Article
Social Sciences, Mathematical Methods
Maren Eckert, Werner Vach
Summary: Eckert and Vach (2020) emphasized the importance of confidence and comparison regions as tools for visualizing uncertainty in two-dimensional estimates. These regions can be constructed using Wald or likelihood-ratio tests. The confcomptwo package in Stata enables users to draw both types of regions for a variety of two-dimensional estimation problems. The usefulness of confcomptwo is demonstrated through several examples.
Article
Environmental Sciences
Mark Berman
Summary: In recent years, many studies have focused on estimating the proportions of different material classes at the pixel level using multispectral sensor data. These estimations are important for monitoring environmental changes in urban and non-urban areas. However, few studies have assessed the accuracy of their methods. This paper presents a methodology for producing confidence intervals and joint confidence regions for proportions in linear mixture models, which provides valuable information for localizing the estimates. The methodology is illustrated using Landsat Thematic Mapper data from 1169 locations in Australia.
Article
Pharmacology & Pharmacy
Mai Zhou
Summary: Researchers suggest using restricted mean survival time to evaluate medical treatment outcomes when proportional hazards assumption is uncertain. They demonstrate statistical analysis for RMST and difference/ratio of two RMSTs, comparing advantages of new method over current method in R package survRM2, and providing a simulation.
JOURNAL OF BIOPHARMACEUTICAL STATISTICS
(2021)
Article
Biology
H. S. Battey, Peter Mccullagh
Summary: This paper provides detailed analytic insight into the poor assessment of the statistical significance of a variance component by the Wald statistic, pointing to an atypical geometry as the source of the aberration. It suggests using a suitable likelihood-ratio test for the assessment of variance components in complex situations.
Article
Business, Finance
Yaacov Kopeliovich, Kevin Shea
Summary: We derive a formula to compute confidence intervals for stress testing predictions and compare it with a hypothetical scenario bootstrap methodology through numerical examples.
FINANCE RESEARCH LETTERS
(2023)
Article
Statistics & Probability
Paul Kabaila, David Farchione
Summary: This study focuses on constructing confidence intervals with data-based widths for a linear regression model with orthogonal regressors and Gaussian random errors, particularly when dealing with sparsity in the regression parameter vector.
Article
Physics, Multidisciplinary
Xiuzhen Zhang, Riquan Zhang, Zhiping Lu
Summary: This article introduces two new empirical likelihood methods for long-memory time series models based on adjusted empirical likelihood and mean empirical likelihood. The Whittle likelihood is used to obtain a score function that can be considered as the estimating equation of the parameters of the long-memory time series model. An empirical likelihood ratio is derived, which is asymptotically chi-square distributed and can be used to construct confidence regions. Adding pseudo samples simultaneously eliminates the non-definition of the original empirical likelihood and enhances the coverage probability. Monte Carlo simulation is used to explore the finite sample properties of the empirical likelihood confidence regions, and some real data applications are conducted.
FRONTIERS IN PHYSICS
(2022)
Article
Computer Science, Theory & Methods
Samuel M. Fischer, Mark A. Lewis
Summary: The study presents a trust-region approach to compute profile likelihood confidence intervals, which achieves higher success rates and is among the quickest methods, making it applicable in many scenarios where earlier approaches are unreliable.
STATISTICS AND COMPUTING
(2021)
Article
Mathematics, Interdisciplinary Applications
Shu Fai Cheung, Ivan Jacob Agaloos Pesigan
Summary: There are three common types of confidence interval (CI) in SEM: Wald-type CI, bootstrapping CI, and LBCI. LBCI has advantages in coverage probabilities, hypothesis testing, computational intensity, and invariance to transformations. However, it is not widely available in popular SEM software packages. To address this limitation, an R package called semlbci is developed for forming LBCI in models fitted by lavaan, providing researchers with more options in forming CIs for parameters in SEM.
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
(2023)
Article
Operations Research & Management Science
Yongchao Liu, Jin Zhang
Summary: This paper aims to build confidence regions of the true solution to the SVIP problem when the SAA scheme is implemented. A new approach based on error bound conditions admitted by the SVIP is proposed, and statistical tools are employed to construct the asymptotic confidence regions of the solutions to SVIP.
