Article
Statistics & Probability
Jae Kwang Kim, J. N. K. Rao, Zhonglei Wang
Summary: Standard statistical methods without considering the complexity of survey design can lead to erroneous inferences when applied to survey data. This article proposes a unified approach to hypothesis testing that does not require estimated covariance matrices or design effects. Instead, bootstrap approximations to quasi-likelihood ratio statistics and quasi-score statistics are used. The proposed method can be easily implemented for complex survey sampling without specific software. Simulation studies show that the proposed approach has Type I error rates closer to the nominal significance level compared to other methods.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2023)
Article
Mathematical & Computational Biology
Feifei Yan, Qing-Song Xu, Man-Lai Tang, Ziqi Chen
Summary: In this article, a profile likelihood ratio test (PLRT) based on the estimated error density for the multiple linear regression model is developed, which outperforms existing likelihood ratio tests in terms of type I error rates, powers, performance in the absence of error moments, and correct model selection in multiple testing problems. The proposed PLRT is illustrated with analysis of mammalian eye gene expression dataset and concrete compressive strength dataset.
STATISTICS IN MEDICINE
(2021)
Article
Biology
Yinqiu He, Bo Meng, Zhenghao Zeng, Gongjun Xu
Summary: Research has found that new approximations proposed for high-dimensional data perform better in accuracy, but there still lacks statistical guidance on how to choose between traditional and new approximation methods.
Article
Mathematics, Applied
Zhiming Li, Changxing Ma
Summary: This paper investigates the statistical inference for the odds ratio of two proportions in bilateral correlated data, proposing three test procedures and four confidence interval constructions. Experimental results show that the score test is more robust and has higher power compared to other tests, with the score confidence interval having a shorter interval width and a coverage probability closer to 0.95.
Article
Engineering, Electrical & Electronic
Xinchen Jing, Hongtao Su, Congyue Jia, Zhi Mao, Lu Shen
Summary: This paper addresses the detection of point-like target fusion in a partially homogeneous environment using distributed MIMO radar. A hybrid-order Gaussian (HOG) model is employed to deal with imperfect waveform separation, and two adaptive detectors named HOG-GLRT and HOG-Wald are developed based on the GLRT and Wald test, respectively. Additionally, two modified fusion detectors MHOG-GLRT and MHOG-Wald are proposed to handle the problem of SNR diversity. Numerical simulation results demonstrate that HOG-GLRT is sensitive to waveform residuals, while HOG-Wald exhibits strong robustness. Moreover, MHOG-GLRT and MHOG-Wald are effective in extreme SNR diversity scenarios.
Article
Computer Science, Artificial Intelligence
Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J. Evans
Summary: This paper introduces robust variants of Wald, Rao and LR tests for detecting a signal subspace, which can adjust the trade-off between robustness and power using a single hyperparameter alpha. It is shown that when alpha -> 1, these tests are equivalent to their classical counterparts.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Multidisciplinary Sciences
Abdulla Mamun, Sudhir Paul
Summary: The problem of model selection in regression analysis has been well studied through methods like forward selection, backward elimination, and stepwise selection. This paper aims to examine the properties of these procedures in generalized linear regression models, with the normal linear regression model as a special case. The score test is used as the main tool, while other large sample tests such as the F test, likelihood ratio test, and Wald test, as well as AIC and BIC, are included for comparison. Simulation studies are conducted to evaluate the properties of these procedures for symmetric and asymmetric distributions, including normal, Poisson, and binomial regression models. Extensions for skewed distributions and over-dispersed Poisson and binomial regression models are also evaluated. Two health datasets are analyzed using these methods.
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
Engineering, Electrical & Electronic
Louis Scharf, Yuan Wang
Summary: In this paper, partial coherence is used to evaluate Granger-Geweke (GG) causality of one signal sequence on another. The key idea is to establish a connection between questions of GG causality and questions of partial coherence. By using a scale-invariant partial coherence statistic, the paper resolves the question of GG causality, which is demonstrated to be a likelihood ratio with a null distribution of Wilks Lambda. Numerical experiments validate the application of partial coherence to the resolution of Granger causal influence, without depending on a generative model for causality.
Article
Chemistry, Analytical
Kaiming Xu, Yunkai Deng, Zhongjun Yu
Summary: This paper discusses the challenges of target detection in unknown interference and the degradation of detection performance in radar systems caused by interference. By modeling the interference and designing effective detectors, the performance of target detection can be improved.
