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R3 – Advanced regression models & survival analysis

November 25 : 09:00 - 16:30 CET

9500 SEK
R Project Statistics Logo

The course covers some common but advanced regression models as well as survival analysis.

We will cover non-linear regression models like logistic regression and Poisson regression, where the response variable can be either binary (yes/no) or counts. In survival analysis, we’ll have a look at Kaplan-Meier survival curves and regression models, including Cox proportional hazards regression.

Course goals

  • To be able to use R to fit, visualise and interpret models for logistic regression, count regression and survival analysis.

Prerequisites

  • R1 and R2 or similar.

Details

Date:
November 25
Time:
09:00 - 16:30 CET
Cost:
9500 SEK
Event Categories:
,

Venue

Online

Organizer

Statistikakademin

 

Event Conditions

Course registration is binding. Upon cancellation more than 8 working days before the course start date, we invoice 50% of the course fee. Upon cancellation less than 8 working days before the course start date, we invoice the full course fee. Click here to read the full Terms and Conditions!