Literature DB >> 33437509

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

Alex Simpson1, Sophie Graham2, Cormac Sammon3, Thomas P Leahy3, Sreeram V Ramagopalan4.   

Abstract

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.
© 2020 Alex Simpson, Sophie Graham, Cormac Sammon et al.

Entities:  

Keywords:  DO-BITS; Love Island; prediction; television; winning

Year:  2020        PMID: 33437509      PMCID: PMC7787114          DOI: 10.2144/fsoa-2020-0168

Source DB:  PubMed          Journal:  Future Sci OA        ISSN: 2056-5623


  2 in total

1.  Population exposure to smoking and tobacco branding in the UK reality show 'Love Island'.

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2.  How to develop a more accurate risk prediction model when there are few events.

Authors:  Menelaos Pavlou; Gareth Ambler; Shaun R Seaman; Oliver Guttmann; Perry Elliott; Michael King; Rumana Z Omar
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  2 in total

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