Complete Directory of Medical Statistics & Research Tools
Curated by Dr. Nilesh G. Patel (Professor, Community Medicine). Essential resources for MBBS, MD/MS, and Clinical Researchers.
1. Core Statistical Analysis & Research Planning
Input raw data to generate descriptive tables and automatically apply appropriate statistical tests for MD dissertations.
Open Analysis Tool →Interactive guide to determine the best test (Parametric vs. Non-parametric) based on your variables.
Identify My Test →Precise calculations tailored for MD/MS thesis protocols, cross-sectional studies, and clinical trials.
Calculate Now →A roadmap for selecting descriptive, analytical, or experimental research architectures.
View Guide →2. Advanced Biostatistics & Evidence Synthesis
Create professional forest plots for evidence-based medicine and systematic reviews.
Generate Plot →Analyze time-to-event data and generate survival curves for longitudinal oncology studies.
Start Analysis →Test the internal consistency and reliability of your research questionnaires and validated scales.
Check Reliability →The clinical standard for assessing agreement between two measurement methods or observers.
Assess Agreement →Perform Pearson/Spearman correlation and Multiple Logistic or Linear Regression analysis.
Run Regression →3. Diagnostic Accuracy & Reliability Tools
Instantly calculate Sensitivity, Specificity, PPV, and NPV for clinical screening evaluation.
Analyze Accuracy →Evaluate inter-rater reliability and observer agreement beyond simple chance.
Calculate Kappa →Visualize data distribution and identify outliers for comparative research and publications.
Generate Plot →4. Public Health & Clinical Practice Tools
Updated tool for determining SEC using current Indian scales (Kuppuswamy/B.G. Prasad).
Calculate SEC →Streamline nutritional assessments and records for medical student field visits and family studies.
Generate Record →Generate vaccine schedules based on the latest National Immunization Schedule (UIP) and IAP guidelines.
View Schedule →Track pediatric growth parameters against national (IAP) and international (WHO) standards.
Plot Growth →5. Hypothesis Testing & Significance
Compare means between two independent groups for p-value significance.
Calculate T-Test →Ideal for analyzing "Before and After" clinical intervention studies and repeated measures.
Run Paired Test →Analyze categorical data, contingency tables, and associations between variables.
Calculate Chi-Square →Curated by Dr. Nilesh G. Patel
Professor, Department of Community Medicine. Specialist in Epidemiology, Biostatistics, and Research Methodology.
This portal is designed to bridge the gap between medical data and evidence-based results for students in India.