论文部分内容阅读
We propose a new mixed model for longitudinal discrete interval data,the proportional likelihood ratio mixed model.
PROPORTIONAL LIKELIHOOD RATIO MIXED MODEL FOR LONGITUDINAL DISCRETE INTERVAL DATA
【摘 要】
：
We propose a new mixed model for longitudinal discrete interval data,the proportional likelihood ratio mixed model.
【机 构】
：
Department of Biostatistics,University of Iowa,52241,USA
【出 处】
：
上海交通大学
【发表日期】
：
2016年4期
其他文献
This talk considers an improvement of variational mode decomposition(VMD)in the presence of missing values.VMD developed by Dragomiretskiy and Zosso(2014)efficiently decomposes a signal into some mean
We propose a cox model with latent variables to investigate the observed and latent risk factors of the failure time of interest.Each latent risk factor is characterized by correlated observed variabl
Modern biological techniques have led to a variety of types of data,which are often used to identify important biomarkers for certain diseases based on appropriate statistical methods,such as feature
Two-Level Minimum Aberration Designs Under a Conditional Model with a Pair of Conditional and Condit
Two-level factorial designs are considered under a conditional model with a pair of conditional and conditioning factors.Such a pair can arise in many practical situations.With properly defined main e
A commonly used assumption in spatial analysis is that the spatial process is isotropic,implying that only the distance,but not the orientation matters in the specification of the spatial structure.Ho
Sample surveys are widely used to obtain information about totals,means,medians,and other parameters of finite populations.In many applications,similar information is desired for subpopulations such a
Constrained Nonlinear and Mixed Effects Differential Equation Models for Dynamic Cell Polarity Signa
The key of tip growth in eukaryotes is the polarized distribution on plasma membrane of a particle named ROP1.This distribution is the result of a positive feedback loop,whose mechanism can be describ
Factor modeling is an essential tool for exploring intrinsic dependence structures among high-dimensional random variables.
AN INTEGRATED ANALYSIS TOOL FOR ANALYZING HYBRIDIZATION INTENSITIES AND GENOTYPES USING NEW-GENERATI
[Background] Affymetrix Axiom single nucleotide polymorphism(SNP)arrays provide a cost-effective,high-density,and high-throughput genotyping solution for population-optimized analyses.
We present a novel method for estimation of the fiber orientation distribution(FOD)function based on diffusion-weighted Magnetic Resonance Imaging(D-MRI)data.