We are a team of medical professionals providing rigorous, ethical biostatistical support for MD/DM researchers and academic faculty across India. We analyse. We teach. You present with confidence.
We understand your clinical context because we are clinicians ourselves. No jargon. No confusion. Just rigorous, defensible analysis.
Comprehensive statistical consultation for postgraduate medical researchers. From study design to final analysis — we ensure you understand every step and can confidently defend your methodology.
Advanced biostatistical support for faculty, senior residents, and academic researchers pursuing publication in indexed journals. We assist from protocol to final manuscript methods section.
Every figure we produce meets journal standards — ready for submission to PubMed-indexed publications.
We use industry-standard tools used in top medical journals globally. Every analysis is reproducible and documented.
# Power analysis for two-proportion RCT # Primary outcome: 30-day mortality library(pwr) p1 <- 0.30 # control event rate p2 <- 0.18 # expected treatment rate result <- pwr.2p.test( h = ES.h(p1, p2), power = 0.80, sig.level = 0.05, alternative = "two.sided" ) # Add 10% for dropout n_total <- ceiling(result$n * 2 / 0.90) # Result: n = 148 per group (total = 296)
import pandas as pd import seaborn as sns import matplotlib.pyplot as plt # Load nephrology lab dataset df = pd.read_csv('ckd_labs.csv') labs = ['creatinine', 'urea', 'egfr', 'hb', 'potassium', 'phosphate'] # Spearman correlation matrix corr = df[labs].corr(method='spearman') # Publication-quality heatmap plt.figure(figsize=(8, 6)) sns.heatmap(corr, annot=True, cmap='coolwarm', fmt='.2f', vmin=-1, vmax=1) plt.tight_layout() plt.savefig('corr_heatmap.pdf', dpi=300)
We operate under strict ethical principles aligned with ICMR guidelines and NMC research standards. Please read this before engaging our services.
We are a multidisciplinary team of medical professionals — not just statisticians. We understand your clinical context.
Clinical expert with advanced training in biostatistics. Specialises in survival analysis, longitudinal data, and complex regression models.
Senior clinician with extensive experience in RCT design, observational studies, and protocol development for postgraduate research.
Expert in R and Python for medical data analysis. Produces publication-quality figures and reproducible analytical workflows.
Specialist in systematic reviews, meta-analysis, and evidence synthesis. Trained in Cochrane methodology.
Expert in study design, bias assessment, confounding control, and epidemiological methods for clinical research.
Manages project timelines, client communication, and ensures every deliverable meets academic standards and deadlines.
Tell us about your research and we'll get back to you within 24 hours with a plan. No commitment required for the first consultation.