Results 1 to 10 of about 73,585 (174)
Impact of Methodological Assumptions and Covariates on the Cutoff Estimation in ROC Analysis. [PDF]
Biom JABSTRACT The receiver operating characteristic (ROC) curve stands as a cornerstone in assessing the efficacy of biomarkers for disease diagnosis. Beyond merely evaluating performance, it provides with an optimal cutoff for biomarker values, crucial for disease categorization.
Ghosal S.
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Between- and Within-Cluster Spearman Rank Correlations. [PDF]
Stat MedABSTRACT Clustered data are common in practice. Clustering arises when subjects are measured repeatedly, or subjects are nested in groups (e.g., households, schools). It is often of interest to evaluate the correlation between two variables with clustered data.
Tu S, Li C, Shepherd BE.
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Bioequivalence Design With Sampling Distribution Segments. [PDF]
Stat MedABSTRACT In bioequivalence design, power analyses dictate how much data must be collected to detect the absence of clinically important effects. Power is computed as a tail probability in the sampling distribution of the pertinent test statistics. When these test statistics cannot be constructed from pivotal quantities, their sampling distributions are
Hagar L, Stevens NT.
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Statistical Papers, 2023 Nonparametric confidence distributions estimate statistical functionals by a distribution function on the parameter space, instead of the classical point or interval estimators.
Jonas Beck, A. Bathke
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Communications in Mathematical Biology and Neuroscience, 2022 In this paper, we provide a theoretical discussion on estimating confidence interval of parameters in a multiresponse multipredictor semiparametric regression (MMSR) model for longitudinal data.
M. Setyawati, N. Chamidah, A. Kurniawan
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JOURNAL OF CURRENT SCIENCE AND TECHNOLOGY, 2023 Recently, the zero-truncated Poisson-Lindley distribution has been proposed for studying count data containing non-zero values. However, the nonparametric bootstrap confidence interval estimation of the population mean has not yet been studied.
Wannaphon Suriyakat +1 more
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WIREs Data Mining and Knowledge Discovery, Volume 13, Issue 1, January/February 2023., 2023 Performance of GAMLSS against some machine learning algorithms. Abstract The advent of technological developments is allowing to gather large amounts of data in several research fields. Learning analytics (LA)/educational data mining has access to big observational unstructured data captured from educational settings and relies mostly on unsupervised ...
Fernando Marmolejo‐Ramos +11 more
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Pharmaceutical statistics, 2022 Data on the Likert scale are ubiquitous in medical research, including randomized trials. Statistical analysis of such data may be conducted using the means of raw scores or the rank information of the scores.
G. Zou, Lily Zou, Shi-Fang Qiu
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Communications in Mathematical Biology and Neuroscience, 2022 In this paper, we describe a theoretical discussion about confidence intervals for longitudinal data based on local linear estimator. The confidence interval represents the range of possible values in the estimating process.
Chamidah N. Nidhomuddin, A. Kurniawan
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IOP Conference Series: Materials Science and Engineering, 2023 This paper deals with the statistical variability of fatigue damage in random loadings as caused by the inherent randomness of the loading. It examines the use of a nonparametric method based on fractional order statistics as a tool for constructing ...
D. Benasciutti, J. Marques
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