Abstract
Devices that measure our physical, medical and mental condition have entered our daily life recently. Such devices measure our status in a continuous manner and can be useful in predicting future medical events or can guide us towards a healthier life. It is therefore important to establish that such devices record our behaviour in a reliable manner and measure what we believe they measure. In this article, we propose to measure the reliability and validity of a newly developed measuring device in time using a longitudinal model for sequential kappa statistics. We propose a Bayesian estimation procedure. The method is illustrated by a validation study of a new accelerometer in cardiopulmonary rehabilitation patients.
Original language | English |
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Article number | ARTN 1471082X211034002 |
Pages (from-to) | 127-150 |
Number of pages | 24 |
Journal | Statistical Modelling |
Volume | 23 |
Issue number | 2 |
Early online date | 3 Sept 2021 |
DOIs | |
Publication status | Published - Apr 2023 |
Keywords
- continuous recording
- Reliability
- time-event sequential data
- time series
- transient event
- WEIGHTED KAPPA
- COEFFICIENT
- RELIABILITY
- PARAMETERS