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"A generative, predictive model for menstrual cycle lengths that accounts ..."

Kathy Li et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2023-05-17

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2102-12439
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2102-12439
Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad:
A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data. CoRR abs/2102.12439 (2021)

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