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On the linear in probability model for binary data

The analysis of binary response data commonly uses models linear in the logistic transform of probabilities. This paper considers some of the advantages and disadvantages of simple least-squares estimates based on a linear representation of the probabilities themselves, this in particular sometimes...

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Detalles Bibliográficos
Autores principales: Battey, H. S., Cox, D. R., Jackson, M. V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549984/
https://www.ncbi.nlm.nih.gov/pubmed/31218050
http://dx.doi.org/10.1098/rsos.190067
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author Battey, H. S.
Cox, D. R.
Jackson, M. V.
author_facet Battey, H. S.
Cox, D. R.
Jackson, M. V.
author_sort Battey, H. S.
collection PubMed
description The analysis of binary response data commonly uses models linear in the logistic transform of probabilities. This paper considers some of the advantages and disadvantages of simple least-squares estimates based on a linear representation of the probabilities themselves, this in particular sometimes allowing a more direct empirical interpretation of underlying parameters. A sociological study is used in illustration.
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spelling pubmed-65499842019-06-19 On the linear in probability model for binary data Battey, H. S. Cox, D. R. Jackson, M. V. R Soc Open Sci Mathematics The analysis of binary response data commonly uses models linear in the logistic transform of probabilities. This paper considers some of the advantages and disadvantages of simple least-squares estimates based on a linear representation of the probabilities themselves, this in particular sometimes allowing a more direct empirical interpretation of underlying parameters. A sociological study is used in illustration. The Royal Society 2019-05-01 /pmc/articles/PMC6549984/ /pubmed/31218050 http://dx.doi.org/10.1098/rsos.190067 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Battey, H. S.
Cox, D. R.
Jackson, M. V.
On the linear in probability model for binary data
title On the linear in probability model for binary data
title_full On the linear in probability model for binary data
title_fullStr On the linear in probability model for binary data
title_full_unstemmed On the linear in probability model for binary data
title_short On the linear in probability model for binary data
title_sort on the linear in probability model for binary data
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549984/
https://www.ncbi.nlm.nih.gov/pubmed/31218050
http://dx.doi.org/10.1098/rsos.190067
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