Data and Publication
Statistical Analysis
Support from experimental design through hypothesis testing; publication-ready tables, charts and methods-section text.
About the service
Data collected correctly becomes the weakest link of a study when it is not analysed correctly. Our statistical analysis service evaluates your data with the appropriate method and produces publication-ready outputs.
Where possible the process starts at the experimental design stage: sample size, number of replicates and the comparison structure are decided in advance. During analysis, normality and variance assumptions are checked; parametric or non-parametric tests are selected to suit the data and corrections for multiple comparisons are applied.
Process
- Research question and data structure
- Data cleaning and assumption checks
- Selection of appropriate tests
- Analysis and multiple-comparison correction
- Preparation of charts and tables
- Interpretation and reporting
Deliverables
- A justified list of the tests applied
- Publication-ready tables and charts
- Effect sizes and confidence intervals
- Ready-to-use analysis text for the methods section
- Analysis output files
Sample and document requirements
The data set should be sent as a spreadsheet, together with descriptions of the variables.