Broken Stick Model for Irregular Longitudinal Data
Many longitudinal studies collect data that have irregular observation times, often requiring the application of linear mixed models with time-varying outcomes. This paper presents an alternative that splits the quantitative analysis into two steps. The first step converts irregularly observed data...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2023-03-01
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| Series: | Journal of Statistical Software |
| Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/4594 |
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