Expert statistical consulting that identifies meaningful data insights and communicates this information tailored to your stakeholders.
We’ll equip you with the knowledge and confidence to understand and effectively communicate your results, whether they are from simple calculations or outputs from complex data models.
Our consulting expertise includes:
- communicating results tailored to diverse audiences
- creating customised training packages for your staff
- reviewing new statistics methods, including their impact on policy
- study design and sample size calculations
- critically appraising research proposals
- understanding user or customer experience
- managing complex & big data sets
Why Simplify Stats?
- We have over 15 years of industry experience in statistics and biostatistics in the public sector, academia, and clinical trials.
- We work with you to extract meaningful insights
- We specialise in communicating statistical methodologies simply
Example 1: Update an existing report to include new data insights
We coordinated stakeholder consultation sessions to identify the needs of these stakeholder groups. It was identified that a comparison metric was required, and disclosure control would be important. We worked with our client to include a relevant comparison metric and created content that explained how to interpret it, in words and visually. Stakeholders have responded well to the revised reports.
(Note: the outputs shown here are generic versions.)
Example 2: Determine the study design and sample size for a small population
We met with the project team to understand their ecology needs. There was some concern over the components that the study design would not factor in (e.g. region). We sent the client a file they could interact with to understand how the sample would be distributed (approximately) and the effects across factors accounted for and not accounted for in the design.
A solution within the client’s sampling budget was found and we conducted the statistical analyses after the data were collected with case studies to explain the statistical model outputs.
(Note: the outputs shown here are generic versions.)