Multi Level Model(多层次模型)研究综述
Multi Level Model 多层次模型 - Multi-level models were used to determine i) whether precinct-level trading hours moderated the relationship between outlet density and serious assaults; and ii) the impact of outlets closing before 12am, 3am, and 5am on serious assaults. [1] Ward- and patient-level factors were evaluated with multi-level models. [2] Here we generalize the main results of [10] to the multi-level model considered in [12] and [13]. [3] In recent years, multi-level modeling has become more and more popular. [4] Results of multi-level modeling showed no support for gain-oriented strategies, namely elective selection (prioritizing one instead of multiple goals) and optimization (investing every effort to reach one's goal). [5] First, we developed a small extension of a multi-level modeling method proposed in 2007 by Croon and van Veldhoven and validated its properties using a comprehensive simulation study. [6] Using multi-level modeling, daily hassles and uplifts were both significantly associated with greater unhealthy snacking. [7] In the multi-level modeling, the mediation effect of employee commitment was checked by using Monte Carlo simulation. [8] An image-based multi-level modeling method is proposed to estimate the effective bulk thermal conductivity of lightweight aggregate (LWA) impregnated with phase change material (PCM). [9] Results were analyzed using multi-level models to evaluate the 7-day average (i. [10] Multi-level modeling was used to determine the individual-difference factors that modulated the relation between word-level characteristics (e. [11] Suboptimal Decision Making was the only significant moderator identified via multi-level modeling; however, comparison of subgroup effect sizes revealed potential moderating effects of ADHD presentation and trial-by-trial feedback on behavioral tasks. [12] Multi-layer modeling is originated from multi-level modeling and offers a highly flexible abstraction management approach in a level-blind fashion through its advanced deep instantiation and evolutionary snapshot management. [13] We used multi-level models to assess the effects of 287(g) programs on ACSC hospitalizations during FY2011-2015. [14] Multi-level models indicated that FA changed significantly during treatment, with gains maintained over 6-months. [15] Tendon stress was calculated as the ratio of tendon force during contraction to CSA using the resting and instantaneous measures of CSA, and statistically evaluated with multi-level modeling (MLM) and Johnson–Neyman regions of significance tests to determine the specific force levels above which the differences between calculation methods and groups became statistically significant. [16] At a methodological level, our research revealed that in any multi-level modelling exercise, POM can be seen as an essential approach to accompany the ACE approach, particularly for a macroeconomic (here macro = regional) looping of a model designed at a microscale. [17] The aim of this contribution is to present a multi-level model for assessing the vulnerability of key elements of rail transport infrastructure. [18] Multi-level models assessed whether social factors-housing status, insurance type, and co-methamphetamine use-predicted outcomes while accounting for group-level effects of treating hospital and controlling for age, race/ethnicity, and gender. [19] MCID changes of the PRO were introduced and compared with β values of CDSM obtained from the multi-level models to further evaluate the clinical significance. [20] To integrate the data from different platforms, various integrative analyses have been adopted, ranging from the direct union or intersection operation on sets derived from different single-platform analysis to complex hierarchical multi-level models. [21] Multi-level modeling analyses were used. [22] To clarify the relationship between the KCL and geriatric depression or critical factors, a random intercept model of multi-level models was estimated using individual and provincial variables depending on five cohorts. [23] We used the principal component analysis to build the social economic and strategy effect on each area respectively and used multi-level model (MLM) to explore the personality, social economic and strategy effects in health-related quality of life among PLWHIV. [24] Finally we used multi-level model (MLM) to explore the personality, social economic and strategy effects in health-related quality of life among PLWHIV. [25] Next, multi-level modeling was conducted to test concurrent relations of Wave 1 school contextual factors to all four parent involvement constructs (controlling for family-level factors), as well as testing the prospective relations of parent involvement at Wave 1 to children's academic achievement at Wave 2. [26] The results of multi-level modeling and mediational analyses demonstrated that higher optimism, one form of trait positive anticipation, was related to higher state positive anticipation, which was in turn related to higher positive emotions during the current episode, which persisted to the next episode. [27] By reducing the complexity of large models through multi-level models while keeping the essence (biological meaning) of the model, model reduction can help answer many important questions about these systems. [28] We employed multi-level modeling to examine group differences overall, and in three factor-analytically derived domains labeled Acting Out, Lack of Future Planning, and Hassles. [29] Multi-level models showed a significant group by time interaction effect (B = -0. [30] The results of multi-level modelling revealed that students’ test scores in the computerized version of the VERA test were significantly lower than in the paper-pencil version. [31] Analyses were performed on four waves of data with one-year intervals using multi-level modeling. [32] Using spatial econometric and multi-level models, we assess if and to what extent perceived urban park quality affects the value of nearby houses and the interaction effect between urban park quality and proximity. [33] Our results show that the use of multi-level models can provide new insights into the factors that may be related to disclosed prevalence of violence against women. [34] Through re-analysis of the CRASH-2 trial (2010), this study clarifies when and how to use multi-level models for multicentre studies with binary outcomes. [35] Multi-level modeling was used to examine within-person effects and temporal associations with adjustment for day of the week. [36] Multi-level modeling analyses showed that participants expressed differential rates of learning to avoid risks on the gambling task, depending on their status as potential problem/non-problem gamblers and their level of self-compassion. [37] Trial registration numberEudraCT Number: 2020-001684-89 ISRCTN Number: 40580903 Strengths and limitations of this trialO_LICATALYST will provide a rapid readout on the safety and proof-of-concept of candidate novel treatments C_LIO_LICATALYST will enable phase III trial resources to be focussed and allocated for agents with a high likelihood of success C_LIO_LICATALYST uses Bayesian multi-level models to allow for nesting of repeated measures data, with factors for each individual patient and treatment arm, and allowing for non-linear responses C_LIO_LICATALYST is not designed to provide a definitive signal on clinical outcomes C_LI. [38] Based on the multi-level model, the corneal elastic modulus is found to have a linear positive relation with IOP (P<0. [39] By developing a global willingness–local ability framework, we test a multi-level model of corporate EO by conceptualizing its effects on business unit radical innovation and business unit financial performance, moderated by business unit R&D resourcing and business unit absorptive capacity. [40] It provides the seamless integrations of multi-level models and interconnections between virtual and real testing, which reduces the total development time of the electrified vehicles. [41] Data analysis utilised random-slope multi-level models. [42] Multi-level modelling showed girls who received BTIDA reported less appearance commentary engagement and thin ideal internalisation at T2 and T3, than the control, supporting the partial efficacy of BTIDA for girls. [43] Multi-level models indicated that A/YAs with higher IQs experienced severer top problems exacerbations at