The Experts below are selected from a list of 3591 Experts worldwide ranked by ideXlab platform
Niansheng Tang - One of the best experts on this subject based on the ideXlab platform.
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Simultaneous Confidence Interval for assessing non inferiority with assay sensitivity in a three arm trial with binary endpoints
Pharmaceutical Statistics, 2020Co-Authors: Niansheng TangAbstract:A three-arm trial including an experimental treatment, an active reference treatment and a placebo is often used to assess the non-inferiority (NI) with assay sensitivity of an experimental treatment. Various hypothesis-test-based approaches via a fraction or pre-specified margin have been proposed to assess the NI with assay sensitivity in a three-arm trial. There is little work done on Confidence Interval in a three-arm trial. This paper develops a hybrid approach to construct Simultaneous Confidence Interval for assessing NI and assay sensitivity in a three-arm trial. For comparison, we present normal-approximation-based and bootstrap-resampling-based Simultaneous Confidence Intervals. Simulation studies evidence that the hybrid approach with the Wilson score statistic performs better than other approaches in terms of empirical coverage probability and mesial-non-coverage probability. An example is used to illustrate the proposed approaches.
Yaeji Lim - One of the best experts on this subject based on the ideXlab platform.
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Simultaneous Confidence Interval for quantile regression
Computational Statistics, 2015Co-Authors: Yaeji LimAbstract:This paper considers a problem of constructing Simultaneous Confidence Intervals for quantile regression. Recently, Krivobokova et al. (J Am Stat Assoc 105:852---863, 2010) provided Simultaneous Confidence Intervals for penalized spline estimator. However, it is well known that the conventional mean-based penalized spline and its Confidence Intervals collapse when data are not normally distributed such as skewed or heavy-tailed, and hence, the resultant Confidence Intervals further provide low coverage probability. To overcome this problem, this paper proposes a new approach that constructs Simultaneous Confidence Intervals for penalized quantile spline estimator, which yields a desired coverage probability. The results obtained from numerical experiments and real data validate the effectiveness of the proposed method.
John J Peterson - One of the best experts on this subject based on the ideXlab platform.
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a large sample Confidence band for a multi response ridge path
Quality and Reliability Engineering International, 2005Co-Authors: Rui Ding, Dennis K J Lin, John J PetersonAbstract:Ridge analysis in response surface methodology has received extensive discussion in the literature, while little is known for ridge analysis in the multi-response case. In this paper, the ridge path is investigated for multi-response surfaces and a large-sample Simultaneous Confidence Interval (Confidence band) for the ridge path is developed. Copyright © 2005 John Wiley & Sons, Ltd.
A G Belov - One of the best experts on this subject based on the ideXlab platform.
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modeling a Simultaneous Confidence band of the mean value of multiple responses with a rectangular domain for predictors
Moscow University Computational Mathematics and Cybernetics, 2018Co-Authors: A G BelovAbstract:The problem is considered of modeling Simultaneous Confidence Intervals for the mean values of multiple responses in a linear multivariate normal regression model with predictor variables defined in Intervals. To solve it, a numerical way of calculating the critical value that determines the Simultaneous Confidence Interval of a given level is used. Simultaneous Confidence Intervals are numerically modelled and analyzed by comparison for regression, the mean value of multiple responses, and individual observation.
Koon Shing Kwong - One of the best experts on this subject based on the ideXlab platform.
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on sample size and quick Simultaneous Confidence Interval estimations for multinomial proportions
Journal of Computational and Graphical Statistics, 1998Co-Authors: Koon Shing KwongAbstract:Abstract Asymptotically, sample proportions from a multinomial distribution converge in distribution to a multivariate normal distribution with a singular negative product correlation structure. Based on this result, we propose a new approach to estimate the sample size requirement for constructing quick Simultaneous Confidence Intervals (QSCI) for multinomial proportions. In addition, this new approach can be used to construct QSCI and provides a statistical justification to the reports of the opinion polling.