A sampling strategy for longitudinal and cross-sectional analyses using a large national claims database
ImportanceThe United States (US) Medicare claims files are valuable sources of national healthcare utilization data with over 45 million beneficiaries each year. Due to their massive sizes and costs involved in obtaining the data, a method of randomly drawing a representative sample for retrospectiv...
Saved in:
Main Authors: | Timothy L. McMurry (Author), Jennifer M. Lobo (Author), Soyoun Kim (Author), Hyojung Kang (Author), Min-Woong Sohn (Author) |
---|---|
Format: | Book |
Published: |
Frontiers Media S.A.,
2024-02-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Regional and racial disparities in major amputation rates among medicare beneficiaries with diabetes: a retrospective study in the southeastern USA
by: Min-Woong Sohn, et al.
Published: (2023) -
A strategy to identify event specific hospitalizations in large health claims databases
by: Joshua Lambert, et al.
Published: (2022) -
Comorbidity Burden Among Patients with Vitiligo in the United States: A Large-Scale Retrospective Claims Database Analysis
by: Khaled Ezzedine, et al.
Published: (2023) -
Adjusting for Confounders in Outcome Studies Using the Korea National Health Insurance Claim Database: A Review of Methods and Applications
by: Seung Jin Han, et al.
Published: (2024) -
Incidence of second primary cancers in oral and pharyngeal cancer patients using a large medical claims database in Japan
by: Masanori Matsui, et al.
Published: (2023)