I will perform clinical data analysis and create publication ready plots
Algorithm Engineer, Clinical Biostatistics and Machine Learning
About this Gig
Are you a medical researcher or clinician struggling to turn raw datasets into publication-ready evidence?
As a Master's-educated Clinical Algorithm Engineer, I don't just run statistical codeI understand the clinical significance behind your variables. I bridge the gap between rigorous medical research and advanced data science, ensuring your results meet the strict standards of high-impact SCI journals.
What I Offer:
- Data Preparation: Data cleaning, handling missing values, and Propensity Score Matching (PSM).
- Descriptive Stats: Baseline characteristics (Table 1), t-tests, ANOVA, Chi-square.
- Advanced Modeling: Survival Analysis (Kaplan-Meier, Cox regression), Restricted Cubic Splines (RCS), and multivariable analyses.
- Machine Learning: Predictive model building (XGBoost, Random Forest, etc.) for complex multidimensional data.
- Publication-Ready Visuals: High-res Forest plots, Nomograms, DCA, and ROC curves tailored to academic formatting.
Why Choose Me?
- Deep clinical background combined with Big Data engineering expertise.
- Fully reproducible workflows using advanced R and Python.
- 100% Data Confidentiality.
Note: Please message me with your research goals BEFORE ordering so we can
FAQ
Will my clinical data be kept confidential?
Absolutely. I adhere to strict data privacy standards. Your datasets will be used solely for the purpose of your analysis and will be securely deleted upon completion of the project. I am also willing to sign an NDA if required.
What software do you use for statistical analysis?
I primarily use advanced R and Python programming. This allows me to create highly customized workflows, perform complex machine learning, and generate high-resolution, reproducible figures that standard point-and-click software often cannot achieve.
What do I need to provide to get started?
lease provide your dataset (Excel or CSV format), your core research objectives or study protocol, and any specific formatting guidelines from your target journal (e.g., specific DPI for figures, font preferences).

