Intake_epis_food(): An R Function for Fitting a Bivariate Nonlinear Measurement Error Model to Estimate Usual and Energy Intake for Episodically Consumed Foods [0.03%]
摄入 epis_food（）：拟合非线性测量误差模型以估计通常和能量摄取的R函数，用于摄取的食物
Adriana Pérez,Saijuan Zhang,Victor Kipnis et al.
Adriana Pérez et al.
We consider a Bayesian analysis using WinBUGS to estimate the distribution of usual intake for episodically consumed foods and energy (calories). The model uses measures of nutrition and energy intakes via a food frequency questionnaire (FF...
Thomas H Scheike,Mei-Jie Zhang
Thomas H Scheike
In this paper we describe flexible competing risks regression models using the comp.risk() function available in the timereg package for R based on Scheike et al. (2008). Regression models are specified for the transition probabilities, tha...
osDesign: An R Package for the Analysis, Evaluation, and Design of Two-Phase and Case-Control Studies [0.03%]
osDesign：一个用于两阶段和病例对照研究的分析、评估和设计的R软件包
Sebastien Haneuse,Takumi Saegusa,Thomas Lumley
Sebastien Haneuse
The two-phase design has recently received attention in the statistical literature as an extension to the traditional case-control study for settings where a predictor of interest is rare or subject to missclassification. Despite a thorough...
Robert B Scharpf,Rafael A Irizarry,Matthew E Ritchie et al.
Robert B Scharpf et al.
Genotyping platforms such as Affymetrix can be used to assess genotype-phenotype as well as copy number-phenotype associations at millions of markers. While genotyping algorithms are largely concordant when assessed on HapMap samples, tools...
Recai M Yucel
Recai M Yucel
Owing to its practicality as well as strong inferential properties, multiple imputation has been increasingly popular in the analysis of incomplete data. Methods that are not only computationally elegant but also applicable in wide spectrum...
Antonio Gasparrini
Antonio Gasparrini
Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe associations showing potentially non-linear and delayed effects in time series data. This methodology rests on the definition of a crossbasis, a b...
Alejandro Jara,Timothy E Hanson,Fernando A Quintana et al.
Alejandro Jara et al.
Data analysis sometimes requires the relaxation of parametric assumptions in order to gain modeling flexibility and robustness against mis-specification of the probability model. In the Bayesian context, this is accomplished by placing a pr...
Ciprian M Crainiceanu,A Jeffrey Goldsmith
Ciprian M Crainiceanu
We provide user friendly software for Bayesian analysis of functional data models using WinBUGS 1.4. The excellent properties of Bayesian analysis in this context are due to: (1) dimensionality reduction, which leads to low dimensional proj...
SOCR Analyses: Implementation and Demonstration of a New Graphical Statistics Educational Toolkit [0.03%]
基于SO CR项目的统计教学新图形工具包及其实现与演示
Annie Chu,Jenny Cui,Ivo D Dinov
Annie Chu
The web-based, Java-written SOCR (Statistical Online Computational Resource) tools have been utilized in many undergraduate and graduate level statistics courses for seven years now (Dinov 2006; Dinov et al. 2008b). It has been proven that ...
fgui: A Method for Automatically Creating Graphical User Interfaces for Command-Line R Packages [0.03%]
FGUI：一种为命令行R包自动生成图形用户界面的方法
Thomas J Hoffmann,Nan M Laird
Thomas J Hoffmann
The fguiR package is designed for developers of R packages, to help rapidly, and sometimes fully automatically, create a graphical user interface for a command line R package. The interface is built upon the Tcl/Tk graphical interface inclu...