Cargando…
Predicting attrition of men with a history of violence from randomised clinical trials
Preventing dropout (attrition) from clinical trials is vital for improving study validity. Dropout is particularly important in justice-involved populations as they can be very challenging to engage and recruit in the first instance. This study identifies factors associated with dropout in a double-...
Autores principales: | Doring, Natalie, Hwang, Ye In (Jane), Akpanekpo, Emaediong, Gullotta, Mathew, Ton, Bianca, Knight, Lee, Knight, Crosbi, Schofield, Peter, Butler, Tony Gerard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657031/ https://www.ncbi.nlm.nih.gov/pubmed/37978559 http://dx.doi.org/10.1186/s13063-023-07774-3 |
Ejemplares similares
-
Reliability of prisoners’ survey responses: comparison of self-reported health and biomedical data from an australian prisoner cohort
por: Butler, Tony Gerard, et al.
Publicado: (2022) -
Self-harm and suicidality among three subgroups of male sex offenders: results from an Australian prisoner cohort
por: Gullotta, Mathew, et al.
Publicado: (2021) -
Strategies to reduce attrition in randomised trials
por: Brueton, Valerie, et al.
Publicado: (2011) -
Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study
por: Karystianis, George, et al.
Publicado: (2018) -
Correction: Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study
por: Karystianis, George, et al.
Publicado: (2019)