Results 31 to 40 of about 420,917 (289)
Journal of Indian Association of Public Health Dentistry, 2017 Introduction: Biostatistics is a discipline concerned with how we ought to make decisions when analysing biomedical data. As statistics is desirable at every stage of research to obtain scientifically important information and reliable results, the ...
Gautami S Penmetsa +2 more
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Multicollinearity and misleading statistical results [PDF]
Korean Journal of Anesthesiology, 2019 Multicollinearity represents a high degree of linear intercorrelation between explanatory variables in a multiple regression model and leads to incorrect results of regression analyses. Diagnostic tools of multicollinearity include the variance inflation
Jong Hae Kim
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Delhi Journal of Ophthalmology, 2018 Statistics is that branch of science which deals with the collection, organization, analysis, and interpretation of numerical data. It is the study of the methods of collection, analysis, interpretation, presentation, organization, summarizing and ...
Jatinder Bali, Renu T. Bali, Y. K. Gupta
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Semiparametric regression on cumulative incidence function with interval-censored competing risks data and missing event types [PDF]
, 2021 Competing risk data are frequently interval-censored, that is, the exact event time is not observed but only known to lie between two examination time points such as clinic visits.
Yiannoutsos, Constantin T. +4 more
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FROZEN ROBUST MULTI-ARRAY ANALYSIS (fRMA) [PDF]
, 2009 Robust Multi-array Analysis (RMA) is the most widely used preprocessing algorithm for Affymetrix and Nimblegen gene-expression microarrays. RMA performs background correction, normalization, and summarization in a modular way.
Irizarry, Rafael A +5 more
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Workshop report: building biostatistics capacity in Sub-saharan Africa-taking action
The Pan African Medical Journal, 2015 To address the need for capacity development in biostatistics in the Sub-Saharan African region and to move recommendations from previous workshops into action, we brought together biostatisticians from the region to provide an opportunity to brainstorm ...
Rhoderick Machekano +4 more
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A Cox Model for Biostatistics of the Future [PDF]
, 2004 Professor Sir David R. Cox (DRC) is widely acknowledged as among the most important scientists of the second half of the twentieth century. He inherited the mantle of statistical science from Pearson and Fisher, advanced their ideas, and translated ...
Zeger, Scott L. +2 more
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Learning gaps among statistical competencies for clinical and translational science learners
Journal of Clinical and Translational Science, 2021 Introduction: Statistical literacy is essential in clinical and translational science (CTS). Statistical competencies have been published to guide coursework design and selection for graduate students in CTS. Here, we describe common elements of graduate
Robert A. Oster +10 more
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OnRAMP for Regulating Artificial Intelligence in Medical Products
Advanced Intelligent Systems, 2021 Medical artificial intelligence (AI) involves the application of machine learning (ML) algorithms to biomedical datasets to improve medical practices. Products incorporating medical AI require certification before deployment in most jurisdictions.
David C. Higgins
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Sample Size Estimation in Veterinary Epidemiologic Research
Frontiers in Veterinary Science, 2021 In the design of intervention and observational epidemiological studies sample size calculations are used to provide estimates of the minimum number of observations that need to be made to ensure that the stated objectives of a study are met ...
Mark A. Stevenson
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