Data · collection · 2015
A Simple and Powerful Method for the Estimation of Intervention Effects on Serological Endpoints Using Paired Interval-Censored Data
Listed in DataCite
Clinical trials often use a binary “fold increase” endpoint defined according to the ratio of interval-censored measurement at end-of-study to that at baseline.
Description
We propose a simple yet principled analytic approach based on the linear mixed-effects model for interval-censored data for the analysis of such paired measurements. Having estimated the model parameters, the risk ratio can be estimated by explicit composite estimand and the variance is estimated using the delta method.
The estimation can be implemented using the existing procedures in popular statistical software. We use antibody data from the Chloroquine for Influenza Prevention Trial for illustration.
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Where it is published
- Repository landing page tandf.figshare.com/collections/A_Simple_and_Powerful_Method_for_the_Estimation_of… ↗
landing page · from DataCite
- Repository landing page tandf.figshare.com/collections/A_Simple_and_Powerful_Method_for_the_Estimation_of… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.1957142.v1 ↗
DOI / persistent id · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.1957142 ↗
DOI / persistent id · from DataCite
Documentation and papers
Catalogue records · 4
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.c.1957142 ↗
metadata API · from DataCite
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.c.1957142.v1 ↗
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- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.1957142 ↗
catalogue entry · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.1957142.v1 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Mathematics · Mathematics
- From keywords
- Life Sciences · Life Sciences · Mathematics & Statistics · Mathematics & Statistics · Medicine & Health · Medicine & Health
- Inferred from text
- Statistics 69%
Provenance · 2 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.c.1957142 | 13 d ago | JSON v1 |
| DataCite | 10.6084/m9.figshare.c.1957142.v1 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| concepts[field].anzsrc:group:4905 | enrichment · DataCite | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| 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[field].local:field:medicine-health | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Medicine'] |
| concepts[field].local:field:medicine-health | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Medicine'] |
| 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 |