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

Semester fall semester 2022
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 5

Dates

Date Time Room
Wednesday 21.09.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 2
Wednesday 28.09.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
Wednesday 05.10.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
Wednesday 12.10.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
Wednesday 19.10.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
Wednesday 26.10.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
Wednesday 02.11.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
Wednesday 09.11.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 6
Wednesday 16.11.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
Wednesday 23.11.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
Wednesday 30.11.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
Wednesday 07.12.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
Wednesday 14.12.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
Wednesday 21.12.2022 13.15-17.00 Swiss TPH Neubau, Seminarraum 5
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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