aarhus University\, Aarhus C
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241107
DTEND;VALUE=DATE:20241122
DTSTAMP:20260414T233336
CREATED:20240424T102930Z
LAST-MODIFIED:20240424T102930Z
UID:10001092-1730937600-1732233599@ddsa.dk
SUMMARY:Get ready to work with Biostatistics
DESCRIPTION:To achieve knowledge on data documentation\, basic statistical tests and the assumptions for performing these tests.\n         Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/get-ready-to-work-with-biostatistics-2/
LOCATION:Aarhus University\, Aarhus C
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241105
DTEND;VALUE=DATE:20241122
DTSTAMP:20260414T233336
CREATED:20240424T103023Z
LAST-MODIFIED:20240424T103023Z
UID:10001086-1730764800-1732233599@ddsa.dk
SUMMARY:Analysis of variance and repeated measurements (4 + 2 days course)
DESCRIPTION:To give the participants an introduction to Analysis of Variance with focus on repeated measures in experimental studies\, and to enable the participants to choose a relevant statistical analysis of own data.\n         Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/analysis-of-variance-and-repeated-measurements-4-2-days-course/
LOCATION:Aarhus University\, Aarhus C
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241002
DTEND;VALUE=DATE:20241101
DTSTAMP:20260414T233336
CREATED:20240424T090903Z
LAST-MODIFIED:20240424T090903Z
UID:10001094-1727827200-1730419199@ddsa.dk
SUMMARY:Basic Biostatistics - part 2
DESCRIPTION:The course provides an introduction to more advanced statistical models and analyzes in medical research\n         Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/basic-biostatistics-part-2/
LOCATION:Aarhus University\, Aarhus C
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240904
DTEND;VALUE=DATE:20240926
DTSTAMP:20260414T233336
CREATED:20240424T091249Z
LAST-MODIFIED:20240424T091249Z
UID:10001093-1725408000-1727308799@ddsa.dk
SUMMARY:Basic Biostatistics - part 1
DESCRIPTION:The course provides the students with basic skills using the most common\, simple statistical models and analyzes in medical research\n         Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/basic-biostatistics-part-1/
LOCATION:Aarhus University\, Aarhus C
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240822
DTEND;VALUE=DATE:20240913
DTSTAMP:20260414T233336
CREATED:20240424T091300Z
LAST-MODIFIED:20240424T091300Z
UID:10001091-1724284800-1726185599@ddsa.dk
SUMMARY:Get ready to work with Biostatistics
DESCRIPTION:To achieve knowledge on data documentation\, basic statistical tests and the assumptions for performing these tests.\n         Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/get-ready-to-work-with-biostatistics/
LOCATION:Aarhus University\, Aarhus C
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240527
DTEND;VALUE=DATE:20240601
DTSTAMP:20260414T233336
CREATED:20240424T090421Z
LAST-MODIFIED:20240424T090421Z
UID:10001095-1716768000-1717199999@ddsa.dk
SUMMARY:Cancer Epidemiology using the Danish Clinical Cancer Databases
DESCRIPTION: To provide students with an overview on how to take a research idea through to implementing\, analyzing\, and interpreting an epidemiologic study using the Danish Clinical Cancer Databases\, and Denmark’s network of medical and population-based registries. Each concept will be introduced in a lecture. Through a combination of exercises and computer labs\, students will be provided with guidance on implementing\, analyzing and interpreting studies using data from the clinical cancer databases. Students are not required to complete an exam at the end of the course. \n         Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/cancer-epidemiology-using-the-danish-clinical-cancer-databases/
LOCATION:Aarhus University\, Aarhus C
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240513
DTEND;VALUE=DATE:20240518
DTSTAMP:20260414T233336
CREATED:20240424T081247Z
LAST-MODIFIED:20240424T081247Z
UID:10001096-1715558400-1715990399@ddsa.dk
SUMMARY:Introduction to Machine Learning for Health Research
DESCRIPTION:This course will provide students with broad exposure to the elements of machine learning and its practical applications within epidemiologic research and practice. The course will combine didactic lectures with group discussions and programming exercises to ensure a balance of substantive knowledge and practical skills. Through this approach\, students will learn to apply critical thinking techniques as they explore the opportunities and limitations of using machine learning within the context of epidemiology.\n         Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/introduction-to-machine-learning-for-health-research/
LOCATION:Aarhus University\, Aarhus C
CATEGORIES:PhD Course
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