Predicting Conversion Time from Mild Cognitive Impairment to Dementia with Interval-Censored Models

Interval-censored data should be analyzed by using the models that were developed for interval- censored data to improve the model performance.

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Publication Details

Journal
Journal of Alzheimer s Disease
Published
2024-08-08
DOI
https://doi.org/10.3233/jad-240285
Citations
10
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
3.86

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article

Predicting Conversion Time from Mild Cognitive Impairment to Dementia with Interval-Censored Models

Minggen Lu, Shangchen Song, Guogen Shan, Zhigang Li et al.
10 citations
Journal of Alzheimer s Disease
Dementia and Cognitive Impairment Research
3.86
article

Predicting Conversion Time from Mild Cognitive Impairment to Dementia with Interval-Censored Models

Minggen Lu, Shangchen Song, Guogen Shan, Zhigang Li, Yulin Li, Yahui Zhang
article en
10 citations

Abstract

Interval-censored data should be analyzed by using the models that were developed for interval- censored data to improve the model performance.

Journal of Alzheimer s DiseaseVol. 101(1)
University of Nevada, Reno (US), University of Florida (US)
National Institutes of Health
Openalex Percentile: Top 5%
Dementia and Cognitive Impairment Research
3.86
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Predicting Conversion Time from Mild Cognitive Impairment to Dementia with Interval-Censored Models — Minggen Lu, Shangchen Song, et al. · Journal of Alzheimer s Disease (2024) | TGRS Research Map | TGRS