Services
Statistical Programming
- Study design and sample size calculations
- Statistical analysis plans (SAPs)
- Clinical study reports
- CDISC compliance (SDTM, ADaM)
- Regulatory submissions support
Data Science
- Predictive modeling and machine learning
- Data visualization and dashboards
- R programming and Quarto reporting
- Reproducible research workflows
- Python analytics pipelines
Military Medicine & Trauma
- Military medical R&D support
- Trauma registry design and analysis
- DoD and federal collaboration
- Outcomes research and benchmarking
- Performance improvement analytics
OMOP & Interoperability
- Common data model implementation
- Registry integration and harmonization
- Real-world evidence generation
- Clinical data standardization
- OMOP CDM consultation
Real-World Evidence
- Observational study design
- Causal inference methods
- Propensity score analysis
- Missing data strategies
- Sensitivity and bias analysis
AI & Decision Support
- AI model evaluation and validation
- Clinical decision support analytics
- Uncertainty quantification
- Ethics and interpretability review
- Bayesian workflow implementation
Code & Tools
Work is delivered using open, reproducible tools โ primarily R, Quarto, and Python. Deliverables are fully documented, version-controlled, and built for reuse.
# Example: Reproducible analysis in R
library(tidyverse)
library(gtsummary)
# Clean, annotated, audit-ready code
tbl_summary(trial, by = trt) |>
add_p() |>
add_overall() |>
bold_labels()# Example: Python data pipeline
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("registry_data.csv")
df.groupby("outcome")["los"].describe()
Note
All code is written to be readable, reproducible, and transferable โ not dependent on any proprietary platform.
Who I Work With
- Federal and DoD agencies โ military medicine, trauma systems, health research
- Academic medical centers โ outcomes research, clinical trials support
- Healthcare organizations โ registry analytics, quality improvement
- Research teams โ statistical programming, reproducible reporting
Get in Touch
Available for project-based consulting, statistical programming contracts, and research collaboration.
๐ง jdstallings@dataindeed.org
๐ Converse, TX