Babak Choodari-Oskooei,Tim P Morris
Babak Choodari-Oskooei
A major factor in the uptake of new statistical methods is the availability of user-friendly software implementations. One attractive feature of Stata is that users can write their own commands and release them to other users via Statistica...
Reconstructing time-to-event data from published Kaplan-Meier curves [0.03%]
从发表的Kaplan-Meier曲线中重建时间事件数据
Yinghui Wei,Patrick Royston
Yinghui Wei
Hazard ratios can be approximated by data extracted from published Kaplan-Meier curves. Recently, this curve approach has been extended beyond hazard-ratio approximation with the capability of constructing time-to-event data at the individu...
Patrick Royston
Patrick Royston
Since Royston and Altman's 1994 publication (Journal of the Royal Statistical Society, Series C 43: 429-467), fractional polynomials have steadily gained popularity as a tool for flexible parametric modeling of regression relationships. In ...
Reference-based sensitivity analysis via multiple imputation for longitudinal trials with protocol deviation [0.03%]
基于参考的敏感性分析通过多重插补处理纵向试验中的协议偏离问题
Suzie Cro,Tim P Morris,Michael G Kenward et al.
Suzie Cro et al.
Randomized controlled trials provide essential evidence for the evaluation of new and existing medical treatments. Unfortunately, the statistical analysis is often complicated by the occurrence of protocol deviations, which mean we cannot a...
mfpa: Extension of mfp using the ACD covariate transformation for enhanced parametric multivariable modeling [0.03%]
MFPA：使用ACD协变量变换扩展MFP以增强参数多元建模能力
Patrick Royston,Willi Sauerbrei
Patrick Royston
In a recent article, Royston (2015, Stata Journal 15: 275-291) introduced the approximate cumulative distribution (acd) transformation of a continuous covariate x as a route toward modeling a sigmoid relationship between x and an outcome va...
A smooth covariate rank transformation for use in regression models with a sigmoid dose-response function [0.03%]
一种用于回归模型中S形剂量反应函数的平滑协变量秩变换
Patrick Royston
Patrick Royston
We consider how to represent sigmoid-type regression relationships in a practical and parsimonious way. A pure sigmoid relationship has an asymptote at both ends of the range of a continuous covariate. Curves with a single asymptote are als...
Density-based empirical likelihood procedures for testing symmetry of data distributions and K-sample comparisons [0.03%]
基于密度的实证似然程序用于检验数据分布的对称性和K样本比较问题
Albert Vexler,Hovig Tanajian,Alan D Hutson
Albert Vexler
In practice, parametric likelihood-ratio techniques are powerful statistical tools. In this article, we propose and examine novel and simple distribution-free test statistics that efficiently approximate parametric likelihood ratios to anal...
Owen O&#x;Donnell,Stephen O&#x;Neill,Tom Van Ourti et al.
Owen O&#x;Donnell et al.
Concentration indices are frequently used to measure inequality in one variable over the distribution of another. Most commonly, they are applied to the measurement of socioeconomic-related inequality in health. We introduce a user-written ...
Model specification and bootstrapping for multiply imputed data: An application to count models for the frequency of alcohol use [0.03%]
多重插补数据下的模型设定与自助法：以酒精使用频率计数模型为例
W Scott Comulada
W Scott Comulada
Stata's mi commands provide powerful tools to conduct multiple imputation in the presence of ignorable missing data. In this article, I present Stata code to extend the capabilities of the mi commands to address two areas of statistical inf...
Analysis of partially observed clustered data using generalized estimating equations and multiple imputation [0.03%]
使用广义估计方程和多重插补分析部分观测的聚类数据
Kathryn M Aloisio,Sonja A Swanson,Nadia Micali et al.
Kathryn M Aloisio et al.
Clustered data arise in many settings, particularly within the social and biomedical sciences. As an example, multiple-source reports are commonly collected in child and adolescent psychiatric epidemiologic studies where researchers use var...