HCUP Data Analysis Services
HCUP Research Support: NIS, NRD, NEDS & More
We specialize in large-scale clinical epidemiology, health-services research, cost analysis, and predictive modeling using Healthcare Cost and Utilization Project (HCUP) datasets.
📊 End-to-end analytics for complex administrative datasets
Our team has hands-on experience working with national- and state-level HCUP datasets and can support you from concept to submission-ready manuscript or report. Whether you are planning a resident thesis, multi-center outcomes study, or grant-funded project, we can help you design and execute robust analyses that stand up to peer review.
We work with HCUP datasets including (but not limited to):
- National Inpatient Sample (NIS)
- Nationwide Readmissions Database (NRD)
- Nationwide Emergency Department Sample (NEDS)
- Kids’ Inpatient Database (KID)
- State Inpatient Databases (SID) and related state-level files
Typical projects include:
- Clinical epidemiology and outcomes research across specialties.
- Cost-of-care, length-of-stay, and resource utilization analyses.
- Readmission, complications, and mortality modeling (logistic, time-to-event, competing risks).
- Risk-adjusted benchmarking, propensity methods, and machine-learning–based prediction.
While we finalize this page, we are onboarding HCUP projects via email.
Please write to contact@thesishelpline.com with:
- The HCUP dataset(s) you plan to use (e.g., NIS 2016–2022, NRD, NEDS, KID, SID).
- A brief summary of your study goals or primary hypothesis.
- Any institutional or thesis timelines we should be aware of.
We will respond with a structured project plan, expected deliverables, estimated timelines, and a transparent quote tailored to your needs.
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