Raul C Ferraz,Alberto Maydeu-Olivares
Raul C Ferraz
A Causal Approach to Functional Mediation Analysis with Application to a Smoking Cessation Intervention [0.03%]
功能中介分析的因果方法及其在戒烟干预中的应用
Donna L Coffman,John J Dziak,Kaylee Litson et al.
Donna L Coffman et al.
The increase in the use of mobile and wearable devices now allows dense assessment of mediating processes over time. For example, a pharmacological intervention may have an effect on smoking cessation via reductions in momentary withdrawal ...
FINDOUT: Using Either SPSS Commands or Graphical User Interface to Identify Influential Cases in Structural Equation Modeling in AMOS [0.03%]
深度解析：使用SPSS命令或图形用户界面在AMOS结构方程模型中识别有影响力的个案
Shu Fai Cheung,Ivan Jacob Agaloos Pesigan
Shu Fai Cheung
The results in a structural equation modeling (SEM) analysis can be influenced by just a few observations, called influential cases. Tools have been developed for users of R to identify them. However, similar tools are not available for AMO...
Marie Salditt,Sarah Humberg,Steffen Nestler
Marie Salditt
Gradient tree boosting is a powerful machine learning technique that has shown good performance in predicting a variety of outcomes. However, when applied to hierarchical (e.g., longitudinal or clustered) data, the predictive performance of...
An Investigation of Factored Regression Missing Data Methods for Multilevel Models with Cross-Level Interactions [0.03%]
具有跨水平相互作用的多层模型的因素回归缺省数据方法研究
Brian T Keller,Craig K Enders
Brian T Keller
A growing body of literature has focused on missing data methods that factorize the joint distribution into a part representing the analysis model of interest and a part representing the distributions of the incomplete predictors. Relativel...
Evaluating Avoidable Heterogeneity in Exploratory Factor Analysis Results [0.03%]
探索性因子分析结果中可避免异质性的评估
Patrick D Manapat,Samantha F Anderson,Michael C Edwards
Patrick D Manapat
Estimating Bayesian Diagnostic Models with Attribute Hierarchies with the Hamiltonian-Gibbs Hybrid Sampler [0.03%]
具有属性层次结构的贝叶斯诊断模型的汉密尔顿-吉布斯混合抽样估计方法
Alfonso J Martinez,Jonathan Templin
Alfonso J Martinez
A Realistic Evaluation of Methods for Handling Missing Data When There is a Mixture of MCAR, MAR, and MNAR Mechanisms in the Same Dataset [0.03%]
当同一数据集中存在MCAR，MAR和MNAR机制时处理缺失数据的方法的现实评估
Brenna Gomer,Ke-Hai Yuan
Brenna Gomer
The impact of missing data on statistical inference varies depending on several factors such as the proportion of missingness, missing-data mechanism, and method employed to handle missing values. While these topics have been extensively st...