Power and Sample Size for Longitudinal Models in R - The longpower Package and Shiny App [0.03%]
R中的纵向模型的 power 和样本数量- longpower软件包和Shiny应用程序
Samuel Iddi,Michael C Donohue
Samuel Iddi
Longitudinal studies are ubiquitous in medical and clinical research. Sample size computations are critical to ensure that these studies are sufficiently powered to provide reliable and valid inferences. There are several methodologies for ...
Structured Bayesian Regression Tree Models for Estimating Distributed Lag Effects: The R Package dlmtree [0.03%]
用于估计分布滞后效应的结构化贝叶斯回归树模型：R包dlmtree
Seongwon Im,Ander Wilson,Daniel Mork
Seongwon Im
When examining the relationship between an exposure and an outcome, there is often a time lag between exposure and the observed effect on the outcome. A common statistical approach for estimating the relationship between the outcome and lag...
CIMTx: An R Package for Causal Inference with Multiple Treatments using Observational Data [0.03%]
使用观察数据进行多处理因果推断的CIMTx R包
Lianyuan Hu,Jiayi Ji
Lianyuan Hu
CIMTx provides efficient and unified functions to implement modern methods for causal inferences with multiple treatments using observational data with a focus on binary outcomes. The methods include regression adjustment, inverse probabili...
Hillary M Heiling,Naim U Rashid,Quefeng Li et al.
Hillary M Heiling et al.
Generalized linear mixed models (GLMMs) are widely used in research for their ability to model correlated outcomes with non-Gaussian conditional distributions. The proper selection of fixed and random effects is a critical part of the model...
Christopher R Bilder,Brianna D Hitt,Brad J Biggerstaff et al.
Christopher R Bilder et al.
Group testing is the process of testing items as an amalgamation, rather than separately, to determine the binary status for each item. Its use was especially important during the COVID-19 pandemic through testing specimens for SARS-CoV-2. ...
Zehang Richard Li,Jason Thomas,Eungang Choi et al.
Zehang Richard Li et al.
Verbal autopsy (VA) is a survey-based tool widely used to infer cause of death (COD) in regions without complete-coverage civil registration and vital statistics systems. In such settings, many deaths happen outside of medical facilities an...
APCI: An R and Stata Package for Visualizing and Analyzing Age-Period-Cohort Data [0.03%]
APCI：一个用于年龄、时期、世代数据可视化和分析的R包和Stata插件
Jiahui Xu,Liying Luo
Jiahui Xu
Social scientists have frequently attempted to assess the relative contribution of age, period, and cohort variables to the overall trend in an outcome. We develop an R package APCI (and Stata command apci) to implement the age-period-cohor...
metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface [0.03%]
metapack：一种用于贝叶斯元分析和网络元分析的R包，具有统一的公式界面
Daeyoung Lim,Ming-Hui Chen,Joseph G Ibrahim et al.
Daeyoung Lim et al.
Meta-analysis, a statistical procedure that compares, combines, and synthesizes research findings from multiple studies in a principled manner, has become popular in a variety of fields. Meta-analyses using study-level (or equivalently aggr...
ICAOD: An R Package for Finding Optimal designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm [0.03%]
基于帝国竞争算法的非线性统计模型试验设计软件包ICAOD
Ehsan Masoudi,Heinz Holling,Weng Kee Wong et al.
Ehsan Masoudi et al.
Optimal design ideas are increasingly used in different disciplines to rein in experimental costs. Given a nonlinear statistical model and a design criterion, optimal designs determine the number of experimental points to observe the respon...
stratamatch: Prognostic Score Stratification Using a Pilot Design [0.03%]
基于预试验设计的预后评分分层:stratamatch包及其应用
Rachael C Aikens,Joseph Rigdon,Justin Lee et al.
Rachael C Aikens et al.
In a block-randomized controlled trial, individuals are subdivided by prognostically important baseline characteristics (e.g., age group, sex, or smoking status), prior to randomization. This step reduces the heterogeneity between the treat...