Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables [0.03%]
包含纵向反应和解释变量的聚类分析中的贝叶斯轮廓回归
Anaïs Rouanet,Rob Johnson,Magdalena Strauss et al.
Anaïs Rouanet et al.
The identification of sets of co-regulated genes that share a common function is a key question of modern genomics. Bayesian profile regression is a semi-supervised mixture modelling approach that makes use of a response to guide inference ...
Modeling Likert scale outcomes with trend-proportional odds with and without cluster data [0.03%]
基于集群数据和趋势比例优势的Likert尺度结果模型分析
Ana W Capuano,Jeffrey D Dawson,Marizen R Ramirez et al.
Ana W Capuano et al.
Likert scales are commonly used in epidemiological studies employing surveys. In this tutorial we demonstrate how the proportional odds model and the trend odds model can be applied simultaneously to data measured in Likert scales, allowing...
Using Pointwise Mutual Information for Breast Cancer Health Disparities Research With SEER-Medicare Claims [0.03%]
利用点互信息和SEER-Medicare理赔数据进行乳腺癌健康差异研究
Brian L Egleston,Ashis Kumar Chanda,Tian Bai et al.
Brian L Egleston et al.
Identification of procedures using International Classification of Diseases or Healthcare Common Procedure Coding System codes is challenging when conducting medical claims research. We demonstrate how Pointwise Mutual Information can be us...
Strategies for Increasing the Accuracy of Interviewer Observations of Respondent Features: Evidence from the U.S. National Survey of Family Growth [0.03%]
提高面访者关于受访者特征观察准确性的策略——来自美国家庭成长调查的证据
Brady T West,Frauke Kreuter
Brady T West
Because survey response rates are consistently declining worldwide, survey researchers strive to obtain as much auxiliary information on sampled units as possible. Surveys using in-person interviewing often request that interviewers collect...
Comparing the Performance of Improved Classify-Analyze Approaches For Distal Outcomes in Latent Profile Analysis [0.03%]
改进的classify-analyze方法在潜在剖面分析中对远端结果性能的比较
John J Dziak,Bethany C Bray,Jieting Zhang et al.
John J Dziak et al.
Several approaches are available for estimating the relationship of latent class membership to distal outcomes in latent profile analysis (LPA). A three-step approach is commonly used, but has problems with estimation bias and confidence in...
Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use [0.03%]
关于通过分箱计数定义的序数项目的乘法的有效性问题——一种酒精使用的数量-频率测量的应用
James S McGinley,Patrick J Curran
James S McGinley
Social and behavioral scientists often measure constructs that are truly discrete counts by collapsing (or binning) the counts into a smaller number of ordinal responses. While prior quantitative research has identified a series of concerns...
Model error in covariance structure models: Some implications for power and Type I error [0.03%]
协方差结构模型中的模型误差：对功效和I类错误的一些影响
Donna L Coffman
Donna L Coffman
The present study investigated the degree to which violation of the parameter drift assumption affects the Type I error rate for the test of close fit and power analysis procedures proposed by MacCallum, Browne, and Sugawara (1996) for both...
Factorial Invariance and The Specification of Second-Order Latent Growth Models [0.03%]
阶乘不变性和第二阶潜在增长模型的规范化的研究
Emilio Ferrer,Nekane Balluerka,Keith F Widaman
Emilio Ferrer
Latent growth modeling has been a topic of intense interest during the past two decades. Most theoretical and applied work has employed first-order growth models, in which a single manifest variable serves as indicator of trait level at eac...