Feature screening for ultrahigh-dimensional survival data when failure indicators are missing at random
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DOI: 10.1007/s00362-019-01128-5
Abstract: In modern statistical applications, the dimension of covariates can be much larger than the sample size, and extensive research has been done on screening methods which can effectively reduce the dimensionality. However, the existing feature… read more here.
Keywords: missing random; feature screening; failure indicators; indicators missing ... See more keywords
Model selection based on KL divergence with censoring indicators missing at random
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DOI: 10.1080/02331888.2025.2456808
Abstract: In this paper, we focus on model selection problem for conditional density function when response variables are right-censored with censoring indicators missing at random. We propose three model selection criteria based on the Kullback–Leibler divergence… read more here.
Keywords: indicators missing; model selection; missing random; censoring indicators ... See more keywords
Diabetes or hypertension as risk indicators for missing teeth experience: An exploratory study in a sample of Mexican adults
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DOI: 10.4103/njcp.njcp_52_17
Abstract: Background: To determine an exploratory estimation of the strength of type 2 diabetes mellitus (T2DM) and hypertension diagnoses as risk indicators for missing teeth in a sample of Mexican adults. Materials and Methods: A comparative… read more here.
Keywords: sample mexican; missing teeth; indicators missing; hypertension ... See more keywords