Representing Micro-Macro Linkages by Actor-Based Dynamic Network Models [0.03%]
基于行动者的动态网络模型表示微观-宏观联系
Tom A B Snijders,Christian E G Steglich
Tom A B Snijders
Stochastic actor-based models for network dynamics have the primary aim of statistical inference about processes of network change, but may be regarded as a kind of agent-based models. Similar to many other agent-based models, they are base...
Tyler J VanderWeele
Tyler J VanderWeele
Analyses of social network data have suggested that obesity, smoking, happiness and loneliness all travel through social networks. Individuals exert "contagion effects" on one another through social ties and association. These analyses have...
Effects of Causes and Causes of Effects: Some Remarks From the Sociological Side [0.03%]
论因果：来自社会学的一些评论
Herbert L Smith
Herbert L Smith
Sociology is pluralist in subject matter, theory, and method, and thus a good place to entertain ideas about causation associated with their use under the law. I focus on two themes of their article: (1) the legal lens on causation that "co...
Direct and indirect effects for neighborhood-based clustered and longitudinal data [0.03%]
基于邻里关系的聚类和纵向数据的直接效应与间接效应
T J VanderWeele
T J VanderWeele
Definitions of direct and indirect effects are given for settings in which individuals are clustered in groups or neighborhoods and in which treatments are administered at the group level. A particular intervention may affect individual out...
Measuring Discontinuity in Binary Longitudinal Data: Applications to Drug Use Trajectories [0.03%]
二元纵向数据不连续性的测量：吸毒行为轨迹的应用实例分析
Thor Whalen,Miriam Boeri
Thor Whalen
Life course perspectives focus on the variation in trajectories, generally to identify differences in variation dynamics and classify trajectories accordingly. Our goal here is to develop methods to gauge the discontinuity characteristics t...
ML versus MI for Missing Data with Violation of Distribution Conditions [0.03%]
缺失数据情况下分布假设被违背时的机器学习方法与多重填充法的比较研究
Ke-Hai Yuan,Fan Yang-Wallentin,Peter M Bentler
Ke-Hai Yuan
Normal-distribution-based maximum likelihood (ML) and multiple imputation (MI) are the two major procedures for missing data analysis. This article compares the two procedures with respects to bias and efficiency of parameter estimates. It ...
An Empirical Analysis of the Impact of Recruitment Patterns on RDS Estimates among a Socially Ordered Population of Female Sex Workers in China [0.03%]
中国女性性工作者招募模式对其社交秩序影响的实证分析
Thespina J Yamanis,M Giovanna Merli,William Whipple Neely et al.
Thespina J Yamanis et al.
Respondent-driven sampling (RDS) is a method for recruiting "hidden" populations through a network-based, chain and peer referral process. RDS recruits hidden populations more effectively than other sampling methods and promises to generate...
Multiple Imputation For Combined-Survey Estimation With Incomplete Regressors In One But Not Both Surveys [0.03%]
组合调查估计中的多重插补法及其在其中一个但不是全部调查中存在不完整解释变量时的应用
Michael S Rendall,Bonnie Ghosh-Dastidar,Margaret M Weden et al.
Michael S Rendall et al.
Within-survey multiple imputation (MI) methods are adapted to pooled-survey regression estimation where one survey has more regressors, but typically fewer observations, than the other. This adaptation is achieved through: (1) larger number...
Homophily and Contagion Are Generically Confounded in Observational Social Network Studies [0.03%]
观察性社会网络研究中的同质性和传染性通常会产生混淆效应
Cosma Rohilla Shalizi,Andrew C Thomas
Cosma Rohilla Shalizi
The authors consider processes on social networks that can potentially involve three factors: homophily, or the formation of social ties due to matching individual traits; social contagion, also known as social influence; and the causal eff...
Kenneth A Bollen,Shawn Bauldry
Kenneth A Bollen
Multiequation models that contain observed or latent variables are common in the social sciences. To determine whether unique parameter values exist for such models, one needs to assess model identification. In practice analysts rely on emp...