r37980778c78--14d57bbf3bff467084efb860eed94a74

Logistic regression analysis of the ability of each variable to predict the risk of severe COVID-19.

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.1371/journal.pone.0233328.t002
URL http://dx.doi.org/10.1371/journal.pone.0233328.t002
URL https://figshare.com/articles/Logistic_regression_analysis_of_the_ability_of_each_variable_to_predict_the_risk_of_severe_COVID-19_/12322166
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right Open Access
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From figshare
Hosted By figshare
Publication Date 2020-05-18
Additional Info
Field Value
Language UNKNOWN
Resource Type Dataset
system:type dataset
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=r37980778c78::14d57bbf3bff467084efb860eed94a74
Author jsonws_user
Last Updated 15 December 2020, 18:39 (CET)
Created 15 December 2020, 18:39 (CET)