The Core, Periphery, and Beyond: Stock Market Comovements among EU and Non-EU Countries

We thank conference participants at the 2016 Financial Management Association and our discussant Fernando Moreira, and two anonymous referees for immensely helpful comments. We also thank Andrew Patton and James P. LeSage for sharing their MATLAB codes for computing quantile dependence. The authors of this paper are responsible for any errors or omissions. The Securities and Exchange Commission, as a matter of policy, disclaims responsibility for any private publication or statement by any of its employees. The views expressed herein are those of the authors and do not necessarily reflect the views of the Commission or the authors\u27 colleagues on the staff of the Commission

To what extent are we confident that tapentadol induces less constipation and other side effects than the other opioids in chronic pain patients? : A confidence evaluation in network meta-analysis

Open Access offered under Sage Agreement-waiting for decisionPeer reviewedPostprin

Service organizations, applying SAS no. 70, as amended with conforming changes as of May 1, 2005; Audit guide: Service organi

https://egrove.olemiss.edu/aicpa_indev/1609/thumbnail.jp

Service organizations, applying SAS no. 70, as amended with conforming changes as of May 1, 2004; Audit guide: Service organi

https://egrove.olemiss.edu/aicpa_indev/1608/thumbnail.jp

Service organizations, applying SAS no. 70, as amended with conforming changes as of March 1, 2008; Audit and accounting guide

https://egrove.olemiss.edu/aicpa_indev/2061/thumbnail.jp

Service organizations, applying SAS no. 70, as amended with conforming changes as of May 1, 2006; Audit guide: Service organi

https://egrove.olemiss.edu/aicpa_indev/1606/thumbnail.jp

Service organizations, applying SAS no. 70, as amended; Audit guide: Service organi

https://egrove.olemiss.edu/aicpa_indev/1607/thumbnail.jp

Service organizations, applying SAS no. 70, as amended with conforming changes as of May 1, 2009; Audit and accounting guide

https://egrove.olemiss.edu/aicpa_indev/2062/thumbnail.jp

The analysis of very small samples of repeated measurements II: a modified box correction

There is a need for appropriate methods for the analysis of very small samples of continuous repeated measurements. A key feature of such analyses is the role played by the covariance matrix of the repeated observations. When subjects are few it can be difficult to assess the fit of parsimonious structures for this matrix, while the use of an unstructured form may lead to a serious lack of power. The Kenward-Roger adjustment is now widely adopted as a means of providing an appropriate inferences in small samples, but does not perform adequately in very small samples. Adjusted tests based on the empirical sandwich estimator can be constructed that have good nominal properties, but are seriously underpowered. Further, when such data are incomplete, or unbalanced, or non-saturated mean models are used, exact distributional results do not exist that justify analyses with any sample size. In this paper, a modification of Box's correction applied to a linear model based $F$-statistic is developed for such small sample settings and is shown to have both the required nominal properties and acceptable power across a range of settings for repeated measurements