Article
Mathematical & Computational Biology
Megha Joshi, James E. Pustejovsky, S. Natasha Beretvas
Summary: Meta-analytic reviews in social science research often include multiple effect size estimates per study, leading to dependence in the estimates. An alternative method called cluster wild bootstrapping has been evaluated and shown to maintain adequate error rates and provide more power compared to existing small-sample correction methods, particularly for multiple-contrast hypothesis tests.
RESEARCH SYNTHESIS METHODS
(2022)
Article
Psychology, Multidisciplinary
Melissa A. Rodgers, James E. Pustejovsky
Summary: Selective reporting of statistically significant results in primary studies can distort meta-analytic findings. Existing methods for detecting this problem do not account for statistically dependent effect size estimates from primary studies, highlighting the need for further investigation. Tests that incorporate techniques to handle dependent effect sizes show promise in controlling false positives rates, but have limited power to detect selective reporting biases unless a majority of effect sizes are statistically significant. Future work is needed to enhance and expand these methods.
PSYCHOLOGICAL METHODS
(2021)
Review
Psychology, Clinical
Chunliang Feng, Wesley K. Thompson, Martin P. Paulus
Summary: The meta-analysis found that current brain imaging measures account for a smaller proportion of interindividual variance in affective symptoms than previously reported. The results suggest the need for large-sample clinical studies and new statistical and theoretical models to better capture systematic variance in brain-affective symptom relationships.
DEPRESSION AND ANXIETY
(2022)
Article
Mathematics, Interdisciplinary Applications
Heinz Holling, Katrin Jansen, Walailuck Bohning, Dankmar Bohning, Susan Martin, Patarawan Sangnawakij
Summary: The paper outlines various approaches for dealing with meta-analyses of count outcome data, with emphasis on advanced models for handling low and zero count studies, and investigates the performance and capability of discrete mixture models in estimating effect heterogeneity through a simulation study. The approaches are exemplified using a meta-analytic case study on the acceptance of bibliotherapy.
Review
Clinical Neurology
Sophie B. Haywood, Penelope Hasking, Mark E. Boyes
Summary: Non-suicidal self-injury (NSSI) refers to intentional and deliberate damage to an individual's own body tissue without the intent to suicide. Individuals with higher levels of experiential avoidance are more likely to have a history of NSSI. This study systematically reviewed and meta-analyzed studies examining the associations between experiential avoidance and self-injury.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Mathematical & Computational Biology
Mushan Li, Yanyuan Ma
Summary: Accurate assessment of the mean-variance relation is crucial in biomedical research. To address the unavailability of true mean and true variance in most biomedical data, we propose a semiparametric estimator that accounts for measurement error and model error, and uses a mixture model to handle different mean-variance relations. Simulation studies and data application demonstrate the effectiveness of the proposed method.
STATISTICS IN MEDICINE
(2023)
Article
Automation & Control Systems
Jing Wang, Gang Hao
Summary: This study analyzes the impact of system parameters on mean squared error (MSE) in nonlinear systems with uncertain system parameters and proposes an innovative robust estimation algorithm based on analysis results and prior probability statistics. The effectiveness of the proposed algorithm is verified through three examples.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Ecology
Shinichi Nakagawa, Daniel W. A. Noble, Malgorzata Lagisz, Rebecca Spake, Wolfgang Viechtbauer, Alistair M. Senior
Summary: The log response ratio (lnRR) is commonly used in ecology meta-analysis, but missing standard deviations (SDs) pose a challenge in estimating the sampling variance. We propose a new method using weighted average coefficient of variation (CV) from studies reporting SDs to address this issue. Our results show that using the average CV to estimate sampling variances for all observations, regardless of missingness, performs better than the conventional approach using individual study-specific CV with complete data. This approach is broadly applicable and can be implemented in all lnRR meta-analyses.
Article
Biochemical Research Methods
Mohammad A. Makrooni, Donal O'Shea, Paul Geeleher, Cathal Seoighe
Summary: Gene set analysis (GSA) is a common step in genome-scale studies that can reveal insights not apparent from individual gene analysis. This study presents a unified framework for GSA that fits effect size distributions and tests for differences between gene sets. The approach takes into account uncertainty in effect size estimates and provides significant gains in performance over existing methods, as demonstrated by simulation and real data analysis.
PLOS COMPUTATIONAL BIOLOGY
(2022)
Review
Clinical Neurology
Shaohua Lyu, Claire Shuiqing Zhang, Xinfeng Guo, Anthony Lin Zhang, Jingbo Sun, Genghang Chen, Charlie Changli Xue, Xiaodong Luo
Summary: Oral Chinese herbal medicine appears to be more effective than placebo in reducing migraine frequency and pain severity. Greater treatment effects were associated with longer treatment duration, and it was well tolerated.
