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

221 to 230 of 233 Results
Rickets_re_admissions.do
May 22, 2019 - Replication Data for: The impact of rickets on growth and morbidity during recovery among children with complicated severe acute malnutrition in Kenya: A cohort study
Stata Syntax - 2.4 KB - MD5: dd330463c71d2ea254983e6bf9ce82e9
Code
This script was used to create Table 3 (All hospital readmissions) and Figure 1b (Software: STATA Version 13.1)
Rickets_severe_pneumonia.do
May 22, 2019 - Replication Data for: The impact of rickets on growth and morbidity during recovery among children with complicated severe acute malnutrition in Kenya: A cohort study
Stata Syntax - 2.4 KB - MD5: d8c4265e6c149131564a13a6281a01c7
Code
This script was used to create Table 3 (severe pneumonia) and Figure 1c (Software: STATA Version 13.1)
Rickets_survival.do
May 22, 2019 - Replication Data for: The impact of rickets on growth and morbidity during recovery among children with complicated severe acute malnutrition in Kenya: A cohort study
Stata Syntax - 2.2 KB - MD5: 054422ae364abd5e7f5743dca5672640
Code
This script was used to create Table 3 (Mortality) and Figure 1a (Kaplan-Meier curves for mortality) (Software: STATA Version 13.1)
Sev_pneumonia_events.tab
May 22, 2019 - Replication Data for: The impact of rickets on growth and morbidity during recovery among children with complicated severe acute malnutrition in Kenya: A cohort study
Tabular Data - 14.8 KB - 5 Variables, 700 Observations - UNF:6:QLUX2T5DkPu/bGb6+ovz5w==
Data
This file contains all hospital re-admission during follow-up for Severe pneumonia only. (STATA Version 13.1)
F75_Baseline_data.tab
Jan 17, 2019 - Modified F75 formula for stabilisation among hospitalised children with severe acute malnutrition: double blind, randomised controlled trial
Tabular Data - 164.6 KB - 38 Variables, 843 Observations - UNF:6:qDYyxSvXkPdzxCby9/rY2Q==
Data
This file contains baseline data including randomisation arm
F75_Biochemistry.tab
Jan 17, 2019 - Modified F75 formula for stabilisation among hospitalised children with severe acute malnutrition: double blind, randomised controlled trial
Tabular Data - 96.1 KB - 47 Variables, 856 Observations - UNF:6:tGqr311Qn1yLIjegi2PRQQ==
Data
This file contains biochemistry test results
F75_Daily_record.tab
Jan 17, 2019 - Modified F75 formula for stabilisation among hospitalised children with severe acute malnutrition: double blind, randomised controlled trial
Tabular Data - 1.7 MB - 1695 Variables, 841 Observations - UNF:6:4VLpMmtT4RicKSR4/sbUcA==
Data
This file contains daily obseravtions data for the days the participants were hospitalised
F75_follow_up.tab
Jan 17, 2019 - Modified F75 formula for stabilisation among hospitalised children with severe acute malnutrition: double blind, randomised controlled trial
Tabular Data - 87.9 KB - 22 Variables, 843 Observations - UNF:6:HjJ9FNCZBIjREyIgQLCDXQ==
Data
This file contains all follow-up data (at day 3, date of stabilisation and dsicharge from hospital)
F75_SAEs.tab
Jan 17, 2019 - Modified F75 formula for stabilisation among hospitalised children with severe acute malnutrition: double blind, randomised controlled trial
Tabular Data - 65.1 KB - 26 Variables, 204 Observations - UNF:6:Tu92tz71QOZHBMrksP3bJg==
Data
This file contains all serious adevrse events like deaths (causes of deaths)
Modified_F75_data_Codebook.pdf
Modified_F75_data_Codebook.pdf
Jan 17, 2019 - Modified F75 formula for stabilisation among hospitalised children with severe acute malnutrition: double blind, randomised controlled trial
Adobe PDF - 155.7 KB - MD5: 6aa3bfe624a76e3ff9cedcc4c0235fb4
Documentation
This file contains variable description, value labels and variable formats for all data files
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up 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.