Calculating level-specific SEM fit indices for multilevel mediation analyses [0.03%]
多水平中介分析中层次特定的SEM拟合指数计算方法研究
W Scott Comulada
W Scott Comulada
Stata's gsem command provides the ability to fit multilevel structural equation models (sem) and related multilevel models. A motivating example is provided by multilevel mediation analyses (ma) conducted on patient data from Methadone Main...
swpermute: Permutation tests for Stepped-Wedge Cluster-Randomised Trials [0.03%]
Stepped楔形设计群随机试验的排列检验软件包SWPermute
Jennifer Thompson,Calum Davey,Richard Hayes et al.
Jennifer Thompson et al.
Permutation tests are useful in stepped-wedge trials to provide robust statistical tests of intervention-effect estimates. However, the Stata command permute does not produce valid tests in this setting because individual observations are n...
Estimation of Multivariate Probit Models via Bivariate Probit [0.03%]
基于二元 probit 模型的多元 probit 模型估计方法
John Mullahy
John Mullahy
This paper suggests the utility of estimating multivariate probit (MVP) models using a chain of bivariate probit estimators. The proposed approach is based on Stata's biprobit and suest procedures and is driven by a Mata function. Two poten...
kg_nchs: A command for Korn-Graubard confidence intervals and National Center for Health Statistics' Data Presentation Standards for Proportions [0.03%]
kg_nchs：用于Korn-Graubard置信区间和美国疾病控制与预防中心国家卫生统计中心比例数据呈现标准的命令
Brian W Ward
Brian W Ward
In August 2017 the National Center for Health Statistics (NCHS), part of the U.S. Federal Statistical System, published new standards for determining the reliability of proportions estimated using their data. These standards require an indi...
Allowing for informative missingness in aggregate data meta-analysis with continuous or binary outcomes: Extensions to metamiss [0.03%]
考虑连续结局或二分类结局汇总数据的系统综述中信息性缺失：metamiss宏程序的扩展功能
Anna Chaimani,Dimitris Mavridis,Julian P T Higgins et al.
Anna Chaimani et al.
Missing outcome data can invalidate the results of randomized trials and their meta-analysis. However, addressing missing data is often a challenging issue because it requires untestable assumptions. The impact of missing outcome data on th...
The estimation and modelling of cause-specific cumulative incidence functions using time-dependent weights [0.03%]
利用时间依赖权重估算和建模因果累积发生的函数
Paul C Lambert
Paul C Lambert
Competing risks occur in survival analysis when an individual is at risk of more than one type of event and the occurrence of one event precludes the occurrence of any other event. A measure of interest with competing risks data is the caus...
stpm2cr: A flexible parametric competing risks model using a direct likelihood approach for the cause-specific cumulative incidence function [0.03%]
基于直接似然法的灵活参数竞争风险模型用于原因特异性累积发病率函数
Sarwar Islam Mozumder,Mark J Rutherford,Paul C Lambert
Sarwar Islam Mozumder
In a competing risks analysis, interest lies in the cause-specific cumulative incidence function (CIF) which is usually obtained in a modelling framework by either (1) transforming on all of the cause-specific hazard (CSH) or (2) through it...
Estimating inverse-probability weights for longitudinal data with dropout or truncation: The xtrccipw command [0.03%]
具有脱落或截尾的纵向数据的逆概率权重估计：xtrccipw命令
Eric J Daza,Michael G Hudgens,Amy H Herring
Eric J Daza
Individuals may drop out of a longitudinal study, rendering their outcomes unobserved but still well defined. However, they may also undergo truncation (for example, death), beyond which their outcomes are no longer meaningful. Kurland and ...
Matthew S Gillman
Matthew S Gillman
Producing RTF files from Stata can be difficult and somewhat cryptic. Utilities are introduced to simplify this process; one builds up a table row-by-row, another inserts a PNG image file into an RTF document, and the others start and finis...
A combined test for a generalized treatment effect in clinical trials with a time-to-event outcome [0.03%]
具有生存结局的临床试验中广义处理效应的组合检验方法研究
Patrick Royston
Patrick Royston
Most randomized controlled trials with a time-to-event outcome are designed and analyzed assuming proportional hazards of the treatment effect. The sample-size calculation is based on a log-rank test or the equivalent Cox test. Nonproportio...