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Clinical professionals working in end-of-life (EOL) contexts are frequently relied upon to address questions of meaning with dying and bereaved persons. Similar to the gulf between researchers and practitioners besetting the larger healthcare community, the voices of EOL practitioners are often underrepresented in the empirical literature. This study aimed to further the dialogue in the field of thanatology by surveying and describing the therapeutic approaches that EOL practitioners most commonly report using to facilitate meaning-making. A total of 119 practitioners from a range of EOL disciplines were surveyed to write about their intervention strategies for helping clients/patients make sense of loss. Overall, participants discussed using 23 different therapeutic approaches that comprised three overarching categories: 1) presence of the helping professional; 2) elements of the process; and 3) therapeutic procedures. Importantly, the results also indicated that practitioners from the different EOL occupations are converging on many of the same strategies for promoting meaning-making. Implications for future research on evaluating the effectiveness of meaning-making interventions are also discussed. 相似文献
955.
Physicians' and hospitals' strategies often diverge--with poor results for both. The causes of this divergence are many. They include different methods of payment, divisive governmental regulations (like Stark) and cultural differences. 相似文献
956.
Although several authors have indicated that the median test has low power in small samples, it continues to be presented in many statistical textbooks, included in a number of popular statistical software packages, and used in a variety of application areas. We present results of a power simulation study that shows that the median test has noticeably lower power, even for the double exponential distribution for which it is asymptotically most powerful, than other readily available rank tests. We suggest that the median test be “retired” from routine use and recommend alternative rank tests that have superior power over a relatively large family of symmetric distributions. 相似文献
957.
Various methods for “Studentizing” the sample median are com-pared on the basis of a Monte Carlo study. Several of the methods do rather poorly while two, the bootstrap and the standardized length of a distribution free confidence interval, behave accept-ably acrors a wide range of sample sizes and several distributions of varying tail length. These two methods seem to agree closely with the distribution free confidence intervals and moreover, un-like these intervals, the methods can be extended to a method of accurate inference for λ1 regreasion. 相似文献
958.
This paper compares minimum distance estimation with best linear unbiased estimation to determine which technique provides the most accurate estimates for location and scale parameters as applied to the three parameter Pareto distribution. Two minimum distance estimators are developed for each of the three distance measures used (Kolmogorov, Cramer‐von Mises, and Anderson‐Darling) resulting in six new estimators. For a given sample size 6 or 18 and shape parameter 1(1)4, the location and scale parameters are estimated. A Monte Carlo technique is used to generate the sample sets. The best linear unbiased estimator and the six minimum distance estimators provide parameter estimates based on each sample set. These estimates are compared using mean square error as the evaluation tool. Results show that the best linear unbaised estimator provided more accurate estimates of location and scale than did the minimum estimators tested. 相似文献
959.
Mário de Castro Ming‐Hui Chen Joseph G. Ibrahim John P. Klein 《Scandinavian Journal of Statistics》2014,41(1):187-199
In this paper, we propose a general class of Gamma frailty transformation models for multivariate survival data. The transformation class includes the commonly used proportional hazards and proportional odds models. The proposed class also includes a family of cure rate models. Under an improper prior for the parameters, we establish propriety of the posterior distribution. A novel Gibbs sampling algorithm is developed for sampling from the observed data posterior distribution. A simulation study is conducted to examine the properties of the proposed methodology. An application to a data set from a cord blood transplantation study is also reported. 相似文献
960.
A simple, robust test for the autocorrelation parameter in an intervention time-series model (AB design) is proposed. It is analogous to the traditional tests and can easily be computed by using the freeware R. In the same way as traditional tests of autocorrelation are based on least squares (LS) fits of a linear model, our robust test is based on the highly efficient Wilcoxon fit of the linear model. We present the results of a Monte Carlo study which show that our robust test inherits the good efficiency properties of this Wilcoxon fit. Its empirical power is only slightly less than the empirical power of the least squares test over situations with normally distributed errors while it exhibited much more power over situations with error distributions having tails heavier than those of a normal distribution. It also showed robustness of validity over all null situations simulated. We also present the results of the application of our test to a real data set which illustrates the robustness of our test. 相似文献