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221 to 230 of 1,565 Results
README.txt
Nov 1, 2024 - Replication Data for: Association between circulating inflammatory proteins and temporomandibular disorders: Insight from a two-sample Mendelian randomization analysis
Plain Text - 3.4 KB - MD5: a992c59c31ec7b8f578d9494f780b8a8
Table_S1.tab
Nov 1, 2024 - Replication Data for: Association between circulating inflammatory proteins and temporomandibular disorders: Insight from a two-sample Mendelian randomization analysis
Tabular Data - 9.0 KB - 10 Variables, 121 Observations - UNF:6:JW7aroKyxGvZ0+SC6PiefA==
The Detailed information of the 91 circulating inflammatory proteins GWAS detasets.
Table_S2.tab
Nov 1, 2024 - Replication Data for: Association between circulating inflammatory proteins and temporomandibular disorders: Insight from a two-sample Mendelian randomization analysis
Tabular Data - 3.7 KB - 11 Variables, 121 Observations - UNF:6:IrM9WIjojbbyFG6OZH/LfA==
Detailed information of TMD dataset and diagnostic criteria
Table_S3.tab
Nov 1, 2024 - Replication Data for: Association between circulating inflammatory proteins and temporomandibular disorders: Insight from a two-sample Mendelian randomization analysis
Tabular Data - 707.0 KB - 22 Variables, 2230 Observations - UNF:6:IVH0e7BQaAHd+bHDWR4/9g==
Instrumental variables used in the MR analysis
Table_S4.tab
Nov 1, 2024 - Replication Data for: Association between circulating inflammatory proteins and temporomandibular disorders: Insight from a two-sample Mendelian randomization analysis
Tabular Data - 3.0 KB - 10 Variables, 121 Observations - UNF:6:DnJZJX0qn3PoeSHWojPs3A==
The heterogeneity of circulating inflammatory proteins instrumental variables
Table_S5.tab
Nov 1, 2024 - Replication Data for: Association between circulating inflammatory proteins and temporomandibular disorders: Insight from a two-sample Mendelian randomization analysis
Tabular Data - 1.8 KB - 4 Variables, 121 Observations - UNF:6:5YiDcI3d+5skP/0788ZdgA==
Directional horizontal pleiotropy assessed by intercept term in MR Egger regression of the association between circulating inflammatory proteins and TMDs.
Data for: REBEn 2024-0217: Religión y experiencia profesional como predictores de inteligencia espiritual en el cotidiano laboral de enfermería
Oct 31, 2024 - Revista Brasileira de Enfermagem
Zegarra Chapoñán, Roberto; Zeladita-Huaman, Jhon Alex; Cuba-Sancho, Juana Matilde; Martina-Chávez,Martha Brigida; Castillo-Parra, Henry, 2024, "Data for: REBEn 2024-0217: Religión y experiencia profesional como predictores de inteligencia espiritual en el cotidiano laboral de enfermería", https://doi.org/10.48331/scielodata.AVWF9Z, SciELO Data, V1, UNF:6:BMCPGuMb4igJgFA9V8fmag== [fileUNF]
La base de datos contiene 33 variables por cada participante. En ella se encuentran datos generales como: edad, sexo, tiempo de experiencia profesional, lugar donde labora, si realiza trabajo remoto y religión. Además contiene datos específicos de la Escala de Inteligencia emocio...
BD_estudio_IE.tab
Oct 31, 2024 - Data for: REBEn 2024-0217: Religión y experiencia profesional como predictores de inteligencia espiritual en el cotidiano laboral de enfermería
Tabular Data - 38.7 KB - 33 Variables, 544 Observations - UNF:6:BMCPGuMb4igJgFA9V8fmag==
Readme.txt
Oct 31, 2024 - Data for: REBEn 2024-0217: Religión y experiencia profesional como predictores de inteligencia espiritual en el cotidiano laboral de enfermería
Plain Text - 1.6 KB - MD5: 9c7dfa4f626828e71b25564731da71c9
En este archivo se presenta los resultados de 544 participantes que fueron incluidos en el estudio; cada participante respondió un instrumento compuesto por 18 ítems (escala IE en la práctica sanitaria), además de datos generales y si profesa alguna religión.
Replication data for: Analysis of Mortality Among Patients Attended by a Mobile Emergency Service in Paraná Between 2019 and 2020
Oct 31, 2024 - SciELO Preprints
Gavioli, Aroldo; Fernanda dos Santos Bezerra Ludwig, Erika, 2024, "Replication data for: Analysis of Mortality Among Patients Attended by a Mobile Emergency Service in Paraná Between 2019 and 2020", https://doi.org/10.48331/scielodata.4RTE3C, SciELO Data, V1
Objective: To analyze the mortality of patients treated by an Emergency Mobile Care Service (SAMU) located in Paraná. Method: a cross-sectional study developed with data from care reports of 2019 and 2020; the SAMU covers 21 municipalities, regionalized into Poles A and B. The de...
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