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Statistical Rigour (statistical + rigour)
Selected AbstractsMHC studies in nonmodel vertebrates: what have we learned about natural selection in 15 years?JOURNAL OF EVOLUTIONARY BIOLOGY, Issue 3 2003L. Bernatchez Abstract Elucidating how natural selection promotes local adaptation in interaction with migration, genetic drift and mutation is a central aim of evolutionary biology. While several conceptual and practical limitations are still restraining our ability to study these processes at the DNA level, genes of the major histocompatibility complex (MHC) offer several assets that make them unique candidates for this purpose. Yet, it is unclear what general conclusions can be drawn after 15 years of empirical research that documented MHC diversity in the wild. The general objective of this review is to complement earlier literature syntheses on this topic by focusing on MHC studies other than humans and mice. This review first revealed a strong taxonomic bias, whereby many more studies of MHC diversity in natural populations have dealt with mammals than all other vertebrate classes combined. Secondly, it confirmed that positive selection has a determinant role in shaping patterns of nucleotide diversity in MHC genes in all vertebrates studied. Yet, future tests of positive selection would greatly benefit from making better use of the increasing number of models potentially offering more statistical rigour and higher resolution in detecting the effect and form of selection. Thirdly, studies that compared patterns of MHC diversity within and among natural populations with neutral expectations have reported higher population differentiation at MHC than expected either under neutrality or simple models of balancing selection. Fourthly, several studies showed that MHC-dependent mate preference and kin recognition may provide selective factors maintaining polymorphism in wild outbred populations. However, they also showed that such reproductive mechanisms are complex and context-based. Fifthly, several studies provided evidence that MHC may significantly influence fitness, either by affecting reproductive success or progeny survival to pathogens infections. Overall, the evidence is compelling that the MHC currently represents the best system available in vertebrates to investigate how natural selection can promote local adaptation at the gene level despite the counteracting actions of migration and genetic drift. We conclude this review by proposing several directions where future research is needed. [source] Can the cause of aggregation be inferred from species distributions?OIKOS, Issue 1 2007Astrid J.A. Van Teeffelen Species distributions often show an aggregated pattern, which can be due to a number of endo- and exogenous factors. While autologistic models have been used for modelling such data with statistical rigour, little emphasis has been put on disentangling potential causes of aggregation. In this paper we ask whether it is possible to infer sources of aggregation in species distributions from a single set of occurrence data by comparing the performance of various autologistic models. We create simulated data sets, which show similar occupancy patterns, but differ in the process that causes the aggregation. We model the distribution of these data with various autologistic models, and show how the relative performance of the models is sensitive to the factor causing aggregation in the data. This information can be used when modelling real species data, where causes of aggregation are typically unknown. To illustrate, we use our approach to assess the potential causes of aggregation in data of seven bird species with contrasting statistical patterns. Our findings have important implications for conservation, as understanding the mechanisms that drive population fluctuations in space and time is critical for the development of effective management actions for long-term conservation. [source] Centralization and the relationship between volume and outcome in knee arthroplasty proceduresANZ JOURNAL OF SURGERY, Issue 4 2010Nicholas E. Marlow Abstract Background:, Centralization aims to reduce adverse patient outcomes by concentrating complex surgical procedures in specified hospitals. Objectives:, This review assessed the efficacy of centralization for knee arthroplasty by examining the relationship between hospital and surgeon volume and patient outcomes. Data Sources and Review Methods:, The systematic review identified studies using multiple databases, including Medline and Embase. Two independent researchers ensured studies met the inclusion criteria. Morbidity, mortality, length of stay, financial outcomes and statistical rigour were examined. Correlations between volume and outcome were reported. Results:, Twelve primary knee arthroplasty studies examined hospital volume, which was significantly associated with decreased morbidity (five of seven studies), mortality (two of five studies) and length of stay (two of three studies). Three primary knee arthroplasty studies examined surgeon volume, which was significantly associated with decreased morbidity (two of three studies), mortality (zero of two studies) and length of stay (one of one study). Two revision knee arthroplasty studies examined hospital volume. One study examined but did not test for significance between hospital volume and patient morbidity; both studies examined volume and patient mortality reporting inconclusive results; and one study reported no significant association between volume and length of stay. None of the revision knee arthroplasty studies examined surgeon volume. Conclusions:, Significant associations between increased hospital and surgeon volume and improved patient outcomes were reported. However, when these results were separated by arthroplasty type, the association appeared tenuous. Judgements regarding centralization of knee arthroplasty should be made with caution until further evidence is published. [source] Comment: Advancing public sector performance analysis by Professor C. J. HeinrichAPPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, Issue 5 2008V. T. Farewell Abstract Random assignment experiments are discussed by drawing parallels between issues in performance management studies and in clinical trials. In addition, the need for statistical rigour and for measures of uncertainty in performance management tools is highlighted. Copyright © 2008 John Wiley & Sons, Ltd. [source] | ||||||||||