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91.
Carles Serrat Montserrat Rué Carmen Armero Xavier Piulachs Hèctor Perpiñán Anabel Forte 《Journal of applied statistics》2015,42(6):1223-1239
The paper describes the use of frequentist and Bayesian shared-parameter joint models of longitudinal measurements of prostate-specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an age-varying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of disease-free probabilities obtained using Bayesian inference highlight the potential of joint models to guide personalized risk-based screening strategies. 相似文献
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Charles Baden-Fuller Beno?t Demil Xavier Lecoq Ian MacMillan 《Long Range Planning》2010,43(2-3):143-145
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Philip RosenzweigAuthor vitae 《European Management Journal》1998,16(6):644-652
As a result of rapid foreign investment, many multinational firms now have workforces that are spread across continents and countries, and that include an increasingly complex blend of cultures and nationalities. Their challenge is to capture the benefits of a diverse workforce while also forging necessary consistency around the world. This article explores the concepts of diversity and consistency as they apply to multinational firms, and draws on examples from several leading multinationals to suggest how firms can better manage their global workforces. 相似文献
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Xavier De Luna 《Journal of applied statistics》1998,25(6):763-775
Polynomial autoregressions are usually considered to be unrealistic models for time series. However, this paper shows that they can successfully be used when the purpose of the time series study is to provide forecasts. A projection scheme inspired from projection pursuit regression and feedforward artificial neural networks is used in order to avoid an explosion of the number of parameters when considering a large number of lags. The estimation of the parameters of the projected polynomial autoregressions is a non-linear least-squares problem. A consistency result is proved. A simulation study shows that the naive use of the common final prediction error criterion is inappropriate to identify the best projected polynomial autoregression. An explanation of this phenomenon is given and a correction to the criterion is proposed. An important feature of the polynomial predictors introduced in this paper is their simple implementation, which allows for automatic use. This is illustrated with real data for the three-month US Treasury Bill. 相似文献
100.
Strategic Planning in Unstable Environments 总被引:1,自引:0,他引:1
Peter Brews Author VitaeAuthor Vitae 《Long Range Planning》2007,40(1):64-83