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Derivation of DO-BITS, a score for predicting success on Love Island: a retrospective, observational cohort study

OBJECTIVE: To derive a score for finishing in the top three positions of the television show, Love Island, UK. DESIGN: A retrospective study was undertaken using data from all previous contestants. RESULTS: A score predicting show success termed DO-BITS (different coupling approaches [islanders purs...

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Autores principales: Simpson, Alex, Graham, Sophie, Sammon, Cormac, Leahy, Thomas P, Ramagopalan, Sreeram V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787114/
https://www.ncbi.nlm.nih.gov/pubmed/33437509
http://dx.doi.org/10.2144/fsoa-2020-0168
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author Simpson, Alex
Graham, Sophie
Sammon, Cormac
Leahy, Thomas P
Ramagopalan, Sreeram V
author_facet Simpson, Alex
Graham, Sophie
Sammon, Cormac
Leahy, Thomas P
Ramagopalan, Sreeram V
author_sort Simpson, Alex
collection PubMed
description OBJECTIVE: To derive a score for finishing in the top three positions of the television show, Love Island, UK. DESIGN: A retrospective study was undertaken using data from all previous contestants. RESULTS: A score predicting show success termed DO-BITS (different coupling approaches [islanders pursuing one or many people on the show], Original islander [being on the show from the start], [being] Brunette, [having] intimate relationships on screen, Tradesman [occupation before being on the show] and Short name [having a four-letter first name]) was developed. The accuracy of this score in this derivation cohort yielded a C-statistic of 0.85. CONCLUSION: This simple, novel score provides a practical tool to assess the likelihood of success on Love Island.
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spelling pubmed-77871142021-01-11 Derivation of DO-BITS, a score for predicting success on Love Island: a retrospective, observational cohort study Simpson, Alex Graham, Sophie Sammon, Cormac Leahy, Thomas P Ramagopalan, Sreeram V Future Sci OA Short Communication OBJECTIVE: To derive a score for finishing in the top three positions of the television show, Love Island, UK. DESIGN: A retrospective study was undertaken using data from all previous contestants. RESULTS: A score predicting show success termed DO-BITS (different coupling approaches [islanders pursuing one or many people on the show], Original islander [being on the show from the start], [being] Brunette, [having] intimate relationships on screen, Tradesman [occupation before being on the show] and Short name [having a four-letter first name]) was developed. The accuracy of this score in this derivation cohort yielded a C-statistic of 0.85. CONCLUSION: This simple, novel score provides a practical tool to assess the likelihood of success on Love Island. Future Science Ltd 2020-11-13 /pmc/articles/PMC7787114/ /pubmed/33437509 http://dx.doi.org/10.2144/fsoa-2020-0168 Text en © 2020 Alex Simpson, Sophie Graham, Cormac Sammon et al. This work is licensed under the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/)
spellingShingle Short Communication
Simpson, Alex
Graham, Sophie
Sammon, Cormac
Leahy, Thomas P
Ramagopalan, Sreeram V
Derivation of DO-BITS, a score for predicting success on Love Island: a retrospective, observational cohort study
title Derivation of DO-BITS, a score for predicting success on Love Island: a retrospective, observational cohort study
title_full Derivation of DO-BITS, a score for predicting success on Love Island: a retrospective, observational cohort study
title_fullStr Derivation of DO-BITS, a score for predicting success on Love Island: a retrospective, observational cohort study
title_full_unstemmed Derivation of DO-BITS, a score for predicting success on Love Island: a retrospective, observational cohort study
title_short Derivation of DO-BITS, a score for predicting success on Love Island: a retrospective, observational cohort study
title_sort derivation of do-bits, a score for predicting success on love island: a retrospective, observational cohort study
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787114/
https://www.ncbi.nlm.nih.gov/pubmed/33437509
http://dx.doi.org/10.2144/fsoa-2020-0168
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