Transforming Data into Meaningful Insights

Our medical statistics solutions empower healthcare research by ensuring precise and reliable data analysis.

From sample size determination to advanced statistical modelling, we provide comprehensive services tailored to your research needs.

Our Core Services

Descriptive Statistics: Mean, standard deviation, standard error, variance, median, interquartile range, and confidence interval.

Sample Size Calculation: Accurately determining the required sample size for robust studies.

Power Analysis: Ensuring your study is sufficiently powered to detect meaningful effects.

Data Categorisation and Grouping: Optimal grouping of variables for meaningful analysis.

Assessment of Normality: Graphical and statistical evaluations using histograms, detrended plots, Q-Q plots, P-P plots, Kolmogorov-Smirnov test, and Shapiro-Wilk test.

Categorical Data Analysis: Pearson’s Chi-squared, Fisher’s Exact, Yates Continuity Correction, Cochran–Mantel–Haenszel Chi-squared, and McNemar’s Tests.

Parametric and Non-Parametric Tests: One-sample t-test, Student’s t-test, ANOVA and repeated measures ANOVA, Mann-Whitney U test, Kruskal-Wallis test, Friedman test, McNemar test.

Correlation Analysis: Including Spearman, Pearson, and other advanced methods.

ROC Analysis: Evaluating diagnostic accuracy through sensitivity, specificity, and predictive values.

Regression Analysis: Linear Regression, Ridge Regression, Lasso Regression, Partial Least Squares Regression, Bivariate and Multivariate Logistic Regression, Poisson Regression, Negative Binomial Regression.

Workforce Planning Analysis: Strategic insights for effective resource allocation.

Cost-Benefit and Cost-Effectiveness Analyses: Evaluating the economic impact of healthcare interventions.