Article
Statistics & Probability
Zhengyu Yang, Guo-Liang Tian, Xiaobin Liu, Chang-Xing Ma
Summary: This article discusses the challenges in analyzing data when comparing multiple groups with a control in medical research, focusing on adjusting for multiplicity and correlation by constructing asymptotic simultaneous confidence intervals for proportion differences. The coverage probabilities and widths of the proposed CIs are evaluated through Monte Carlo simulation studies, with methods illustrated using a real data example.
JOURNAL OF APPLIED STATISTICS
(2021)
Article
Statistics & Probability
Eric Beutner, Alexander Heinemann, Stephan Smeekes
Summary: This paper introduces a novel method for confidence intervals by employing a sample-split approach to address parameter uncertainty, which proves to be more practical than traditional methods in a simulation study.
ELECTRONIC JOURNAL OF STATISTICS
(2021)
Editorial Material
Statistics & Probability
Michael Lavine, Jan F. Bjornstad
Summary: Pawitan and Lee attempt to establish a connection between confidence and likelihood by introducing the concept of extended likelihood. However, the authors argue that the extended likelihood proposed is not correct and does not justify interpreting confidence as likelihood.
STATISTICAL SCIENCE
(2022)
Article
Veterinary Sciences
Peter Harsfalvi, Jeno Reiczigel
Summary: We introduce a novel confidence interval approach for estimating disease prevalence, specifically when sensitivity and specificity are derived from validation samples independent of the study sample. The new interval is based on profile likelihood and incorporates an adjustment to improve coverage probability. Through simulation, its coverage probability and expected length were compared to two existing methods, Lang and Reiczigel (2014) and Flor et al. (2020), displaying superior performance in terms of expected length and coverage probability over both competitors.
PREVENTIVE VETERINARY MEDICINE
(2023)
Article
Multidisciplinary Sciences
Mukhtar M. Salah, Essam A. Ahmed, Ziyad A. Alhussain, Hanan Haj Ahmed, M. El-Morshedy, M. S. Eliwa
Summary: This paper presents a method for estimating the parameters of the alpha power exponential distribution under type-II hybrid censored samples, comparing different estimation methods through simulation studies.
Article
Mathematics, Interdisciplinary Applications
Hao Wu, Johnny Lin
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
(2016)
Article
Behavioral Sciences
Yael Arbel, Hao Wu
Article
Mathematics, Interdisciplinary Applications
Fei Gu, Hao Wu
Article
Mathematics, Interdisciplinary Applications
Hao Wu
Correction
Mathematics, Interdisciplinary Applications
Hao Wu, Michael W. Browne
Article
Mathematics, Interdisciplinary Applications
Hao Wu, Ryne Estabrook
Article
Mathematics, Interdisciplinary Applications
Chuchu Cheng, Hao Wu
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
(2017)
Article
Health Care Sciences & Services
John P. Lalor, Hao Wu, Li Chen, Kathleen M. Mazor, Hong Yu
JOURNAL OF MEDICAL INTERNET RESEARCH
(2018)
Editorial Material
Mathematics, Interdisciplinary Applications
Chuchu Cheng, Hao Wu
MULTIVARIATE BEHAVIORAL RESEARCH
(2020)
Article
Health Care Sciences & Services
John P. Lalor, Wen Hu, Matthew Tran, Hao Wu, Kathleen M. Mazor, Hong Yu
Summary: The study assessed the efficacy of NoteAid for EHR note comprehension among participants in a community hospital setting and found that the use of NoteAid significantly improved EHR note comprehension in both community hospital and AMT samples. This demonstrates the generalizability of ComprehENotes as a test of EHR note comprehension and the effectiveness of NoteAid in improving EHR note comprehension.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Editorial Material
Mathematics, Interdisciplinary Applications
Selena Wang, Hao Wu, Jolynn Pek
MULTIVARIATE BEHAVIORAL RESEARCH
(2022)
Article
Computer Science, Information Systems
John P. Lalor, Hao Wu, Kathleen M. Mazor, Hong Yu
Summary: This study evaluated the effectiveness of NoteAid, a system that provides lay definitions for medical jargon terms in EHR notes, in improving health literacy among US Veterans. The results showed that NoteAid significantly improved comprehension for non-Veterans but not for Veterans, who already scored high on the test.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Mathematics, Interdisciplinary Applications
Hao Wu
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY
(2018)
Article
Psychology, Multidisciplinary
Jolynn Pek, Hao Wu
PSYCHOLOGICAL METHODS
(2018)