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INTERFACULTY CENTER DATA PROCESSING AND STATISTICS

HUMANITIES - LIFE SCIENCES & MEDICINE
icdsminsmiple

resources

 

workshops, presentations, technical notes, shiny apps, ... all made available to support our research community

Resources

Workshops

= Sample Size Calculation with GPower =
Introduction of the necessary concepts (power, effect size and type I/II errors), with small exercises to promote statistical reasoning. After a focus on the comparison of 2 independent groups, several extensions are highlighted. [webpage]

= Data Manipulation in R, tidyverse =
Introduction of the tidyverse packages dplyr and friends for intuitive and flexible data management in R. [webpage] [pdf]

= Visualization in R, tidyverse =
Introduction of the tidyverse package ggplot2 for intuitive and flexible visualization in R.  [webpage] [pdf]

 

Presentations

= R Primer =
Short introduction on the essentials of the R statistical programming tool. [webpage] [pdf]

= Data Representation =
Brief introduction to help structure data in preparation of statistical analyses; highlighting errors, inconveniences, common problems and solutions. [webpage] [pdf]

= Methodological & Statistical issues in research proposals =
Info session for experienced researchers to help highlight relevant aspects of the research aim and design that are part of a research proposal. [webpage] [pdf]

 

Technical Notes

= Corona hospitalisation SIR model =
Technical note on the analytical approximation of the popular SIR-equations which after reparametrization allow for straightforward parameter estimation and prediction of hospitalisation sustainability based on limited time series. Extensions that add flexibility are highlighted. [pdf
Please reference: Barbé, K.,  Blotwijk, S., & Cools, W. (2020) Data-driven epidemiological model to monitor the sustainability of hospital care, VUB Covid19 Technical Note No. ICDS043020.

 

Talks

= Power, challenging our integrity =
Power, and its challenge to our research integrity. Week of Ethics, VUB, november 2021 [powerpoint]

Tools

Apps

interim analysis / error spending functions: simulator

GSDesigner

effect size calculator for 2-way & repeated measures ANOVA

shiny app
run locally with runGitHub('effectSizes','ICDS-VubUZ')

didactical tool: effect size one-sided t-test

shiny app
run locally with runGitHub('shinyT','ICDS-VubUZ')

Thank you for your information, about the good, the bad and the ugly.