Skip to main navigation
Skip to search
Skip to main content
Mayo Clinic Home
Home
Profiles
Departments/Divisions
Grants
Research output
Prizes
Search by expertise, name or affiliation
Separating variability in healthcare practice patterns from random error
Laine E. Thomas,
Phillip J. Schulte
Quantitative Health Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Separating variability in healthcare practice patterns from random error'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Healthcare
100%
Random Error
96%
Imputation
64%
Quality of Care
50%
Myocardial Infarction
41%
Quality Improvement
41%
Nonparametric Bayes
40%
Bayesian Hierarchical Model
39%
Dirichlet Process Prior
38%
Estimate
37%
Moment
37%
Parameter Tuning
33%
Empirical Bayes
32%
Hierarchical Model
32%
Gaussian Model
31%
Bayesian Methods
29%
Measurement Error
29%
Statistical method
26%
Smoothing
24%
Requirements
21%
Sample Size
20%
Simulation Study
19%
Alternatives
16%
Context
16%
Medicine & Life Sciences
Delivery of Health Care
50%
Bayes Theorem
33%
Quality Improvement
26%
Sample Size
24%
Quality of Health Care
23%
Registries
21%
Hospitalization
20%
Myocardial Infarction
19%
Physicians
17%