Basic statistics for graduate students in the life sciences - an introduction using R

Lecturer:

Prof. Dr. Tim Friede, Dr. Christian Röver

Course typ:

Blockveranstaltung

Description:

This course is a 5-day introduction to the fundamental statistical concepts used in the analysis of experiments in the life sciences. The course covers the following topics:

- Data:

data import, measurement levels basic summary statistics basic graphics

- Probability:

probabilities, distributions, densities, quantiles, expectation, location/scale parameters, normal distribution

- Inference:

estimation, confidence intervals, hypotheses, distribution parameters, decisions, errors, test, power, sample size, nonparametric tests

- Correlation and regression:

bivariate data, linear regression, least-squares, correlation, generalized linear regression

- Advanced topics:

nonlinear regression, multivariate regression, main effects, interactions, random effects, ANOVA

The course will be taking place in an online format. Attendees are required to have RStudio (freely available from www.rstudio.com) installed in order to follow the exercises.

This five-day course will take place online or in [Computer Room (CIP) of the Department of Medical Statistics, Humboldtallee 32, ground floor][1] in April-May 2022 (April 26, 27, May 3, 10, 17), 14:00-17:30h.

The course is given by Dr. Christian Röver (< christian.roever@med.uni-goettingen.de >).

[1]: https://lageplan.uni-goettingen.de/?piz=4395&etage=EG

Place:

unspecified

Semester:

SoSe 2024

Times:

Tue.. 14:00 - 17:30 (weekly), Dates on Wednesday, 17.04.2024, Thursday, 02.05.2024 14:00 - 17:30
First appointment: Tuesday, 16.04.2024 14:00 - 17:30

Course number:

340061

Further information from Stud.IP about this course

Home institute: Göttinger Graduiertenzentrum für Neurowissenschaften, Biophysik und molekulare Biowissenschaften (GGNB)
Participants registered in Stud.IP: 15
Number of postings in Stud.IP forum: 2
Number of documents in the Stud.IP download area: 11