Analytic strategies for longitudinal networks with missing data

Missing data are often problematic when analyzing complete longitudinal social network data. We review approaches for accommodating missing data when analyzing longitudinal network data with stochastic actor-based models. One common practice is to restrict analyses to participants observed at most or all time points, to achieve model convergence. We propose and evaluate an alternative, more inclusive approach to sub-setting and analyzing longitudinal network data, using data from a school friendship network observed at four waves (N = 694). Compared to standard practices, our approach retained more information from partially observed participants, generated a more representative analytic sample, and led to less biased model estimates for this case study. The implications and potential applications for longitudinal network analysis are discussed.     

Estimating the variance of the sample median

The small-sample bias and root mean squared error of several distribution-free estimators of the variance of the sample median are examined. A new estimator is proposed that is easy to compute and tends to have the smallest bias and root mean squared error.     

《广绝交论》写作时间的考订及其意义

有关刘孝标《广绝交论》的写作时间，学术界主要有天监七年、天监九年两种观点。考察刘孝标在天监年间的行迹不难发现，天监十一年是刘孝标生平思想变化的重要转折点，以此为界，他由之前的汲汲于仕途功名彻底转向拒弃名利、向往隐逸。这一思想心态的蜕变，是《广绝交论》一文的基本创作前提，该文即作于此年。     

《全清词·雍乾卷》辑补74首

《全清词·雍乾卷》共收词人近1000家，词作35000多首。然由于清代词籍的复杂性，遗漏在所难免。今翻检清人诗文集及地方志等，为之补录4家词作74首，以备续编采择之需。     

On Pitman's measure of closeness of k-records

Pitman closeness of both the upper and lower k-record statistics to the population quantiles of a location–scale family of distributions is studied. For the population median, the Pitman-closest k-record is also determined. In the case of symmetric distributions, the Pitman closeness probabilities of k-record statistics are shown to be distribution-free, and explicit expressions are also derived for these probabilities. Exact expressions are derived for the required probabilities for uniform and exponential distributions. Numerical results are given for these families and also the Pitman-closest k-record is determined.     

Inferences on functions of Pareto parameters with application to income inequality measures

The Theil, Pietra, Éltetö and Frigyes measures of income inequality associated with the Pareto distribution function are expressed in terms of parameters defining the Pareto distribution. Inference procedures based on the generalized variable method, the large sample method, and the Bayesian method for testing of, and constructing confidence interval for, these measures are discussed. The results of Monte Carlo study are used to compare the performance of the suggested inference procedures from a population characterized by a Pareto distribution.     

农村劳动力转移就业的多元路径选择

长期以来，我国农村劳动力转移就业基本上是以流向东部沿海经济发达地区为主的单一模式。近年来，受东部沿海地区产业向中西部地区转移进程加快和内地经济快速发展的影响，区域间的比较优势逐渐弱化，农村劳动力远距离就业的选择空间越来越大，当地政府必须通过调整农业经济结构、鼓励农民自主创业、加大招商引资力度和开辟国外劳务市场等途径探索多元转移就业路径，实现农村劳动力合理转移就业。     

Bootstrap methods for bias correction and confidence interval estimation for nonlinear quantile regression of longitudinal data

This paper examines the use of bootstrapping for bias correction and calculation of confidence intervals (CIs) for a weighted nonlinear quantile regression estimator adjusted to the case of longitudinal data. Different weights and types of CIs are used and compared by computer simulation using a logistic growth function and error terms following an AR(1) model. The results indicate that bias correction reduces the bias of a point estimator but fails for CI calculations. A bootstrap percentile method and a normal approximation method perform well for two weights when used without bias correction. Taking both coverage and lengths of CIs into consideration, a non-bias-corrected percentile method with an unweighted estimator performs best.     

四级样态:高校对接"四种形态"的"度"

高校是“立德树人”培养高素质人才的基地，始终坚持在党的领导下办好中国特色社会主义高校，需要在思想和行动上执行好“四种形态”。正确认识当前高校践行“四种形态”存在的“精细治理”“文化管理”“经验管束”“粗放管理”等“四级样态”，对于高校党组织更好推进“四种形态”在高校落地生根具有重要意义     

Utilizing Bayesian predictive power in clinical trial design

The Bayesian paradigm provides an ideal platform to update uncertainties and carry them over into the future in the presence of data. Bayesian predictive power (BPP) reflects our belief in the eventual success of a clinical trial to meet its goals. In this paper we derive mathematical expressions for the most common types of outcomes, to make the BPP accessible to practitioners, facilitate fast computations in adaptive trial design simulations that use interim futility monitoring, and propose an organized BPP-based phase II-to-phase III design framework.