Ramon I Garcia,Joseph G Ibrahim,Hongtu Zhu
Ramon I Garcia
We consider the variable selection problem for a class of statistical models with missing data, including missing covariate and/or response data. We investigate the smoothly clipped absolute deviation penalty (SCAD) and adaptive LASSO and p...
GENERALIZED LEAST SQUARES ESTIMATION OF THE MEAN FUNCTION OF A COUNTING PROCESS BASED ON PANEL COUNTS [0.03%]
基于面板计数的计数过程均值函数的广义最小二乘估计
X Joan Hu,Stephen W Lagakos,Richard A Lockhart
X Joan Hu
This paper considers nonparametric estimation of the mean function of a counting process based on periodic observations, i.e., panel counts. We present estimators derived through minimizing a class of generalized sums of squares subject to ...
Dorota M Dabrowska
Dorota M Dabrowska
We discuss estimation in a two-stage modulated renewal process designed for analysis of paired data on a single individual. We consider a model with proportional hazard intensities. U-process methods are used to show consistency and asympto...
Yi Li,Haicheng Tang,Xihong Lin
Yi Li
Spatial data with covariate measurement errors have been commonly observed in public health studies. Existing work mainly concentrates on parameter estimation using Gibbs sampling, and no work has been conducted to understand and quantify t...
Correcting Instrumental Variables Estimators for Systematic Measurement Error [0.03%]
矫正工具变量估计值以消除系统性测量误差的影响
Stijn Vansteelandt,Manoochehr Babanezhad,Els Goetghebeur
Stijn Vansteelandt
Instrumental variables (IV) estimators are well established to correct for measurement error on exposure in a broad range of fields. In a distinct prominent stream of research IV's are becoming increasingly popular for estimating causal eff...
SEMIPARAMETRIC TRANSFORMATION MODELS WITH RANDOM EFFECTS FOR CLUSTERED FAILURE TIME DATA [0.03%]
带随机效应的聚类生存时间数据的半参数变换模型
Donglin Zeng,D Y Lin,Xihong Lin
Donglin Zeng
We propose a general class of semiparametric transformation models with random effects to formulate the effects of possibly time-dependent covariates on clustered or correlated failure times. This class encompasses all commonly used transfo...
Hyune-Ju Kim,Binbing Yu,Eric J Feuer
Hyune-Ju Kim
Segmented line regression has been used in many applications, and the problem of estimating the number of change-points in segmented line regression has been discussed in Kim et al. (2000). This paper studies asymptotic properties of the nu...
A FUNCTIONAL MULTIPLICATIVE EFFECTS MODEL FOR LONGITUDINAL DATA, WITH APPLICATION TO REPRODUCTIVE HISTORIES OF FEMALE MEDFLIES [0.03%]
适用于纵向数据的功能乘法效应模型及其在雌性果蝇生殖史研究中的应用
Jeng-Min Chiou,Hans-Georg Müller,Jane-Ling Wang et al.
Jeng-Min Chiou et al.
We investigate the fitting of response curves in the presence of a continuous covariate. A model is presented in which the expected random response curves, viewed as functions of time and conditional on the covariate, are products of a smoo...
SOME STEP-DOWN PROCEDURES CONTROLLING THE FALSE DISCOVERY RATE UNDER DEPENDENCE [0.03%]
一种控制依赖性假设检验中假阳率的逐步程序
Yongchao Ge,Stuart C Sealfon,Terence P Speed
Yongchao Ge
Benjamini and Hochberg (1995) proposed the false discovery rate (FDR) as an alternative to the familywise error rate (FWER) in multiple testing problems. Since then, researchers have been increasingly interested in developing methodologies ...