Article
Statistics & Probability
Subhamoy Pal, Rong Luo, Subhash Bagui, Sudhir Paul
Summary: The intraclass correlation coefficient rho is used to measure the resemblance among family members regarding biological or psychological attributes. This study fills a gap in the literature by developing a simple and powerful Wald test for testing the significance of rho.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
(2021)
Article
Health Care Sciences & Services
Joshua R. Nugent, Ken P. Kleinman
Summary: Using simulations with a random-intercept LMM structure, this study examines Type I error rates of LRT and Wald test with different degrees of freedom choices across varying combinations of cluster size, number of clusters, and ICC. Results indicate that the LRT may be anti-conservative in certain scenarios, while Wald tests with specific DF methods can maintain Type I error control.
BMC MEDICAL RESEARCH METHODOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Xinchen Jing, Hongtao Su, Lu Shen, Zhi Mao, Congyue Jia
Summary: This paper focuses on the adaptive detection of point-like targets under clutter and noise cover pulse (NCP) jamming. Different detectors such as NCP-GLRT, NCP-Wald, and NCP-Rao are designed based on generalized likelihood ratio test, Wald, and Rao criteria. Furthermore, a modified detector called NCP-MRao is proposed to improve the degraded detection performance of NCP-Rao. The numerical simulation results demonstrate that the proposed detector outperforms analogous counterparts in terms of detection performance.
Article
Social Sciences, Interdisciplinary
Rahmtalla Yousif Yagoub, Hussein Yousif Eledum, Atif Ali Yassin
Summary: The main objective of this article is to use the logistic regression model to identify factors influencing academic tripping at the University of Tabuk. The study found that the educational and academic factors, as well as family and economic factors, were the most important factors affecting student's academic tripping. These factors include mismatched speciality, difficulty understanding lectures, academic workload, participation in extracurricular activities, differences in educational systems, and irregular college bursary.
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
Neurosciences
Lance M. Rappaport, Michael D. Hunter, Jennifer J. Russell, Gilbert Pinard, Pierre Bleau, D. S. Moskowitz
Summary: This study suggests that interpersonal behavior and affect may be mechanisms of action for serotonergic treatment of social anxiety disorder. Prosocial behavior and positive affect increase during serotonergic treatment, while modulating agreeable behavior, positive affect, and negative affect may partially explain and refine clinical intervention in individuals' daily lives.
JOURNAL OF PSYCHIATRY & NEUROSCIENCE
(2021)
Article
Psychology, Clinical
Lance M. Rappaport, Nicole Di Nardo, Melissa A. Brotman, Daniel S. Pine, Ellen Leibenluft, Roxann Roberson-Nay, John M. Hettema
Summary: The study found that symptoms of generalized anxiety disorder are associated with more accurate recognition of happiness and fear expressions, while symptoms of depression and separation anxiety disorder are associated with less accurate recognition of facial emotions.
JOURNAL OF ANXIETY DISORDERS
(2021)
Article
Psychology, Clinical
Rachel M. Ranney, Erin Berenz, Lance M. Rappaport, Ananda Amstadter, Danielle Dick
Summary: In a high-risk sample of college students, anxiety sensitivity (AS) and distress tolerance (DT) predict changes in internalizing symptoms (depression and anxiety) beyond the effects of neuroticism.
COGNITIVE THERAPY AND RESEARCH
(2022)
Article
Substance Abuse
Alexandria M. Choate, Claire Gorey, Lance M. Rappaport, Brenton M. Wiernik, Marina A. Bornovalova
Summary: The study found that participants, especially young men, with poor self-control and emotional regulation are more likely to terminate SUD treatment prematurely. However, for those with high levels of negative emotionality, SIDI may have a positive impact on enhancing treatment completion rates.
DRUG AND ALCOHOL DEPENDENCE
(2021)
Article
Anesthesiology
Marco Battaglia, Gabrielle Garon-Carrier, Lance Rappaport, Mara Brendgen, Ginette Dionne, Frank Vitaro, Richard E. Tremblay, Michel Boivin
Summary: Adolescent pain is common and continues into adulthood, and defining its construct through empirical research can help early detection of persistent pain trajectories. This study found that back pain is consistently associated with frequent adolescent pain trajectory, and it has good sensitivity in predicting the trajectory.
Article
Psychology, Educational
Lance M. Rappaport, Shannon E. Cusack, Christina M. Sheerin, Ananda B. Amstadter
Summary: The study found that undergraduate students with elevated symptoms of PTSD are at higher risk of binge drinking, supporting the self-medication model. Binge drinking was more likely on weekends and on days with elevated positive affect. There was no significant association between binge drinking and concurrent depressive or general anxiety symptoms, while PTSD symptoms were not significantly associated with cannabis or other substance use.
