Results 41 to 50 of about 666,183 (322)
IEEE Access, 2023 Respiratory rate monitoring has become necessary for people with respiratory diseases, especially those living alone. Sudden changes in respiratory rate (RR) in these individuals may indicate a severe illness.
Soojeong Lee, Gangseong Lee
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PLoS ONE, 2011 Several research fields frequently deal with the analysis of diverse classification results of the same entities. This should imply an objective detection of overlaps and divergences between the formed clusters. The congruence between classifications can
Ana Severiano +4 more
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Do metabolic factors increase the risk of thyroid cancer? a Mendelian randomization study
Frontiers in Endocrinology, 2023 BackgroundEpidemiological studies emphasize the link between metabolic factors and thyroid cancer. Using Mendelian randomization (MR), we assessed the possible causal impact of metabolic factors on thyroid cancer for the first time.MethodsSummary ...
Weiwei Liang, FangFang Sun
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Robust Confidence Intervals for Effect Size in the Two-Group Case [PDF]
, 2005 The probability coverage of intervals involving robust estimates of effect size based on seven procedures was compared for asymmetrically trimming data in an independent two-groups design, and a method that symmetrically trims the data.
Algina, James +2 more
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Use of the bootstrap in analysing cost data from cluster randomised trials: some simulation results
BMC Health Services Research, 2004 Background This work has investigated under what conditions confidence intervals around the differences in mean costs from a cluster RCT are suitable for estimation using a commonly used cluster-adjusted bootstrap in preference to methods that utilise ...
Flynn Terry N, Peters Tim J
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Confidence Intervals For An Effect Size When Variances Are Not Equal [PDF]
, 2006 Confidence intervals must be robust in having nominal and actual probability coverage in close agreement. This article examined two ways of computing an effect size in a two-group problem: (a) the classic approach which divides the mean difference by a ...
Algina, James +2 more
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Confidence interval based parameter estimation--a new SOCR applet and activity. [PDF]
PLoS ONE, 2011 Many scientific investigations depend on obtaining data-driven, accurate, robust and computationally-tractable parameter estimates. In the face of unavoidable intrinsic variability, there are different algorithmic approaches, prior assumptions and ...
Nicolas Christou, Ivo D Dinov
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Robust Resampling Confidence Intervals for Empirical Variograms
Mathematical Geosciences, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Clark, Robert Graham +1 more
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A simple remedy for overprecision in judgment [PDF]
Judgment and Decision Making, 2010 Overprecision is the most robust type of overconfidence. We present a new method that significantly reduces this bias and offers insight into its underlying cause.
Uriel Haran +2 more
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Which Robust Regression Technique Is Appropriate Under Violated Assumptions? A Simulation Study
Methodology, 2023 Ordinary least squares (OLS) regression is widely employed for statistical prediction and theoretical explanation in psychology studies. However, OLS regression has a critical drawback: it becomes less accurate in the presence of outliers and non-random ...
Jaejin Kim, Johnson Ching-Hong Li
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