Naturalistic sleep tracking in a longitudinal cohort: Uncertainty and bias in short duration sampling

The simulation and empiric data approaches both suggest that bias and uncertainty due to sub-sampling depend on: a) the sample size of observations within each participant, b) the descriptive statistic used to capture centrality or dispersion, and c) the distribution shape of the data (normal or skewed). Longer duration tracking provides important and tangible benefits to reduce bias and uncertainty in sleep health research that historically relies on small observation windows.

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Publication Details

Journal
PLoS ONE
Published
2025-11-03
DOI
https://doi.org/10.1371/journal.pone.0334950
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00

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article

Naturalistic sleep tracking in a longitudinal cohort: Uncertainty and bias in short duration sampling

M Bianchi, Balaji Goparaju, Giovanni Domenico De Palma
PLoS ONE
Sleep and related disorders
article

Naturalistic sleep tracking in a longitudinal cohort: Uncertainty and bias in short duration sampling

M Bianchi, Balaji Goparaju, Giovanni Domenico De Palma
article en

Abstract

The simulation and empiric data approaches both suggest that bias and uncertainty due to sub-sampling depend on: a) the sample size of observations within each participant, b) the descriptive statistic used to capture centrality or dispersion, and c) the distribution shape of the data (normal or skewed). Longer duration tracking provides important and tangible benefits to reduce bias and uncertainty in sleep health research that historically relies on small observation windows.

PLoS ONEVol. 20(11)
Apple (United States) (US)
American Heart Association
Openalex Percentile: Top 66%
Sleep and related disorders
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