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Advanced regression models
R - 1 day
The course covers some common but advanced models like logistic and poisson regression. We’ll also have a look at mixed models and how to fit models with missing data.
We will cover non-linear regression models like logistic regression and Poisson regression, where the response variable can be either binary (yes/no), counts, or prevalence. Mixed models are used to analyse data with repeated measurements on the same subjects. Here we’ll have a look at fixed and random effects, Linear mixed models (LMM) and Generalised linear mixed models (GLMM).
Course goals: To understand how to visualise and interpret models for logistic regression, count regression, and mixed models. To be able to fit models with missing data.
Prerequisites: R 1 (Introduction to R + Introduction to modern statistics) + Linear regression & ANOVA or similar.
Kursinformation
Advanced regression models
Course length: 1 day
Language: English
Hours: 09:00-16:30 (CET)
Price: 8 500 SEK excluding VAT
Kurstillfällen
30 sep 2026
Online
26 nov 2026
Online
Förhandsbokning
(obestämt datum)
Program
GENERALISED LINEAR MODELS
Logistic regression
Poisson regression and negative binomial regression
Fitting, building and validating models
MIXED MODELS
Fixed and random effects
Linear mixed models (LMM)
Generalised linear mixed models (GLMM)
MISSING DATA
Multiple imputation
Information & Frågor
Questions?
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Online course
All our online courses are instructor-led and on the Zoom video platform. Course literature and exercises are either distributed in conjunction with the course or delivered through mail well in advance before the course. This information and and other important instructions are found in your booking confirmation after a reservation is made.
Onsite courses
The address and any additional information is announced in an invitation email send out the week before the course. Course literature and exercise material are distributed onsite. Make sure you have access to a computer with the current program installed for the course.
Booking terms
Statistikakademin has the right to cancel any course in the event of an insufficient number of participants. In case of that happening, you will of course be offered a new course date or be fully compensated. You have the right to rescedule and change course dates up to 15 days before the start of the course. If something comes up last minute and you are not able to attend, you can of course send a colleague instead.
Kursledare
Måns Thulin
Appreciated educator with extensive statistical expertise
Måns Thulin works as a consultant and lecturer in statistics, machine learning, and artificial intelligence. His clients include large corporations, government agencies, startups, and researchers. By using advanced statistical analysis, he has solved problems in a wide range of areas, from antibiotic resistance to nuclear fuel, from milking robots to HR issues, from herniated discs to music videos. He has twelve years of teaching experience at institutions such as Uppsala University and the University of Edinburgh. Måns is also the author of the popular textbook Modern Statistics with R. His educational goal is to help all course participants understand statistical methods – statistics should feel logical, not like black magic.