Prepare the dataset
Review data structure and analysis requirements.
Data analysis
Statistical analysis of nutrition and health research data using Stata, R, or SPSS, with clear interpretation and reporting.
Pricing is confirmed after we agree on the scope and delivery format.
Analysis support can include statistical work, visualisation, and interpretation.
Review data structure and analysis requirements.
Apply appropriate methods using an agreed tool.
Present results in a clear, useful format.
Our data analysis service supports researchers and organisations who have collected data and need expert statistical analysis and interpretation. We work with quantitative datasets from nutrition surveys, dietary assessments, clinical studies, and programme evaluations.
We provide a full analysis plan before starting work, conduct the agreed analysis, and deliver results in a clear format with written interpretation. Output can be formatted for thesis chapters, journal articles, or programme reports.
You share your dataset and describe your analysis requirements
We review the data and agree on a full analysis plan before starting
We conduct the analysis using the agreed software and methods
We deliver results tables, figures, and a written interpretation of findings
We are available for follow-up questions after the analysis is delivered
A full analysis plan is agreed before any work begins.
Analysis conducted in Stata, R, or SPSS based on your preference.
Results tables, figures, and written interpretation formatted for your intended use.
Data shared securely and analysis delivered remotely.
We analyse data from nutrition surveys, 24-hour dietary recalls, food frequency questionnaires, anthropometric assessments, clinical trials, and programme monitoring datasets.
We use Stata, R, and SPSS. We can work with your preferred software or recommend the most appropriate tool for your dataset.
Output includes cleaned data, analysis code or syntax, results tables, figures, and a written interpretation of findings. Format is agreed based on your intended use.
Timeline depends on dataset size and complexity. We provide a time estimate after reviewing your data and analysis requirements.
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