70 resultados para Statisticians


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In this paper we set out what we consider to be a set of best practices for statisticians in the reporting of pharmaceutical industry-sponsored clinical trials. We make eight recommendations covering: author responsibilities and recognition; publication timing; conflicts of interest; freedom to act; full author access to data; trial registration and independent review. These recommendations are made in the context of the prominent role played by statisticians in the design, conduct, analysis and reporting of pharmaceutical sponsored trials and the perception of the reporting of these trials in the wider community.

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Contiene la organización y debates de la reunión que tuvo por objetivo examinar la capacidad de los países de la OECO de responder a las demandas de información estadística que se les solicita.

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The Continual Reassessment Method (CRM) has gained popularity since its proposal by O’Quigley et al. [1]. Many variations have been published and discussed in the statistical literature, but there has been little attention to making the design considerations accessible to non-statisticians. As a result, some clinicians or reviewers of clinical trials tend to be wary of the CRM due to safety concerns. This paper presents the CRM in a non-technical way, describing the original CRM with some of its modified versions. It also describes the specifications that define a CRM design, along with two simulated examples of CRMs for illustration.

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Mode of access: Internet.

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The first two tables are lithoprinted from the author's Generalizations of the normal curve of error. [1930]

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Mode of access: Internet.

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Part I is first edition; pt. II, first edition.

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Since researchers and academic institutions are increasingly evaluated based on their publication record in peer reviewed journals, it is crucial to assess how the statistics community perceives statistics journals. This study presents four subjective quality metrics of statistics journals as expressed by different segments of statisticians. Based on a worldwide sample of 2,190 statisticians, our findings indicate that the research interest and geographic origin of the researcher have a significant impact on journal perceptions, which are highly correlated with a journal's total number of citations.