Data · collection · 2015
A Multiple Imputation Method for Incomplete Correlated Ordinal Data Using Multivariate Probit Models
Listed in DataCite
The multiple imputation technique has proven to be a useful tool in missing data analysis.
Description
We propose a Markov chain Monte Carlo (MCMC) method to conduct multiple imputation for incomplete correlated ordinal data using the multivariate probit model. We conduct a thorough simulation study to compare the performance of our proposed method with two available imputation methods - multivariate normal based and chain equation methods for various missing data scenarios.
For illustration, we present an application using the data from the smoking cessation treatment study for low income community corrections smokers.
Links
Where it is published
- Repository landing page tandf.figshare.com/collections/A_Multiple_Imputation_Method_for_Incomplete_Correl… ↗
landing page · from DataCite
- Repository landing page tandf.figshare.com/collections/A_Multiple_Imputation_Method_for_Incomplete_Correl… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.2077229 ↗
DOI / persistent id · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.2077229.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
Catalogue records · 4
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.c.2077229.v1 ↗
metadata API · from DataCite
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.c.2077229 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.2077229.v1 ↗
catalogue entry · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.2077229 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Clinical medicine · Clinical medicine · Mathematics · Mathematics
- From keywords
- Life Sciences · Life Sciences · Mathematics & Statistics · Mathematics & Statistics
- Inferred from text
- Simulation 75%
Provenance · 2 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.c.2077229 | 12 d ago | JSON v1 |
| DataCite | 10.6084/m9.figshare.c.2077229.v1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| concepts[field].fos:clinical-medicine | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:clinical-medicine | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:mathematics | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:mathematics | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Biological Sciences'] |
| concepts[field].local:field:life-sciences | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Biological Sciences'] |
| concepts[field].local:field:mathematics-statistics | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Mathematics'] |
| concepts[field].local:field:mathematics-statistics | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Mathematics'] |
| concepts[method].local:method:simulation | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| updated_date | source · DataCite | connector:datacite@1.0.0 |