The service includes a thorough expert review of the statistical methods and tests used in your study, assessing their accuracy, validity, and suitability for your research design. You will receive constructive, actionable feedback on your methods, results, and the interpretation of your findings, enabling you to refine your analysis and presentation. In addition, the service offers targeted recommendations for improvement, grounded in current statistical best practices, to strengthen the rigour and credibility of your work.

CrossChannel offers a comprehensive range of statistical analysis services tailored to meet the specific needs of academic and clinical research. 
·   Descriptive Statistical Analysis: This involves testing for normality, identifying outliers and patterns in the data, summarising datasets using measures of central tendency (mean, median, mode) and variability (standard deviation, range), and presenting findings through appropriate tables and graphical representations.
·   Inferential Statistical Analysis: This includes all elements of descriptive analysis, with the addition of univariate and multivariate techniques (e.g. ANOVA, regression modelling, hypothesis testing). These methods are employed to evaluate statistical significance, support hypothesis testing, and facilitate the drawing of valid, evidence-based conclusions.
·    Identification and interpretation of key findings to establish statistical significance
·    Drawing of inferences that are logically and statistically aligned with your research objectives
·    Presentation of results in publication-ready tables and/or graphs, following standard formatting practices    

Note: We will review your analyses but will not conduct the statistical analyses on your behalf. Should you require guidance on selecting appropriate analytical methods at the data planning stage, please use the Custom Statistical Support Form to select the relevant opt-ins. 

Opt-ins
·    Research design and methodology: Guidance on study design, sampling strategy, variable selection, and data collection plans
·    Systematic review and data collection: Statistical input during evidence synthesis, data extraction frameworks, and collection protocols
·   Assistance with result interpretation, data presentation (tables/figures), and alignment with journal reporting standards.

Custom Statistical Support: Tailored statistical guidance for your research needs
Choose Custom Statistical Support when you have a unique or complex requirement and are unsure which specific statistical service is most appropriate. Whether you are at the planning stage or finalising your manuscript, we will provide personalised support to help you report statistics with clarity, accuracy, and rigour.