Development of a Combined Neonatal Risk Index using Logistic Regression
Budget: $30 – $250 USD
Objective: This project aims to identify variables related to low Apgar scores and NICU admissions, and compare neonatal weight with percentiles. The focus will be on developing and validating a neonatal risk index through detailed data analysis.
Requirements:
- Detailed exploration of variables linked to low Apgar scores (<7 at 5 minutes) and NICU admission.
- Logistic regression models developed in STATA and Python.
- Comparison of neonatal weight against percentiles for further insights.
Deliverables:
1. A detailed report summarizing the findings, including recommendations based on the analysis.
2. Comprehensive graphs and visuals to support findings.
3. Reproducible codes in STATA and Python.
Ideal Freelancer:
- Experienced in clinical or epidemiological data analysis.
- Proficient with logistic regression methods.
- Familiarity with tools like STATA and Python.
Requirements:
- Detailed exploration of variables linked to low Apgar scores (<7 at 5 minutes) and NICU admission.
- Logistic regression models developed in STATA and Python.
- Comparison of neonatal weight against percentiles for further insights.
Deliverables:
1. A detailed report summarizing the findings, including recommendations based on the analysis.
2. Comprehensive graphs and visuals to support findings.
3. Reproducible codes in STATA and Python.
Ideal Freelancer:
- Experienced in clinical or epidemiological data analysis.
- Proficient with logistic regression methods.
- Familiarity with tools like STATA and Python.