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The latest content from StatisticsViews.http://www.statisticsviews.comExamining overlap of included studies in meta‐reviews: Guidance for using the corrected covered area index
http://www.statisticsviews.com/details/journalArticle/11204268/Examining-overlap-of-included-studies-in-metareviews-Guidance-for-using-the-corr.html
Overlap in meta‐reviews results from the use of multiple identical primary studies in similar reviews. It is an important area for research synthesists because overlap indicates the degree to which reviews address the same or different literatures of primary research. Current guidelines to address overlap suggest that assessing and documenting the degree of overlap in primary studies, calculated via the corrected covered area (CCA) is a promising method. Yet, the CCA is a simple percentage of...]]>2019-12-11T06:13:28ZPremature Deaths, Statistical Lives, and Years of Life Lost: Identification, Quantification, and Valuation of Mortality Risks
http://www.statisticsviews.com/details/journalArticle/11204269/Premature-Deaths-Statistical-Lives-and-Years-of-Life-Lost-Identification-Quantif.html
Abstract Mortality effects of exposure to air pollution and other environmental hazards are often described by the estimated number of “premature” or “attributable” deaths and the economic value of a reduction in exposure as the product of an estimate of “statistical lives saved” and a “value per statistical life.” These terms can be misleading because the number of deaths advanced by exposure cannot be determined from mortality data alone, whether from epidemiology or randomized trials (it is...]]>2019-12-10T13:16:55ZBurwalls Conference 2020
http://www.statisticsviews.com/details/event/11204137/Burwalls-Conference-2020.html
]]>2019-12-10T09:51:00ZSpecial issue of Statistica Neerlandia: Papers from the 7th annual Survival Analysis for Junior Researchers conference
http://www.statisticsviews.com/details/news/11204133/Special-issue-of-Statistica-Neerlandia-Papers-from-the-7th-annual-Survival-Analy.html
A special issue of Statistica Neerlandica featuring papers from the 7th annual Survival Analysis for Junior Researchers conference has just been published.
The issue is guest edited by Nan van Geloven and Maja Pohar Perme, and is available to read here.]]>2019-12-10T08:46:00ZFuzzy System Dynamics Risk Analysis (FuSDRA) of Autonomous Underwater Vehicle Operations in the Antarctic
http://www.statisticsviews.com/details/journalArticle/11202632/Fuzzy-System-Dynamics-Risk-Analysis-FuSDRA-of-Autonomous-Underwater-Vehicle-Oper.html
Abstract With the maturing of autonomous technology and better accessibility, there has been a growing interest in the use of autonomous underwater vehicles (AUVs). The deployment of AUVs for under‐ice marine science research in the Antarctic is one such example. However, a higher risk of AUV loss is present during such endeavors due to the extreme operating environment. To control the risk of loss, existing risk analyses approaches tend to focus more on the AUV's technical aspects and neglect...]]>2019-12-04T08:00:00ZFootball matches: Decision making in betting
http://www.statisticsviews.com/details/journalArticle/11202336/Football-matches-Decision-making-in-betting.html
Abstract The aim of this paper is to approach the teaching of the Poisson distribution in a friendly and amusing way. It constitutes a common practice to adopt the main probability distributions in order to predict results of sport events and to estimate the win return of betting activities (Chalikias 2009). In particular, by using the Poisson distribution, we can calculate the probability of the final score in a football match, and then we can compare this probability with the values that...]]>2019-12-04T02:29:57ZA novel approach for identifying and addressing case‐mix heterogeneity in individual participant data meta‐analysis
http://www.statisticsviews.com/details/journalArticle/11202335/A-novel-approach-for-identifying-and-addressing-casemix-heterogeneity-in-individ.html
Case‐mix heterogeneity across studies complicates meta‐analyses. As a result of this, treatments that are equally effective on patient subgroups may appear to have different effectiveness on patient populations with different case mix. It is therefore important that meta‐analyses be explicit for what patient population they describe the treatment effect. To achieve this, we develop a new approach for meta‐analysis of randomized clinical trials, which use individual patient data (IPD) from all...]]>2019-12-03T07:35:17ZOn variable ordination of modified Cholesky decomposition for estimating time‐varying covariance matrices
http://www.statisticsviews.com/details/journalArticle/11201990/On-variable-ordination-of-modified-Cholesky-decomposition-for-estimating-timevar.html
Summary Estimating time‐varying covariance matrices of the vector of interest is challenging both computationally and statistically due to a large number of constrained parameters. In this work, we consider an order‐averaged Cholesky‐log‐GARCH (OA‐CLGARCH) model for estimating time‐varying covariance matrices through the orthogonal transformations of the vector based on the modified Cholesky decomposition. The proposed method is to transform the vector at each time as a linear transformation...]]>2019-12-03T03:39:45ZRe‐identification in the Absence of Common Variables for Matching
http://www.statisticsviews.com/details/journalArticle/11201989/Reidentification-in-the-Absence-of-Common-Variables-for-Matching.html
Summary A basic concern in statistical disclosure limitation is the re‐identification of individuals in anonymised microdata. Linking against a second dataset that contains identifying information can result in a breach of confidentiality. Almost all linkage approaches are based on comparing the values of variables that are common to both datasets. It is tempting to think that if datasets contain no common variables, then there can be no risk of re‐identification. However, linkage has been...]]>2019-12-02T08:00:00ZA comparison of Bayesian synthesis approaches for studies comparing two means: A tutorial
http://www.statisticsviews.com/details/journalArticle/11201447/A-comparison-of-Bayesian-synthesis-approaches-for-studies-comparing-two-means-A-.html
Researchers often seek to synthesize results of multiple studies on the same topic to draw statistical or substantive conclusions and to estimate effect sizes that will inform power analyses for future research. The most popular synthesis approach is meta‐analysis. There have been few discussions and applications of other synthesis approaches. This tutorial illustrates and compares multiple Bayesian synthesis approaches (i.e., integrative data analyses, meta‐analyses, data fusion using...]]>2019-11-29T12:28:39Z