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ahmednaseem85

Ahmed Shaaban

@ahmednaseem85
5.0(3)

Biostatistician and academic

Egypt
Arabic, English
About me
I am Dr. Ahmed Naseem, a PhD holder in Molecular Physiology and an American Board Certified Medical Laboratory Scientist (MLS(ASCPi)). With over 15 years of rigorous academic research and statistical experience, I help postgraduate students, medical researchers, and institutions transform raw biomedical data into publication-ready scientific insights. My approach ensures complete data privacy and strict scientific integrity. I don’t just run tests; I deliver clear, actionable interpretations that align perfectly with peer-reviewed journal standards. ... Read more

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ahmednaseem85
Ahmed Shaaban
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Statistical Modeling & Analytics
I will clinical data analysis and statistical reporting for medical
5.0(3)

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Work experience

upwok

Founder & Lead Biostatistician

upwok • Freelance

Nov 2021 - Present • 5 yrs

I lead an elite scientific consulting framework helping medical researchers, clinicians, and Ph.D. candidates secure peer-review success in high-impact international journals. Key Achievements & Methodological Highlights: 📊 Statistical Alignment & Peer-Review Prep: • Prevent Type I/II errors by auditing study designs to satisfy strict peer-review criteria. • Formulate and refine statistical methodology sections for top-tier medical journals. 🎯 Power Analysis & Sample Size: • Conduct precision sample size calculations and statistical power analysis using G*Power. • Author robust sample size justification narratives based on effect sizes to secure methodological validity. 🧹 Advanced Data Cleaning & Imputation: • Address incomplete clinical datasets and missing data mechanisms (MCAR, MAR, MNAR) using advanced imputation (Multiple Imputation, FIML). • Evaluate outlier clinical relevance, applying robust non-parametric adaptations to protect data integrity without arbitrary deletions. 📈 Predictive Modeling & Diagnostic Accuracy: • Build and optimize complex multivariable regression, ordinal regression, and interactive models step-by-step to maximize model fit (Nagelkerke R2). • Execute Diagnostic Accuracy analyses utilizing ROC curves and Area Under the Curve (AUC) to assess incremental clinical value. Stack: R/RStudio, SPSS (v32), G*Power. 💡 Facing clinical trial data issues or journal revisions? Let's discuss your dataset.

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