Holly Janes,Francesca Dominici,Scott Zeger
Holly Janes
When estimating the association between an exposure and outcome, a simple approach to quantifying the amount of confounding by a factor, Z, is to compare estimates of the exposure-outcome association with and without adjustment for Z. This ...
Dynamic calibration of pharmacokinetic parameters in dose-finding studies [0.03%]
剂量寻找研究中的药代动力学参数动态校准方法研究
John O&#x;Quigley,Michael D Hughes,Terry Fenton et al.
John O&#x;Quigley et al.
We introduce a dose-finding algorithm to be used to identify a level of dose that corresponds to some given targeted response. Our motivation arises from problems where the response is a continuously measured quantity, typically some pharma...
Natalie J Blades,Scott D Grimshaw,Carly R Pendleton
Natalie J Blades
The biological complexity of gene expression makes simulation of gene expression data difficult. We propose a spike-in simulation that adds a single simulated gene to the data set of interest. Features of this spike-in gene may be manipulat...
Statistical inference on the penetrances of rare genetic mutations based on a case-family design [0.03%]
基于家系设计的罕见遗传突变渗入率的统计推断
Hong Zhang,Sylviane Olschwang,Kai Yu
Hong Zhang
We propose a formal statistical inference framework for the evaluation of the penetrance of a rare genetic mutation using family data generated under a kin-cohort type of design, where phenotype and genotype information from first-degree re...
Transparency and reproducibility in data analysis: the Prostate Cancer Prevention Trial [0.03%]
数据分析的透明度与可重复性：基于前列腺癌预防试验的事后研究分析案例
Stuart G Baker,Amy K Darke,Paul Pinsky et al.
Stuart G Baker et al.
With the analysis of complex, messy data sets, the statistics community has recently focused attention on "reproducible research," namely research that can be readily replicated by others. One standard that has been proposed is the availabi...
Joint modeling of intercourse behavior and human fecundability using structural equation models [0.03%]
应用结构方程模型联合分析性行为和人类生育能力
Sungduk Kim,Rajeshwari Sundaram,Germaine M Buck Louis
Sungduk Kim
Human fecundability is defined as the probability of conception during a menstrual cycle among couples at risk for pregnancy. It is highly relevant for understanding human reproduction and represents a series of highly interrelated and time...
Wavelet-based functional linear mixed models: an application to measurement error-corrected distributed lag models [0.03%]
基于小波的函数线性混合模型及其在分布滞后模型中的应用
Elizabeth J Malloy,Jeffrey S Morris,Sara D Adar et al.
Elizabeth J Malloy et al.
Frequently, exposure data are measured over time on a grid of discrete values that collectively define a functional observation. In many applications, researchers are interested in using these measurements as covariates to predict a scalar ...
A doubly robust test for gene-environment interaction in family-based studies of affected offspring [0.03%]
家系设计的受累后代关联研究中考虑基因-环境交互作用的双稳健检验方法研究
Beatrijs Moerkerke,Stijn Vansteelandt,Christoph Lange
Beatrijs Moerkerke
We develop a locally efficient test for (multiplicative) gene-environment interaction in family studies that collect genotypic information and environmental exposures for affected offspring along with genotypic information for their parents...
Björn Bornkamp,Katja Ickstadt,David Dunson
Björn Bornkamp
In various application areas, prior information is available about the direction of the effects of multiple predictors on the conditional response distribution. For example, in epidemiology studies of potentially adverse exposures and conti...
Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions [0.03%]
单变量和多变量倾斜正态分布及倾斜t分布的有限混合模型的贝叶斯推断
Sylvia Frühwirth-Schnatter,Saumyadipta Pyne
Sylvia Frühwirth-Schnatter
Skew-normal and skew-t distributions have proved to be useful for capturing skewness and kurtosis in data directly without transformation. Recently, finite mixtures of such distributions have been considered as a more general tool for handl...