Kwang Woo Ahn,Natasha Sahr,Soyoung Kim
Kwang Woo Ahn
We propose a method to screen group variables under the high dimensional group variable setting for the proportional hazards model. We study the sure screening property of the proposed method for independent and clustered survival data. The...
A practical guide to big data [0.03%]
大数据实践指南
Ekaterina Smirnova,Andrada Ivanescu,Jiawei Bai et al.
Ekaterina Smirnova et al.
Big Data is increasingly prevalent in science and data analysis. We provide a short tutorial for adapting to these changes and making the necessary adjustments to the academic culture to keep Biostatistics truly impactful in scientific rese...
D R Cox,Christiana Kartsonaki,Ruth H Keogh
D R Cox
A broad review is given of the impact of big data on various aspects of investigation. There is some but not total emphasis on issues in epidemiological research. ...
A New Variance Component Score Test for Testing Distributed Lag Functions with Applications in Time Series Analysis [0.03%]
一种新的方差成分评分检验在分布式滞后函数中的应用及时间序列分析中的应用
Yin-Hsiu Chen,Bhramar Mukherjee
Yin-Hsiu Chen
We propose to test a given constrained distributed lag model (DLM) of the form β = Cθ against an unconstrained alternative using a variance component score test (VCST) and show that VCST is more powerful than the standard likelihood ratio...
Eric Tchetgen,Lingling Li,James Robins et al.
Eric Tchetgen et al.
We construct an estimator of ∫fp (z) dz, based on a random sample of size n from a density f on the unit cube in ℝ d . This estimator achieves the minimax rate for f known to belong to a multiple of the unit ball in a Hölder space of ord...
Focused Information Criterion and Model Averaging with Generalized Rank Regression [0.03%]
基于广义秩回归的聚焦信息准则与模型平均方法
Qingzhao Zhang,Xiaogang Duan,Shuangge Ma
Qingzhao Zhang
Generalized rank regression, which is a class of weighted rank regression with weights based on factor space, provides a powerful tool for conducting robust estimation. In this article, we first establish the asymptotic properties of genera...
Grzegorz A Rempała,Jacek Wesołowski
Grzegorz A Rempała
Consider distributional limit of the Pearson chi-square statistic when the number of classes mn increases with the sample size n and [Formula: see text]. Under mild moment conditions, the limit is Gaussian for λ = ∞, Poisson for finite λ...
Daniel J Eck,Ian W McKeague
Daniel J Eck
Additive deformations of statistical systems arise in various areas of physics. Classical central limit theory is then no longer applicable, even when standard independence assumptions are preserved. This paper investigates ways in which de...
Nonparametric restricted mean analysis across multiple follow-up intervals [0.03%]
多重随访间隔下的半参数限制均值分析方法研究
Nabihah Tayob,Susan Murray
Nabihah Tayob
We provide a nonparametric estimate of τ-restricted mean survival using follow-up information beyond τwhen appropriate to improve precision. The variance accounts for correlation between follow-up windows. Both asymptotic calculations and...
Robert Mnatsakanov,Khachatur Sarkisian
Robert Mnatsakanov
In this article a new nonparametric density estimator based on the sequence of asymmetric kernels is proposed. This method is natural when estimating an unknown density function of a positive random variable. The rates of Mean Squared Error...