Application of Random Coefficient Regression Model to Myopia Data: A Case Study
Abstract A one‐year birth cohort from Northern Finland has been followed up since 1966. As a part of this study, we are in this paper concerned with analysing the progression of myopia (nearsightness) up to the age of 20 years. The random coefficient regression model was chosen for the analysis beca...
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crwiley:10.1002/bimj.4710370603 2024-06-02T08:12:00+00:00 Application of Random Coefficient Regression Model to Myopia Data: A Case Study Möttonen, Jyrki Oja, Hannu Krause, Ulf Rantakallio, Paula 1995 http://dx.doi.org/10.1002/bimj.4710370603 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fbimj.4710370603 https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.4710370603 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Biometrical Journal volume 37, issue 6, page 657-672 ISSN 0323-3847 1521-4036 journal-article 1995 crwiley https://doi.org/10.1002/bimj.4710370603 2024-05-03T10:36:28Z Abstract A one‐year birth cohort from Northern Finland has been followed up since 1966. As a part of this study, we are in this paper concerned with analysing the progression of myopia (nearsightness) up to the age of 20 years. The random coefficient regression model was chosen for the analysis because of the large individual variation in the development of myopia. Maximum likelihood estimates for the parameters in the model were obtained via the expectation maximization (EM) algorithm. It is shown how the estimated model can be used to predict future observations for an individual using the previously recorded refractive error measurements as well as other relevant data on the patient in question. Article in Journal/Newspaper Northern Finland Wiley Online Library Biometrical Journal 37 6 657 672 |
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English |
description |
Abstract A one‐year birth cohort from Northern Finland has been followed up since 1966. As a part of this study, we are in this paper concerned with analysing the progression of myopia (nearsightness) up to the age of 20 years. The random coefficient regression model was chosen for the analysis because of the large individual variation in the development of myopia. Maximum likelihood estimates for the parameters in the model were obtained via the expectation maximization (EM) algorithm. It is shown how the estimated model can be used to predict future observations for an individual using the previously recorded refractive error measurements as well as other relevant data on the patient in question. |
format |
Article in Journal/Newspaper |
author |
Möttonen, Jyrki Oja, Hannu Krause, Ulf Rantakallio, Paula |
spellingShingle |
Möttonen, Jyrki Oja, Hannu Krause, Ulf Rantakallio, Paula Application of Random Coefficient Regression Model to Myopia Data: A Case Study |
author_facet |
Möttonen, Jyrki Oja, Hannu Krause, Ulf Rantakallio, Paula |
author_sort |
Möttonen, Jyrki |
title |
Application of Random Coefficient Regression Model to Myopia Data: A Case Study |
title_short |
Application of Random Coefficient Regression Model to Myopia Data: A Case Study |
title_full |
Application of Random Coefficient Regression Model to Myopia Data: A Case Study |
title_fullStr |
Application of Random Coefficient Regression Model to Myopia Data: A Case Study |
title_full_unstemmed |
Application of Random Coefficient Regression Model to Myopia Data: A Case Study |
title_sort |
application of random coefficient regression model to myopia data: a case study |
publisher |
Wiley |
publishDate |
1995 |
url |
http://dx.doi.org/10.1002/bimj.4710370603 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fbimj.4710370603 https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.4710370603 |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_source |
Biometrical Journal volume 37, issue 6, page 657-672 ISSN 0323-3847 1521-4036 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/bimj.4710370603 |
container_title |
Biometrical Journal |
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37 |
container_issue |
6 |
container_start_page |
657 |
op_container_end_page |
672 |
_version_ |
1800758318545764352 |