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Multivariable logistic regression models for medicinal cann..:

José R. Galindo-Donaire (14419936) ; Gabriela Hernández-Molina (11105448) ; Ana Fresán Orellana (14419939)...
https://figshare.com/articles/dataset/Multivariable_logistic_regression_models_for_medicinal_cannabis_use_on_rheumatoid_arthritis_patients_/21891964. , 2023

Link: https://doi.org/10.1371/journal.pone.0280219.t003

RT Journal
T1 <Title>Multivariable logistic regression models for medicinal cannabis use on rheumatoid arthritis patients</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21891964&Exemplar=1&LAN=DE
				
A1 José R. Galindo-Donaire (14419936)
A1 Gabriela Hernández-Molina (11105448)
A1 Ana Fresán Orellana (14419939)
A1 Irazú Contreras-Yáñez (3149580)
A1 Guillermo Guaracha-Basáñez (10047381)
A1 Oswaldo Briseño-González (14419942)
A1 Virginia Pascual-Ramos (3149583)
YR 2023
K1 Medicine
K1 Cell Biology
K1 Molecular Biology
K1 Biotechnology
K1 Immunology
K1 Cancer
K1 Science Policy
K1 standardized evaluations using
K1 highest overall score
K1 related disease activity
K1 higher disease activity
K1 collect sociodemographic information
K1 rheumatoid arthritis patients
K1 47 ± 0
K1 11 – 7
K1 04 – 10
K1 01 – 1
K1 recreational substance use
K1 five personality traits
K1 consecutive ra outpatients
K1 higher openness trait
K1 recreational use
K1 ra outpatients
K1 personality traits
K1 experience trait
K1 related quality
K1 related outcomes
K1 information available
K1 available information
K1 ra patients
K1 180 patients
K1 xlink ">
K1 tobacco use
K1 potential association
K1 personality influenced
K1 pain relief
K1 multivariable regression
K1 mean age
K1 june 2020
K1 independently associated
K1 include personality
K1 comparative analysis
K1 august 2021
K1 associating dynamically
K1 anxiety symptoms
K1 9 %)
K1 34 )
K1 12 months
K1 007 )
JF https://figshare.com/articles/dataset/Multivariable_logistic_regression_models_for_medicinal_cannabis_use_on_rheumatoid_arthritis_patients_/21891964
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0280219.t003
DO https://doi.org/10.1371/journal.pone.0280219.t003
SF ELIB - SuUB Bremen

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