Photos on this page: Iceland during the 21st Nordic Demographic Symposium 2019
Photo credit on this page: Sven Drefahl
Courses and supervision
When I think back on my time as a student, three teachers really stand out. Now that I’ve spent over a decade teaching myself, I see that while they were definitely talented, it was their hard work, their passion for what they were teaching, and their genuine care for us students that really made them special. Those are the things that can go unnoticed, but they’re the things that matter the most.
I’ve spent hundreds of hours teaching a bunch of different courses, mainly about different types of statistical and demographic methods but also on demographic theory. You can find some details in my Curriculum Vitae, or just take a quick look at the summary of my courses below.
I’ve also had the chance to teach some shorter courses, for example at Tallinn University and the Swedish Public Employment Agency, focusing on hazard regression and event-history analysis.
I currently supervise PhD-students and regularly supervise and examine master’s theses in Demography.
My current courses at Stockholm University
Course leader. This course aims to develop students’ analytical and interpretative skills by familiarizing them with basic concepts and measures in demography. Students will use, present and interpret the life table, standardization, the Lexis diagram, and many more.
Event-History Analysis: Regression for Longitudinal Event Data
Course leader. This course is an introduction to event-history analysis (also known as survival analysis, hazard regression, intensity regression, or duration data analysis). This course covers univariate and basic multivariate (regression) methods for analysis of longitudinal data, as well as the data management skills specific to event-history analysis in Stata.
Lecturer. This course aims to familiarize students with the three main population processes – fertility, mortality and migration – by focusing on population developments in Sweden and Europe from the end of the 1800s onward, with some attention to the major population trends and issues in poorer countries
Quantitative Methods in the social Sciences 1
Course leader. The objective of this course is to provide a comprehensive introduction to regression analysis and its uses and limitations. Within these topics, we discuss confounding and indirect effects, interaction effects, variable transformations, outliers, heteroscedasticity, and multi-collinearity.
My Past courses
Stockholm University, Course leader. The purpose of a systematic review is to sum up the best available research on a specific question. This is done by synthesizing the results of several studies. The course explores the range of existing approaches to, and methods for, research synthesis.
Introduction Into data management and statistics
Stockholm University, Course leader. The course is intended for students who wish to acquire practical skills in the management of quantitative data and detailed planning of statistical analyses, as well as a working knowledge of basic statistics. Among the topics covered are: differences between types of data, responsible data management and the ethics of using survey data, basic programming, how to assess variables and write an analysis plan, as well as conduct descriptive and uni- and bi-variate analyses.
Methods for studying the distribution of health
Karolinska Institutet, Lecturer. The course aims to give knowledge in methods for studying the occurrence and distribution of disease in theory and in practice. The course focuses on measures of disease occurrence, comparing disease frequencies, and descriptive epidemiology (crude, specific, and adjusted rates). The course also introduces common designs for epidemiological studies (experimental, cohort-, case-control-, cross-sectional- and ecologic studies) and their interpretation.