- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
-
Englisch
- Bibliographic citation
-
Stratified split sampling of electronic health records ; volume:23 ; number:1 ; day:25 ; month:5 ; year:2023 ; pages:1-7 ; date:12.2023
BMC medical research methodology ; 23, Heft 1 (25.5.2023), 1-7, 12.2023
- Creator
-
Huo, Tianyao
Glueck, Deborah H.
Shenkman, Elizabeth A.
Muller, Keith E.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12874-023-01938-0
- URN
-
urn:nbn:de:101:1-2023091013101738485816
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:01 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Huo, Tianyao
- Glueck, Deborah H.
- Shenkman, Elizabeth A.
- Muller, Keith E.
- SpringerLink (Online service)
Other Objects (12)
Partitions for stratified sampling
Electronic health records and stratified psychiatry: bridge to precision treatment?
Robust Lavallee-Hidiroglou stratified sampling strategy
Variance estimation in stratified adaptive cluster sampling
On stratified sampling for estimating coalitional values
Estimating Gini Ratios with Varying Proportionate Stratified Sampling
The Advantage and Disadvantage of Implicitly Stratified Sampling
Federated learning based on stratified sampling and regularization
The Advantage and Disadvantage of Implicitly Stratified Sampling
A new estimator for mean under stratified random sampling
A ground motion selection and modification method through stratified sampling
Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests
Partitions for stratified sampling
Electronic health records and stratified psychiatry: bridge to precision treatment?
Robust Lavallee-Hidiroglou stratified sampling strategy
Variance estimation in stratified adaptive cluster sampling
On stratified sampling for estimating coalitional values
Estimating Gini Ratios with Varying Proportionate Stratified Sampling
The Advantage and Disadvantage of Implicitly Stratified Sampling
Federated learning based on stratified sampling and regularization
The Advantage and Disadvantage of Implicitly Stratified Sampling
A new estimator for mean under stratified random sampling
A ground motion selection and modification method through stratified sampling
Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests
Partitions for stratified sampling
Electronic health records and stratified psychiatry: bridge to precision treatment?
Robust Lavallee-Hidiroglou stratified sampling strategy
Variance estimation in stratified adaptive cluster sampling
On stratified sampling for estimating coalitional values
Estimating Gini Ratios with Varying Proportionate Stratified Sampling
The Advantage and Disadvantage of Implicitly Stratified Sampling
Federated learning based on stratified sampling and regularization
The Advantage and Disadvantage of Implicitly Stratified Sampling
A new estimator for mean under stratified random sampling
A ground motion selection and modification method through stratified sampling