FRONTIERS IN NEUROLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohammad Shoaib Shahriar
Summary: Accurate estimation of voltage magnitudes, angles, and other states in the modern power system is crucial for efficient monitoring. This paper introduces a robust estimator called LMR, which can eliminate faulty data and improve estimation performance. By suggesting the use of load-flow calculations to select the estimator's parameters, the estimation accuracy is further enhanced. Simulation tests demonstrate the robustness of the suggested estimator.
ADVANCES IN ENGINEERING SOFTWARE
(2023)
Article
Statistics & Probability
L. Comminges, O. Collier, M. Ndaoud, A. B. Tsybakov
Summary: This paper discusses the estimation of the target vector, its l(2)-norm, and the noise variance in the sparse vector model, with a focus on adaptive estimation rates in different scenarios and the impact of noise distribution on the rates.
ANNALS OF STATISTICS
(2021)
Article
Computer Science, Artificial Intelligence
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Summary: PCA is a powerful unsupervised dimensionality reduction algorithm that cleverly combines reconstruction error and projection variance to learn projection matrix accurately. It uses '2-norm as the evaluation criterion and has rotation invariance. It also enhances robustness and anomaly detection ability through binary weight design and employs an efficient iterative optimization algorithm to solve the problem. Extensive experimental results show that our model outperforms state-of-the-art PCA methods.
Article
Mathematical & Computational Biology
Elena Kulinskaya, Eung Yaw Mah
Summary: The study investigates the properties of cumulative meta-analysis (CMA) and proposes a two-stage CMA method to improve its lack of power in detecting temporal trends. The results suggest that at least 15-20 studies are needed for the practical use of CMA in detecting time-varying evidence.
RESEARCH SYNTHESIS METHODS
(2022)
Article
Fisheries
Mary Akers, Henry Quinlan, Andrew Johnson, Edward Baker, Amy Welsh
Summary: The objective of this study was to compare paternal representation and genetic diversity between the two stocking strategies. Parentage analysis based on genetic data determined that none of the family groups in the hatchery had equal paternal representation, while wild-produced offspring had equal paternal representation. Despite the larger number of breeders contributing to the wild-caught larvae, there was no significant difference in genetic diversity between the wild-caught larvae and representative hatchery-produced offspring.
Review
Substance Abuse
P. Priscilla Lui, Michael Chmielewski, Mayson Trujillo, Joseph Morris, Terri D. Pigott
Summary: The study found that conscientiousness and agreeableness were negatively correlated with alcohol consumption, risky drinking, and negative consequences. Narrowband traits such as deliberation, dutifulness, compliance, and straightforwardness were uniquely associated with alcohol use outcomes. Extraversion, specifically excitement seeking, was correlated with alcohol consumption, while neuroticism, specifically impulsiveness and angry hostility, was correlated with negative drinking-related consequences.
ALCOHOL AND ALCOHOLISM
(2022)
Review
Psychology, Mathematical
Kinnari Atit, Jason Richard Power, Terri Pigott, Jihyun Lee, Elyssa A. Geer, David H. Uttal, Colleen M. Ganley, Sheryl A. Sorby
Summary: Recent research has focused on the relationship between spatial skills and mathematical skills. The findings show a positive moderate association between the two skills, with gender and grade-level not significantly affecting this relationship. Fluid reasoning and verbal skills mediate the relationship between spatial skills and mathematical skills, suggesting a unique connection between the two.
PSYCHONOMIC BULLETIN & REVIEW
(2022)
Article
Education & Educational Research
Jonte A. Myers, Bradley S. Witzel, Sarah R. Powell, Hongli Li, Terri D. Pigott, Yan P. Xin, Elizabeth M. Hughes
Summary: This study conducted a meta-analysis of 52 studies to examine the effect of interventions on improving word-problem performance in elementary school students with mathematics difficulties. The results showed a significant and positive effect size, with several factors explaining the heterogeneity in effects across studies.
REVIEW OF EDUCATIONAL RESEARCH
(2022)
Review
Education & Educational Research
Joseph A. Taylor, Terri Pigott, Ryan Williams
Summary: This article discusses statistical approaches to improve the precision and comparability of effect sizes in education research through meta-analyses. It focuses on a standardized mean difference effect size adjusted for baseline differences and total variance. The article highlights the utility of covariate adjustment and the importance of standardizing effects on total variance accounting for variation at multiple levels.
EDUCATIONAL RESEARCHER
(2022)
Review
Criminology & Penology
NaeHyung Lee, Terri Deocampo Pigott, Ashley Watson, Katherine Reuben, Kathryn O'Hara, Greta Massetti, Xiangming Fang, Shannon Self-Brown
Summary: This scoping review examines the literature on polyvictimization and health outcomes, highlighting the varied constructions of polyvictimization and identifying gaps in knowledge. The findings emphasize the need for a standardized definition of polyvictimization and suggest specific health outcomes that should be investigated further. The study also underscores the importance of resilience and coping education for childhood polyvictims.
