Applied Biostatistics for Clinical Research [Intermediate]

Stop second-guessing your statistics. This comprehensive
15-day program gives doctors and researchers the deep
practical knowledge needed to independently analyze clinical
data, interpret results, and produce journal-ready research.

⏱ Duration: 15 Days | Weekend Classes
(Designed for busy clinicians)

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📚 What You’ll Learn:

🔬 Hypothesis Testing
– Deep conceptual understanding — never misinterpret
a p-value again

📊 Comparative Tests
– t-tests (Independent, Paired, One-sample) — Compare
groups with precision
– ANOVA / ANCOVA (One-way & Two-way) — Analyze multiple
groups simultaneously
– MANOVA / MANCOVA — Handle multiple outcome variables
in one analysis
– Chi-square Tests (all types) — Analyze categorical &
frequency data

📈 Correlation & Regression
– Correlation Analysis — Measure strength & direction
of relationships
– Linear Regression (Simple & Multiple) — Predict
continuous outcomes
– Logistic Regression — Model binary clinical outcomes
like a pro

🔑 Key Clinical Measures
– Odds Ratio & Relative Risk — Essential for
epidemiological research
– Kappa Statistic — Measure inter-rater agreement
in clinical studies
– Kendall Tau — Non-parametric correlation for
ordinal data
– CMH Test — Stratified analysis controlling
for confounders

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🎯 By the End of This Course, You Will:

✅ Perform complete statistical analysis for your
thesis or research paper
✅ Choose the correct statistical test for any
clinical scenario
✅ Interpret results at journal publication level
✅ Handle reviewer comments on statistics with
confidence
✅ Write a flawless methods & results section

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🏆 Who Is This For?

– MD / MS / DNB residents with ongoing thesis work
– Clinical researchers handling real patient data
– Doctors preparing research for journal submission
– Anyone who has basic stats knowledge and wants
to go deeper

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🎖 Certificate of Completion included
📩 Doubt support via WhatsApp & email
🖥 Live online sessions with recordings
🏥 Real clinical datasets used throughout