Michael J Wurm,Paul J Rathouz,Bret M Hanlon
Michael J Wurm
Regularization techniques such as the lasso (Tibshirani 1996) and elastic net (Zou and Hastie 2005) can be used to improve regression model coefficient estimation and prediction accuracy, as well as to perform variable selection. Ordinal re...
FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs [0.03%]
FamEvent：一个用于生成和建模家族设计中生存数据的R包
Yun-Hee Choi,Laurent Briollais,Wenqing He et al.
Yun-Hee Choi et al.
FamEvent is a comprehensive R package for simulating and modelling age-at-disease onset in families carrying a rare gene mutation. The package can simulate complex family data for variable time-to-event outcomes under three common family st...
LocalControl: An R Package for Comparative Safety and Effectiveness Research [0.03%]
LocalControl：一个用于比较安全性和有效性研究的R软件包
Nicolas R Lauve,Stuart J Nelson,S Stanley Young et al.
Nicolas R Lauve et al.
The LocalControl R package implements novel approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes. While designed and appropriate for use in comparative safety and effective...
SeqNet: An R Package for Generating Gene-Gene Networks and Simulating RNA-Seq Data [0.03%]
SeqNet：一个生成基因网络和模拟RNA序列数据的R包
Tyler Grimes,Somnath Datta
Tyler Grimes
Gene expression data provide an abundant resource for inferring connections in gene regulatory networks. While methodologies developed for this task have shown success, a challenge remains in comparing the performance among methods. Gold-st...
Bradley C Saul,Michael G Hudgens
Bradley C Saul
M-estimation, or estimating equation, methods are widely applicable for point estimation and asymptotic inference. In this paper, we present an R package that can find roots and compute the empirical sandwich variance estimator for any set ...
idem: An R Package for Inferences in Clinical Trials with Death and Missingness [0.03%]
idem包：用于死亡和丢失数据临床试验的统计推断
Chenguang Wang,Elizabeth Colantuoni,Andrew Leroux et al.
Chenguang Wang et al.
In randomized controlled trials of seriously ill patients, death is common and often defined as the primary endpoint. Increasingly, non-mortality outcomes such as functional outcomes are co-primary or secondary endpoints. Functional outcome...
MultiBUGS: A Parallel Implementation of the BUGS Modelling Framework for Faster Bayesian Inference [0.03%]
MultiBUGS：BUGS建模框架的并行实现以加速贝叶斯推断过程
Robert J B Goudie,Rebecca M Turner,Daniela De Angelis et al.
Robert J B Goudie et al.
MultiBUGS is a new version of the general-purpose Bayesian modelling software BUGS that implements a generic algorithm for parallelising Markov chain Monte Carlo (MCMC) algorithms to speed up posterior inference of Bayesian models. The algo...
CLME: An R Package for Linear Mixed Effects Models under Inequality Constraints [0.03%]
基于不等式约束的线性混合效应模型R软件包CLME
Casey M Jelsema,Shyamal D Peddada
Casey M Jelsema
In many applications researchers are typically interested in testing for inequality constraints in the context of linear fixed effects and mixed effects models. Although there exists a large body of literature for performing statistical inf...
Cai Li,Hua Zhou
Cai Li
Many statistical learning methods such as matrix completion, matrix regression, and multiple response regression estimate a matrix of parameters. The nuclear norm regularization is frequently employed to achieve shrinkage and low rank solut...
Michael C Sachs
Michael C Sachs
Plots of the receiver operating characteristic (ROC) curve are ubiquitous in medical research. Designed to simultaneously display the operating characteristics at every possible value of a continuous diagnostic test, ROC curves are used in ...