Metrics
52,307 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

2,841 to 2,850 of 2,873 Results
ComplexSyllableData.tab
Jan 28, 2021 - Replication Data for: WCSP complex trill performance and trill data
Tabular Data - 21.0 KB - 11 Variables, 418 Observations - UNF:6:s2bOIzrcdDvwPsM5vUTsOQ==
ZComplexTrillPerformance.tab
Jan 28, 2021 - Replication Data for: WCSP complex trill performance and trill data
Tabular Data - 21.6 KB - 10 Variables, 281 Observations - UNF:6:tl1GeSg0BHPooljZsDid5A==
Mild Cognitive Impairment and Obstructive Sleep Apnea (2012-2014)
Jan 28, 2021
Richards, Kathy, 2021, "Mild Cognitive Impairment and Obstructive Sleep Apnea (2012-2014)", https://doi.org/10.13021/ORC2020/9QIE8M, George Mason University Dataverse, V1
See https://clinicaltrials.gov/ct2/show/study/NCT01482351.
Likelihood ratios for the paper "EHR-based Screening for Substance and Prescription Abuse"
Likelihood ratios for the paper "EHR-based Screening for Substance and Prescription Abuse"
Jan 28, 2021
Alemi, Farrokh; Avramovic, Sanja, 2021, "Likelihood ratios for the paper "EHR-based Screening for Substance and Prescription Abuse"", https://doi.org/10.13021/ORC2020/JMILE7, George Mason University Dataverse, V1, UNF:6:u9Oaf2lxAcBTGvAXp7esfQ== [fileUNF]
Data on likelihood ratios associated with diagnoses.
Data-description.docx
Jan 28, 2021 - Likelihood ratios for the paper "EHR-based Screening for Substance and Prescription Abuse"
MS Word - 14.6 KB - MD5: aeedce9522cb1572112b86993fe5e7f5
This file describes the data.
Data-description.pdf
Data-description.pdf
Jan 28, 2021 - Likelihood ratios for the paper "EHR-based Screening for Substance and Prescription Abuse"
Adobe PDF - 215.0 KB - MD5: 3bb670856b62b5b137083ff40d7d65a6
This file describes the data.
Substance-Abuse-LR-Inpat-Both.tab
Jan 28, 2021 - Likelihood ratios for the paper "EHR-based Screening for Substance and Prescription Abuse"
Tabular Data - 5.6 MB - 8 Variables, 55537 Observations - UNF:6:u9Oaf2lxAcBTGvAXp7esfQ==
Select Download Original File Format to retrieve original Excel file with all 8 sheets. The TAB version contains only the first sheet.
Replication Data for: Determinants of Exclusive Breastfeeding in Rural Kenya, 2013
Replication Data for: Determinants of Exclusive Breastfeeding in Rural Kenya, 2013
Jan 27, 2021
Gewa, Constance A., 2021, "Replication Data for: Determinants of Exclusive Breastfeeding in Rural Kenya, 2013", https://doi.org/10.13021/ORC2020/UUFXQZ, George Mason University Dataverse, V1, UNF:6:QZF598RsYTRfffZFI4x5wA== [fileUNF]
Data from a cross-sectional survey conducted among 400 mothers of children, 0-24 months old, in rural Kenya. Data includes information on early child-feeding practices, knowledge of breastfeeding recommendations, beliefs associated with exclusive breastfeeding, socio-economic sta...
201602-Breastfeeding-Rural-Kenya-Data-Dictionary.tab
Jan 27, 2021 - Replication Data for: Determinants of Exclusive Breastfeeding in Rural Kenya, 2013
Tabular Data - 6.7 KB - 2 Variables, 81 Observations - UNF:6:WUtnIe3LeS/Jg7PbcHL0Dg==
Data dictionary
201602-Breastfeeding-Rural-Kenya-Methodology.pdf
201602-Breastfeeding-Rural-Kenya-Methodology.pdf
Jan 27, 2021 - Replication Data for: Determinants of Exclusive Breastfeeding in Rural Kenya, 2013
Adobe PDF - 116.6 KB - MD5: 3db1a403c76cb156ff15848799a29fe5
Methodology
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.