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28887-01 - Lecture with practical courses: Statistical modelling 6 CP

Semester fall semester 2023
Course frequency Every fall sem.
Lecturers Penelope Vounatsou (penelope.vounatsou@unibas.ch, Assessor)
Content Correlation and Linear Regression
Logistic Regression
Poisson and Negative Binomial Regression
Survival models
Learning objectives To understand, apply and interpret the results of statistical models for continuous, binary, counts and time to event independent data (linear, logistic, poison, negative binomial, Cox proportional hazards and parametric survival regression models); to be able to identify the appropriate statistical model for data analysis, apply and interpret the results; to gain insight into statistical thinking; to apply the statistical software R for data analysis.
Comments Methods: Lectures, exercises, computer practicals in R and project work

 

Admission requirements Advanced
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Wednesday 13.15-17.00 Swiss TPH Neubau, Seminarraum 2

Dates

Date Time Room
Wednesday 20.09.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 1
Wednesday 27.09.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 04.10.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 11.10.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 18.10.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 25.10.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 01.11.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 08.11.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 15.11.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 22.11.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 29.11.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 06.12.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 13.12.2023 09.00-12.30 Swiss TPH Neubau, Seminarraum 2
Wednesday 20.12.2023 13.15-17.00 Swiss TPH Neubau, Seminarraum 6
Modules Doctorate Science Epidemiology: Recommendations (PhD subject: Epidemiology)
Module: Advances in Epidemiology, Statistics and Global & Public Health (Master's Studies: Epidemiology)
Assessment format continuous assessment
Assessment details Written final exam & assignments
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale Pass / Fail
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Schweizerisches Tropen- und Public Health-Institut

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