Pages that link to "Item:Q2893220"
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The following pages link to Latent class models for joint analysis of disease prevalence and high-dimensional semicontinuous biomarker data (Q2893220):
Displaying 7 items.
- Composite likelihood and maximum likelihood methods for joint latent class modeling of disease prevalence and high-dimensional semicontinuous biomarker data (Q736631) (← links)
- Bayesian semi-parametric joint modeling of biomarker data with a latent changepoint: assessing the temporal performance of enzyme-linked immunosorbent assay (ELISA) testing for paratuberculosis (Q1748883) (← links)
- Regularized Latent Class Model for Joint Analysis of High‐Dimensional Longitudinal Biomarkers and a Time‐to‐Event Outcome (Q5214445) (← links)
- A latent functional approach for modeling the effects of multidimensional exposures on disease risk (Q6189838) (← links)
- A weighted kernel machine regression approach to environmental pollutants and infertility (Q6625687) (← links)
- Joint modeling of longitudinal data with informative cluster size adjusted for zero-inflation and a dependent terminal event (Q6627955) (← links)
- Variable selection for discrete survival model with frailty in presence of left truncation and right censoring: studying association of environmental toxicants on time-to-pregnancy (Q6629922) (← links)