TRAUMA VIOLENCE & ABUSE
(2023)
Review
Psychology, Developmental
Jay B. Ganz, James E. Pustejovsky, Joe Reichle, Kimberly J. Vannest, Margaret Foster, April N. Haas, Lauren M. Pierson, Sanikan Wattanawongwan, Armando Bernal, Man Chen, Rachel Skov, S. D. Smith
Summary: Communication is an essential skill for children with autism or intellectual and developmental disabilities. This meta-analysis investigated the effectiveness of augmentative and alternative communication interventions for these children. The results showed that these interventions were effective in improving communication skills, but instructional context variables did not significantly predict intervention effectiveness.
REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2023)
Review
Audiology & Speech-Language Pathology
J. B. Ganz, James E. Pustejovsky, Joe Reichle, Kimberly J. Vannest, Margaret Foster, Lauren M. Pierson, Sanikan Wattanawongwan, Armando J. Bernal, Man Chen, April N. Haas, Ching-Yi Liao, Mary Rose Sallese, Rachel Skov, S. D. Smith
Summary: This meta-analysis explores the relationship between communication outcomes and participant characteristics in single-case design studies of augmentative and alternative communication (AAC) interventions. The results indicate positive effects of AAC interventions on communication outcomes, although there is considerable heterogeneity. Moderator analyses suggest that the effectiveness of interventions does not significantly vary across diagnoses, age, communication modes, productive repertoires, and imitation skills.
AUGMENTATIVE AND ALTERNATIVE COMMUNICATION
(2023)
Article
Psychology, Educational
Han Na Suh, Terri Pigott, Kenneth G. Rice, Don E. Davis, Andrea C. Andrade
Summary: A body of research has explored the relationship between perfectionism and mental health indicators. Self-critical perfectionism, a component of perfectionism, is seen as negative in the context of mental health. It is important to examine the generalizability of these findings across cultures and subcultures, as research informs educational and clinical practices.
JOURNAL OF COUNSELING PSYCHOLOGY
(2023)
Review
Audiology & Speech-Language Pathology
Joe Reichle, James E. Pustejovsky, Kimberly J. Vannest, Margaret Foster, Lauren M. Pierson, Sanikan Wattanawongwan, Man Chen, Marcus C. Fuller, April N. Haas, Bethany H. Bhat, Mary Rose Sallese, S. D. Smith, Valeria Yllades, Daira Rodriguez, Amara Yoro, J. B. Ganz
Summary: This article provides a systematic review and analysis of group and single-case studies on augmentative and alternative communication (AAC) intervention with school-aged individuals with autism spectrum disorder (ASD) and/or intellectual/developmental disabilities resulting in complex communication needs (CCNs). The findings reveal that participant characteristics and pivotal skills are not adequately reported in both types of studies. Furthermore, group studies tend to utilize clinical settings while single-case studies prefer instructional methods associated with behavioral approaches.
AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY
(2023)
Article
Psychology, Multidisciplinary
Young Ri Lee, James E. Pustejovsky
Summary: Cross-classified random effects modeling (CCREM) is a common approach for analyzing cross-classified data. However, ordinary least squares regression with cluster robust variance estimators (OLS-CRVE) or fixed effects regression with CRVE (FE-CRVE) may be more appropriate approaches when the focus is on Level 1 regression coefficients. We compared the performance of CCREM, OLS-CRVE, and FE-CRVE in different model conditions. CCREM out-performed the alternative approaches when its assumptions are met, but OLS-CRVE and FE-CRVE provided similar or better performance when assumptions were violated.
PSYCHOLOGICAL METHODS
(2023)
Review
Education & Educational Research
Mikkel Helding Vembye, Felix Weiss, Bethany Hamilton Bhat
Summary: This systematic review and meta-analysis examined the effects of co-teaching and collaborative models of instruction on students' academic achievement. The study found that collaborative instruction had a moderate, positive effect on students' academic achievement compared to single-taught controls, regardless of the teachers' qualifications.
REVIEW OF EDUCATIONAL RESEARCH
(2023)
Article
Substance Abuse
Olivia K. Golan, Flora Sheng, Andrew W. Dick, Mark Sorbero, Daniel J. Whitaker, Barbara Andraka-Christou, Therese Pigott, Adam J. Gordon, Bradley D. Stein
Summary: This study examines the impact of the Affordable Care Act Medicaid expansion on the initiation rates of buprenorphine, a medication used to treat opioid use disorder. The results show that the expansion reduced income-related disparities in urban counties but had no significant effect in rural counties.
DRUG AND ALCOHOL DEPENDENCE REPORTS
(2023)
