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• Complex statistics

Complex statistics enable us to draw inferences and make predictions from the sample data about the population. This includes: comparative analysis, correlation analysis, regression analysis (odds ratio), survival analysis (Cox regression & Kaplan Meier curve, Hazard ratio), reliability analysis, factor analysis, ROC curve analysis (sensitivity, specificity, accuracy, optimal cut off), and other statistical tests (including Chi square test,      t – test , one way ANOVA, Post Hoc test , Non Parametric test, etc.).

• Biostatistics Review:

Herein we carry out a comprehensive assessment to ensure that the statistical analysis that has been undertaken and reported in the manuscript is accurate. This includes a review of all the calculations related to sample size, p-value and multivariate analysis.

• Scientific Review:

Owing to the journal’s long waiting time for peer review, it is a good idea to get your manuscript critically evaluated for any scientific and technical issues by a person with expertise on the research topic that can help you improve any potential gaps related to methodology, analysis, reporting, significance and generalizability of findings. Any issues related to clarity of the manuscript can be addressed. This will enable you to save time and have a comparatively smoother journal peer review.