These workshop developed data skills regarding the analysis, interpretation and presentation of data. In virtue of attending, participants are now able to draw upon ways to effectively present experimental results analyse, discuss and summarise their data and describe and deploy a further set of analyses to the experimental results.
- To improve the capabilities of at least six participants per CIP of the descriptive analytical techniques appropriate for disease and questionnaire data.
- To demonstrate best practice approaches to the analysis of epidemiological datasets.
- To develop the participants’ skills in the effective use of MS Excel and Epi Info for conducting descriptive data analysis.
- To enhance the participants understanding of the data they have collected and how those data can be interpreted.
- To enable CIP participants to identify whether the data they collected require more detailed analysis to answer the specific scientific question(s) their CIP has addressed, and what those further analytical procedures may be.
- To enable the participants to practise presenting their data, analyses and findings to colleagues who have not been personally involved in their CIP.
- Understand the different categories of epidemiological data that have been collected and the descriptive analytical techniques that are available and appropriate for each category of data.
- Understand how to use Epi Info and Microsoft Excel to describe, display and summarise data in meaningful ways.
- Interpret findings from data analysis and formulate appropriate inferences and conclusions.
- Describe, discuss and present the preliminary findings of epidemiological data including their CIP data.
- Identify the further analytical techniques that could be meaningfully applied to their data and prepare the data for these further analyses.
- Participants are able to present findings of data analysis in tables, graphs and text of technical reports.