JOURNAL OF COUNSELING PSYCHOLOGY
(2021)
Article
Psychology, Clinical
Lance L. Hawley, Lance M. Rappaport, Christine A. Padesky, Steven D. Hollon, Enza Mancuso, Judith M. Laposa, Karen Brozina, Zindel V. Segal
Summary: This study examined whether personality vulnerability, specifically self-critical perfectionism or dependency, can predict the trajectory, variability, and instability of symptoms during cognitive behaviour therapy for depression. Results indicated that higher baseline self-critical perfectionism was associated with lower likelihood of symptom improvement over time. Additionally, self-critical perfectionism was found to impact the variability and acceleration of depression symptoms.
BRITISH JOURNAL OF CLINICAL PSYCHOLOGY
(2022)
Article
Psychology, Developmental
Lance M. Rappaport, Alexandra Mactavish, Carli Mastronardi, Kimberley A. Babb, Rosanne Menna, Ananda B. Amstadter, Marco Battaglia
Summary: Multiple reviews have shown that the global COVID-19 pandemic has had a broad and pervasive initial impact on the mental health of children, and they may be particularly vulnerable to long-term psychiatric effects. However, there is limited longitudinal research on the persistence or changes in children's distress or psychiatric symptoms.
EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
(2022)
Article
Health Care Sciences & Services
Gaurav Sharma, Lisa Schlosser, Brett D. M. Jones, Daniel M. Blumberger, David Gratzer, M. Omair Husain, Benoit H. Mulsant, Lance Rappaport, Vicky Stergiopoulos, Muhammad Ishrat Husain
Summary: Psychiatric inpatients often lack access to psychotherapeutic education and anxiety management skills. This study aimed to assess the feasibility and acceptability of using the MindShift CBT app for managing anxiety symptoms in severely ill psychiatric inpatients. The results showed that app-based interventions may be feasible and acceptable for acutely unwell inpatients, but further study is needed.
JMIR FORMATIVE RESEARCH
(2022)
Article
Psychology, Clinical
Haya Fatimah, Lance M. Rappaport, Marina A. Bornovalova
Summary: In contrast to latent variable models, network theory proposes that symptoms of psychopathology co-occur because of direct associations among them. This study examined how symptoms of borderline personality disorder, depression, and anxiety reinforce each other over time and identified the most influential symptoms. The results suggest that cognitive symptoms and dissociation exert the strongest influence on the symptom networks.
PERSONALITY DISORDERS-THEORY RESEARCH AND TREATMENT
(2023)
Article
Psychiatry
Kristin M. Davis, Katherine Knauft, Lena Lewis, Michael Petriello, Lauren Petrick, Francesca Luca, Nataria T. Joseph, Heather Fritz, Malcolm Cutchin, Lance Rappaport, Philip Levy, Christopher G. Engeland, Samuele Zilioli
Summary: The Heart of Detroit Study aims to identify and model the biopsychosocial pathways that influence cardiovascular disease risk in a sample of urban, middle-aged, and older African American adults. The study will collect data on biomarkers of stress, inflammation, and cardiovascular surrogate endpoints, as well as ecological momentary assessments of stress, affect, and health behaviors. The findings will guide the design of time-sensitive, culturally tailored interventions to reduce racial disparities in cardiovascular disease risk.
Article
Psychiatry
Alexandra Mactavish, Carli Mastronardi, Rosanne Menna, Kimberley A. Babb, Marco Battaglia, Ananda B. Amstadter, Lance M. Rappaport
Summary: The study found that children's well-being and psychological distress worsened during the pandemic according to reports from children and parents. Child-perceived social support from family and friends was associated with lower symptom severity and attenuated increase in psychological distress.
JOURNAL OF THE CANADIAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY
(2021)
Article
Psychology, Clinical
Rachel Ranney, Shiva Edalatian Zakeri, Salpi Kevorkian, Lance Rappaport, Nadia Chowdhury, Ananda Amstadter, Danielle Dick, Erin C. Berenz
Summary: The study found that male sex, higher trauma load, and higher PTSD symptom severity were associated with higher alcohol consumption and binge drinking episodes. However, distress tolerance was not associated with alcohol outcomes when considering PTSD symptom severity. The interaction of PTSD symptom severity and distress tolerance was not significantly related to alcohol consumption or binge drinking.
JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT
(2021)
Article
Psychology, Clinical
Jun Qi, Lance M. Rappaport, Jennifer Cecilione, John M. Hettema, Roxann Roberson-Nay
Summary: In adolescents, anxiety sensitivity showed broad and persistent associations with the risk of internalizing disorders, while distress tolerance, specifically regarding cognitive distress, was only related to elevated concurrent anxiety symptoms.
JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY
(2021)
Article
Psychology, Clinical
Lance M. Rappaport, Dever M. Carney, Melissa A. Brotman, Ellen Leibenluft, Daniel S. Pine, Roxann Roberson-Nay, John M. Hettema
JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY
(2020)
