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Background: The association between frailty and older patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) is unclear. Therefore, we conducted a systematic review and meta‐analysis to investigate the prevalence of frailty in older patients with AMI following PCI, and determine the relationship between frailty and adverse outcomes in these patients. Hypothesis: Older patients with AMI have a higher prevalence of frailty after PCI, and the frailty in these patients increases the risk of adverse outcomes. Methods: A comprehensive search of the PubMed, Cochrane, Ovid (Medline), Ovid (Embase), and Web of Science databases was performed for articles published until October 2021. A meta‐analysis was performed using stata12.0 software. A random‐effects model was used when I2 was greater than 50%; otherwise, a fixed‐effects model was used. Results: There were a total of 274,976 older patients in the included studies. Nine studies investigated the prevalence of frailty in older patients with AMI after PCI, with an overall prevalence of 39% (95% confidence interval [CI]: 18%–60%, p <.001). Six studies included adverse outcomes of frailty in older patients with AMI after PCI, including all‐cause mortality (hazard ratio [HR] = 2.29, 95% CI: 1.65–3.16, p =.285), rehospitalization (HR = 2.53, 95% CI: 1.38–4.63), and in‐hospital major bleeding (HR = 1.93, 95% CI: 1.29–2.90, p =.825). Conclusion: The frailty prevalence is increased in older patients with AMI after PCI, especially in ST‐segment elevation myocardial infarction (STEMI). AMI with frailty after PCI is more likely to be associated with worse clinical outcomes, such as death, bleeding, and rehospitalization. [ABSTRACT FROM AUTHOR]

Much of the research on multiple comparison and simultaneous inference in the past 60 years or so has been for the comparisons of several population means. Spurrier seems to have been the first to investigate multiple comparisons of several simple linear regression lines using simultaneous confidence bands. In this paper, we extend the work of Liu et al. for finite comparisons of several univariate linear regression models using simultaneous confidence bands to finite comparisons of several multivariate linear regression models using simultaneous confidence tubes. We show how simultaneous confidence tubes can be constructed to allow more informative inferences for the comparison of several multivariate linear regression models than the current approach of hypotheses testing. The methods are illustrated with examples. [ABSTRACT FROM AUTHOR]

Benjamini and Yekutieli () introduced the concept of the false coverage-statement rate (FCR) to account for selection when the confidence intervals (CIs) are constructed only for the selected parameters. Dose-response analysis in dose-response microarray experiments is conducted only for genes having monotone dose-response relationship, which is a selection problem. In this paper, we consider multiple CIs for the mean gene expression difference between the highest dose and control in monotone dose-response microarray experiments for selected parameters adjusted for the FCR. A simulation study is conducted to study the performance of the method proposed. The method is applied to a real dose-response microarray experiment with 16, 998 genes for illustration. [ABSTRACT FROM AUTHOR]

It is of great interest to find the minimum effective dose (MED) in dose-response studies. A sequence of decreasing null hypotheses to find the MED is formulated under the assumption of nondecreasing dose response means. A step-up multiple test procedure that controls the familywise error rate (FWER) is constructed based on the maximum likelihood estimators for the monotone normal means. When the MED is equal to one, the proposed test is uniformly more powerful than Hsu and Berger’s test (1999). Also, a simulation study shows a substantial power improvement for the proposed test over four competitors. Three R-codes are provided in Supplemental Materials for this article. Go to the publishers online edition ofJournal of Biopharmaceutical Statisticsto view the files. [ABSTRACT FROM PUBLISHER]

Risk assessment studies where human, animal or ecological data are used to set safe low dose levels of a toxic agent are challenging as study information is limited to high dose levels of the agent. Simultaneous hyperbolic confidence bands for low-dose risk estimation with quantal data have been proposed in the literature. In this paper, a new method using three-segment confidence bands to construct simultaneous upper confidence limits on extra risks and simultaneous lower bounds on the benchmark dose for quantal data is proposed. The proposed method is illustrated with a real data application and simulation studies. [ABSTRACT FROM AUTHOR]

Assesses the journalism education in China. Developments in journalism education; Re-adjustment of colleges and departments of universities; Orientation of learning among the students.