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A machine-learning approach to estimating public intentions to become a living kidney donor in England: Evidence from repeated cross-sectional survey data.
Boadu, Paul; McLaughlin, Leah; Al-Haboubi, Mustafa; Bostock, Jennifer; Noyes, Jane; O'Neill, Stephen; Mays, Nicholas.
Affiliation
  • Boadu P; Policy Innovation and Evaluation Research Unit, Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • McLaughlin L; School of Medical and Health Sciences, Bangor University, Bangor, United Kingdom.
  • Al-Haboubi M; Policy Innovation and Evaluation Research Unit, Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Bostock J; Policy Innovation and Evaluation Research Unit, Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Noyes J; School of Medical and Health Sciences, Bangor University, Bangor, United Kingdom.
  • O'Neill S; Policy Innovation and Evaluation Research Unit, Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Mays N; Policy Innovation and Evaluation Research Unit, Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Front Public Health ; 10: 1052338, 2022.
Article in En | MEDLINE | ID: mdl-36684997
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Full text: 1 Database: MEDLINE Main subject: Kidney Transplantation / Living Donors Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Humans Country/Region as subject: Europa Language: En Year: 2022 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Kidney Transplantation / Living Donors Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Humans Country/Region as subject: Europa Language: En Year: 2022 Type: Article