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...
Forrest W Crawford,Timothy C Stutz,Kenneth Lange
Forrest W Crawford
Birth-death processes are continuous-time Markov counting processes. Approximate moments can be computed by truncating the transition rate matrix. Using a coupling argument, we derive bounds for the total variation distance between the proc...
Peter M Aronow,Forrest W Crawford
Peter M Aronow
We detail nonparametric identification results for respondent-driven sampling when sampling probabilities are assumed to be functions of network degree known to scale. We show that the conditions for consistency of the Volz-Heckathorn estim...
Joseph Rigdon,Michael G Hudgens
Joseph Rigdon
For two-stage randomized experiments assuming partial interference, exact confidence intervals are proposed for treatment effects on a binary outcome. Empirical studies demonstrate the new intervals have narrower width than previously propo...
Direct formulation to Cholesky decomposition of a general nonsingular correlation matrix [0.03%]
一般非奇异相关矩阵的Cholesky分解的直接公式
Vered Madar
Vered Madar
We present two novel and explicit parametrizations of Cholesky factor of a nonsingular correlation matrix. One that uses semi-partial correlation coefficients, and a second that utilizes differences between the successive ratios of two dete...
Ian W McKeague
Ian W McKeague
Several relativistic extensions of the Maxwell-Boltzmann distribution have been proposed, but they do not explain observed lognormal tail-behavior in the flux distribution of various astrophysical sources. Motivated by this question, extens...
Optimal restricted estimation for more efficient longitudinal causal inference [0.03%]
更有效的纵向因果推断的限制估计方法研究
Edward H Kennedy,Marshall M Joffe,Dylan S Small
Edward H Kennedy
Efficient semiparametric estimation of longitudinal causal effects is often analytically or computationally intractable. We propose a novel restricted estimation approach for increasing efficiency, which can be used with other techniques, i...
A Modified Adaptive Lasso for Identifying Interactions in the Cox Model with the Heredity Constraint [0.03%]
一种改良的自适应LASSO方法在Cox模型中用于具有遗传约束条件下的交互作用识别
Lu Wang,Jincheng Shen,Peter F Thall
Lu Wang
In many biomedical studies, identifying effects of covariate interactions on survival is a major goal. Important examples are treatment-subgroup interactions in clinical trials, and gene-gene or gene-environment interactions in genomic stud...
Michael A Proschan,Pamela A Shaw
Michael A Proschan
The Bonferroni adjustment is sometimes used to control the familywise error rate (FWE) when the number of comparisons is huge. In genome wide association studies, researchers compare cases to controls with respect to thousands of single nuc...