医院青年文化品牌塑造的路径探析

青年是医院的未来,引导青年医务人员树立坚定而充沛的文化自信是激发其积极性、主动性和创造性的重要方式。常州市第一人民医院以涵养文化自信为着力点打造青年文化品牌“青之源”,通过营造学习创新氛围、建设团日活动体系、搭建阅读分享平台、探索涵养青年文化自信的品牌塑造路径等方式,动力、活力、能力三源合流,为青年成长提供正向激励和人文滋养。     

Tail asymptotic of discounted aggregate claims with compound dependence under risky investment

This paper considers the tail asymptotic of discounted aggregate claims with compound dependence under risky investment. The price of risky investment is modeled by a geometric Lévy process, while claims are modeled by a one-sided linear process whose innovations further obeying a so-called upper tail asymptotic independence. When the innovations are heavy tailed, we derive some uniform asymptotic formulas. The results show that the linear dependence has significant impact on the tail asymptotic of discounted aggregate claims but the upper tail asymptotic independence is negligible.     

Parameters estimation for weibull distributed lifetimes under progressive censoring with random removeals

This paper considers the estimation problem when lifetimes are Weibull distributed and are collected under a Type-II progressive censoring with random removals, where the number of units removed at each failure time follows a uniform discrete distribution. The expected time of this censoring plan is discussed and compared numerically to that under a Type II censoring without removal. Maximum likelihood estimator of the parameters and their asymptotic variances are derived.     

Affiliation networks with an increasing degree sequence

Affiliation network is one kind of two-mode social network with two different sets of nodes (namely, a set of actors and a set of social events) and edges representing the affiliation of the actors with the social events. Although a number of statistical models are proposed to analyze affiliation networks, the asymptotic behaviors of the estimator are still unknown or have not been properly explored. In this article, we study an affiliation model with the degree sequence as the exclusively natural sufficient statistic in the exponential family distributions. We establish the uniform consistency and asymptotic normality of the maximum likelihood estimator when the numbers of actors and events both go to infinity. Simulation studies and a real data example demonstrate our theoretical results.     

Falsificationism is not just ‘potential’ falsifiability,but requires ‘actual’ falsification: Social psychology,critical rationalism,and progress in science

Based on an analysis of ten popular introductions to social psychology, we will show that Karl Popper's philosophy of ‘critical rationalism’ so far has had little to no traceable influence on the epistemology and practice of social psychology. If Popper is quoted or mentioned in the textbooks at all, the guiding principle of ‘falsificationism’ is reduced to a mere ‘falsifiability’ and some central elements of critical rationalism are left out – those that are incompatible with positivism and inductivism. Echoing earlier attempts to introduce Popper to social psychology by Paul Meehl and Tom Pettigrew, we will argue that a discussing Popper's ideas in more depth could help social psychology to move forward in view of the ‘crisis of confidence’ (Pashler and Wagenmakers, 2012) that has emerged recently in view of the ‘Stapel affair’ and the reports of failures to replicate social psychological experiments in high‐powered replication attempts.     

All pairwise comparisons of exponential location parameters under type i censoring — equal scale parameter case

In this paper, procedures for all pairwise comparisons of location parameters of negative exponential populations are developed when the common scale parameter is known or unknown using large sample distributional approximations of the relevant random variables. The small sample performance of these procedures are then examined using Monte Carlo simulation.     

Identifying as an evidence-based social worker: the influence of attitudes,access, confidence,and education

This study explored United States-based social workers’ (N = 152) attitudes toward, access to, and confidence in engaging in evidence-based practice (EBP), the extent to which social work education prepared them to engage in EBP, and the factors that contributed to their identification as an evidence-based practitioner. Findings indicated that although practitioners had a positive attitude toward engaging in EBP, they were only moderately confident in doing so, rarely accessed evidence, and were only moderately prepared through their education. Believing that EBP should be implemented, more educational preparation, and positive attitudes contributed to greater identification as an evidence-based practitioner, areas that social work and continuing education should further support to enhance social workers’ EBP skills.     

Interval estimation for the breakpoint in segmented regression: a smoothed score‐based approach

This paper is concerned with interval estimation for the breakpoint parameter in segmented regression. We present score‐type confidence intervals derived from the score statistic itself and from the recently proposed gradient statistic. Due to lack of regularity conditions of the score, non‐smoothness and non‐monotonicity, naive application of the score‐based statistics is unfeasible and we propose to exploit the smoothed score obtained via induced smoothing. We compare our proposals with the traditional methods based on the Wald and the likelihood ratio statistics via simulations and an analysis of a real dataset: results show that the smoothed score‐like statistics perform in practice somewhat better than competitors, even when the model is not correctly specified.     

Classical estimation of hazard rate and mean residual life functions of Pareto distribution

Abstract

In this paper we find the maximum likelihood estimates (MLEs) of hazard rate and mean residual life functions (MRLF) of Pareto distribution, their asymptotic non degenerate distribution, exact distribution and moments. We also discuss the uniformly minimum variance unbiased estimate (UMVUE) of hazard rate function and MRLF. Finally, two numerical examples with simulated data and real data set, are presented to illustrate the proposed estimates.     

Least squares estimation of varying‐coefficient hazard regression with application to breast cancer dose‐intensity data

To enhance modeling flexibility, the authors propose a nonparametric hazard regression model, for which the ordinary and weighted least squares estimation and inference procedures are studied. The proposed model does not assume any parametric specifications on the covariate effects, which is suitable for exploring the nonlinear interactions between covariates, time and some exposure variable. The authors propose the local ordinary and weighted least squares estimators for the varying‐coefficient functions and establish the corresponding asymptotic normality properties. Simulation studies are conducted to empirically examine the finite‐sample performance of the new methods, and a real data example from a recent breast cancer study is used as an illustration. The Canadian Journal of Statistics 37: 659–674; 2009 © 2009 Statistical Society of Canada