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12385-01 - Lecture: Bayesian Biostatistics 5 CP

Semester spring semester 2021
Course frequency Every spring sem.
Lecturers Penelope Vounatsou (penelope.vounatsou@unibas.ch, Assessor)
Content Introduction to probability theory; Bayesian inference and computation; Regression models for continuous, binary, polytomous and count independent and correlated data; Models for spatio-temporal data; Meta-analysis of clinical trials; Modelling diagnostic error. Statistical inference will be taught using the frequentist and Bayesian approaches
Learning objectives To understand the differences between Bayesian and maximum likelihood inferences, to formulate models within the Bayesian paradigm for different types of independent and correlated outcome data, to model different sources of variation, to estimate the model parameters using existing software and interpret the results.
Comments Methods: Lectures, exercises, computer practicals and project work
21.4./5.5/2.6.2021: Swiss TPH room Alpamayo

 

Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Wednesday 09.15-13.00 - Online Präsenz -
Comments 21.4./5.5/2.6.2021: Swiss TPH room Alpamayo

Dates

Date Time Room
Wednesday 03.03.2021 09.15-13.00 - Online Präsenz -, --
Wednesday 10.03.2021 09.15-13.00 - Online Präsenz -, --
Wednesday 17.03.2021 09.15-13.00 - Online Präsenz -, --
Wednesday 24.03.2021 09.15-13.00 - Online Präsenz -, --
Wednesday 31.03.2021 09.15-13.00 - Online Präsenz -, --
Wednesday 07.04.2021 09.15-13.00 - Online Präsenz -, --
Wednesday 14.04.2021 09.15-13.00 - Online Präsenz -, --
Wednesday 21.04.2021 09.15-13.00 - Online Präsenz -, --
Wednesday 28.04.2021 09.15-13.00 Zz- STPH alt, Kilimanjaro
Wednesday 05.05.2021 09.15-13.00 Zz- STPH alt, Kilimanjaro
Wednesday 12.05.2021 09.15-13.00 Zz- STPH alt, Kilimanjaro
Wednesday 19.05.2021 09.15-13.00 Zz- STPH alt, Kilimanjaro
Wednesday 26.05.2021 09.15-13.00 Zz- STPH alt, Kilimanjaro
Wednesday 02.06.2021 09.15-13.00 Zz- STPH alt, Kilimanjaro
Modules Courses: Master Infection Biology (Master's Studies: Infection Biology)
Doctorate Science Epidemiology: Recommendations (PhD subject: Epidemiology)
Modul: Fields: Public Health and Social Life (Master's degree program: African Studies)
Module: Advances in Epidemiology, Statistics and Global & Public Health (Master's Studies: Epidemiology)
Assessment format continuous assessment
Assessment details Assignments, written exam
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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