the transition to the COVID-19 pandemic. [44] Multi-level modeling analyses showed a within-person increase in mental health symptoms from before to after the outbreak after controlling for changes associated with maturation. [45] Analyses were conducted relying on the multi-level modeling framework (MLM), accounting for between- and within-culture variability, and examining the extent to which TV exposure contributions were universal vs. [46] For each outcome, we estimated multi-level models with separate practice-level random intercepts for Black and White patients to quantify practice-level Black-White disparities in adjusted rates of these measures and assess the associations of these rates with the proportion of Black patients in the practice. [47] Multi-level modelling revealed a large overall effect, Hedges' g = 1. [48] Associations between changes in weight and changes in activity and diet compositions will be examined using repeated measures multi-level models. [49] Using multi-level modelling we compared team performance and referee decisions pre-COVID (crowd present) and during-COVID (crowd absent) across 4844 games from 15 leagues in 11 countries. [50]多层次模型用于确定 i) 辖区级交易时间是否缓和了网点密度与严重袭击之间的关系； ii) 凌晨 12 点、凌晨 3 点和 5 点之前关闭的网点对严重袭击的影响。 [1] 使用多级模型评估病房和患者级别的因素。 [2] 在这里，我们将 [10] 的主要结果推广到 [12] 和 [13] 中考虑的多级模型。 [3] 近年来，多层次建模越来越流行。 [4] 多层次建模的结果表明不支持增益导向策略，即选择性选择（优先考虑一个而不是多个目标）和优化（尽一切努力实现目标）。 [5] 首先，我们开发了 Croon 和 van Veldhoven 在 2007 年提出的多层次建模方法的一个小扩展，并使用综合模拟研究验证了它的特性。 [6] 使用多层次建模，日常的麻烦和提升都与更多的不健康零食显着相关。 [7] 在多层次建模中，通过蒙特卡罗模拟检验了员工承诺的中介效应。 [8] 提出了一种基于图像的多级建模方法来估计浸渍相变材料 (PCM) 的轻骨料 (LWA) 的有效体积热导率。 [9] 使用多级模型分析结果以评估 7 天平均值（即 [10] 多层次建模用于确定调节词级特征之间关系的个体差异因素（例如。 [11] 次优决策是通过多层次建模确定的唯一重要调节因素；然而，亚组效应大小的比较揭示了 ADHD 呈现和试验反馈对行为任务的潜在调节作用。 [12] 多层建模起源于多层建模，通过其先进的深度实例化和进化快照管理，以层级盲的方式提供了一种高度灵活的抽象管理方法。 [13] 我们使用多层次模型来评估 287(g) 计划对 2011-2015 财年 ACSC 住院的影响。 [14] 多水平模型表明，FA 在治疗期间发生了显着变化，增益保持超过 6 个月。 [15] 肌腱应力计算为收缩期间肌腱力与 CSA 的比值，使用 CSA 的静息和瞬时测量值，并通过多水平建模 (MLM) 和显着性检验的 Johnson-Neyman 区域进行统计评估，以确定高于该水平的比力水平计算方法和组之间的差异具有统计学意义。 [16] 在方法论层面上，我们的研究表明，在任何多层次建模练习中，POM 都可以被视为伴随 ACE 方法的基本方法，特别是对于在微观尺度上设计的模型的宏观经济（此处宏观 = 区域）循环。 [17] 这篇文章的目的是提出一个多层次的模型，用于评估铁路运输基础设施关键要素的脆弱性。 [18] 多层次模型评估了社会因素——住房状况、保险类型和联合甲基苯丙胺的使用是否可以预测结果，同时考虑治疗医院和控制年龄、种族/民族和性别的群体水平影响。 [19] 引入 PRO 的 MCID 变化，并与多水平模型获得的 CDSM 的 β 值进行比较，以进一步评估临床意义。 [20] 为了整合来自不同平台的数据，已经采用了各种整合分析，从不同单平台分析派生的集合上的直接联合或交叉运算到复杂的分层多层次模型。 [21] 使用了多级建模分析。 [22] 为了阐明 KCL 与老年抑郁症或关键因素之间的关系，使用取决于五个队列的个人和省级变量估计多水平模型的随机截距模型。 [23] 采用主成分分析分别构建各领域的社会经济和战略效应，并采用多层次模型（MLM）探讨感染者健康相关生活质量的人格、社会经济和战略效应。 [24] 最后，我们使用多层次模型（MLM）探讨了感染者健康相关生活质量中的人格、社会经济和策略效应。 [25] 接下来，进行多层次建模以测试 Wave 1 学校背景因素与所有四个家长参与结构（控制家庭层面因素）的并发关系，以及测试 Wave 1 家长参与与儿童学业成就的预期关系在第 2 波。 [26] 多层次建模和中介分析的结果表明，较高的乐观情绪（一种特质积极预期）与较高的状态积极预期相关，而后者又与当前情节中较高的积极情绪相关，并持续到下一情节. [27] 通过多层次模型降低大型模型的复杂性，同时保留模型的本质（生物学意义），模型简化可以帮助回答有关这些系统的许多重要问题。 [28] 我们采用多层次建模来检查总体上的群体差异，并在三个由因素分析得出的领域中分别标记为“行动不力”、“缺乏未来计划”和“麻烦”。 [29] 多层次模型显示出显着的组按时间交互效应（B = -0. [30] 多层次建模的结果显示，学生在 VERA 测试的计算机版本中的考试成绩明显低于纸笔版本。 [31] 使用多层次建模对间隔一年的四波数据进行了分析。 [32] 使用空间计量经济学和多层次模型，我们评估感知的城市公园质量是否以及在多大程度上影响附近房屋的价值以及城市公园质量与邻近度之间的相互作用。 [33] 我们的研究结果表明，使用多层次模型可以为可能与公开的暴力侵害妇女行为流行率相关的因素提供新的见解。 [34] 通过对 CRASH-2 试验 (2010) 的重新分析，本研究阐明了何时以及如何使用多层次模型进行具有二元结果的多中心研究。 [35] 多层次建模用于检查人体内效应和时间关联以及调整一周中的某一天。 [36] 多层次建模分析表明，参与者表达了不同的学习率，以避免赌博任务的风险，这取决于他们作为潜在问题/非问题赌徒的状态以及他们的自我同情程度。 [37] 试用注册号EudraCT号：2020-001684-89 ISRCTN 号码：40580903 该试验的优势和局限性O_LICATALYST 将提供关于候选新疗法的安全性和概念验证的快速读数 C_LIO_LICATALYST 将使 III 期试验资源能够集中并分配给成功可能性很高的代理 C_LIO_LICATALYST 使用贝叶斯多级模型来允许嵌套重复测量数据，每个患者和治疗组的因素，并允许非线性响应 C_LIO_LICATALYST 并非旨在提供有关临床结果的明确信号 C_LI。 [38] 基于多层次模型，发现角膜弹性模量与眼压呈线性正相关（P<0. [39] 通过开发一个全球意愿-本地能力框架，我们通过概念化其对业务部门激进创新和业务部门财务绩效的影响来测试企业 EO 的多层次模型，该模型由业务部门研发资源和业务部门吸收能力调节。 [40] 它提供了多级模型的无缝集成以及虚拟和真实测试之间的互连，从而减少了电动汽车的总开发时间。 [41] 数据分析使用随机斜率多层次模型。 [42] 多层次模型显示，与对照组相比，接受 BTIDA 的女孩在 T2 和 T3 报告的外观评论参与度和理想内化程度较低，这支持了 BTIDA 对女孩的部分疗效。 [43] 多层次模型表明，智商较高的 A/YA 在过渡到 COVID-19 大流行时经历了更严重的主要问题恶化。 [44] 多层次建模分析显示，在控制了与成熟相关的变化后，从爆发前到爆发后，心理健康症状在个人内部有所增加。 [45] 分析依赖于多层次建模框架 (MLM)，考虑了文化间和文化内的变异性，并检查了电视曝光贡献的普遍性与非传统性的程度。 [46] 对于每个结果，我们估计了多层次模型，对黑人和白人患者具有单独的实践级随机截距，以量化这些措施的调整率中的实践级黑白差异，并评估这些比率与黑人患者比例的关联在实践中。 [47] 多层次建模揭示了一个很大的整体效应，Hedges 的 g = 1。 [48] 将使用重复测量多级模型检查体重变化与活动和饮食成分变化之间的关联。 [49] 使用多层次模型，我们比较了来自 11 个国家的 15 个联赛的 4844 场比赛的球队表现和裁判决策。 [50]