Analyzing robust dividend payout policy with dynamic panel regression: Application of speed of adjustment to half-life. by Kittisak Jangphanish, Wachira Boonyanet, Supa Tongkong

“…The study introduces the dynamic panel regression models, i.e. Autoregressive Integrated Moving Average (ARIMA) for time series data and Weighted Least Squares (WLS) to account for autocorrelation and heteroscedasticity limitation. …”
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Sleep quality and cognitive functioning among Chinese older adults living in the US: a mixed-effects model analysis by Fengyan Tang, Yuyang Zhu, Dasuni Jayawardena, Guoping Jin, Yanping Jiang

“…Insomnia was assessed using four items from the Women’s Health Initiative Insomnia Rating Scale. Mixed-effects regression models were used to assess the effects of sleep parameters on baseline cognitive functioning and cognitive change over time. …”
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The association between solid fuel use for heating and cooking and low back pain and neck pain in middle-aged to elderly Chinese adults: a cross-sectional and panel data analysis by Bingsong Li, Xiaotong Sun, Yue Wang, Qinling Li, Yizhan He, Menglu Wang, Xuemei Zhen

“…Multivariable logistic regression model and generalized estimation equation were used to elucidate the relationship between solid fuel and the number of solid fuels used and two pains(LBP and NP). …”
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THE ASSESSMENT OF THE IMPACT OF MONETARY POLICY ON ECONOMIC GROWTH IN DIFFERENT GROUPS OF COUNTRIES by F. S. Kartaev

“…Using models with fixed effects there were estimated long-run dynamic multipliers of the policy regimes of the Central Bank. …”
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Economic and healthcare determinants of under-five mortality in low-income countries by Vageesha Rajapakse, Adeesha Fernando, Nikini Sudangama, Damindu Adikari, Ashwathy Sundaram, Ruwan Jayathilaka

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BRICS carbon emissions: Asymmetric impact of energy mix, financial development, and digitalization by Dhyani Mehta, Mohd Asif Shah

“…The study uses a nonlinear panel quantile regression model utilizing panel data spanning from 2000 to 2023, by estimating the asymmetric impact of energy mix, financial development, and digitalization on carbon emissions of BRICS countries. …”
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The Role of Domestic Investment and Human Capital in Economic Performance: Does the Monetary and Fiscal Policy Mix Matter? by Muhammad Akbar Ramadhani, Basri, Fahrul Hudatil Atkiyan

“…This study examines the impact of domestic investment and human capital on three key regional economic development challenges—income inequality, poverty, and unemployment—across ten provinces in Sumatra during the period 2010–2023. Using a panel data regression model and moderation regression analysis (MRA), the research also investigates the moderating role of fiscal and monetary policy mixes. …”
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Longitudinal association of peripheral blood DNA methylation with liver fat content: distinguishing between predictors and biomarkers by Hailuan Zeng, Wenran Li, Mingfeng Xia, Jieyu Ge, Hui Ma, Lingyan Chen, Baishen Pan, Huandong Lin, Sijia Wang, Xin Gao

“…Longitudinal and cross-sectional epigenome-wide association studies (EWASs) were conducted with linear mixed model and linear regression model, respectively. …”
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THE Effect of Digital Payments on Financial Performance of Mutual Funds in Kenya by Jemimah Minyoso Eboyi, Benedict Ondiek Alala, Nelima Mary Lyani

“…Design/Methodology/Approach: Technology acceptance model was used. Mixed research design combining descriptive and panel design with both primary and secondary data was utilized. …”
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Modeling Dockless Shared E-Scooter Demand by Time of Day: A Case Study of Austin by Nami Alsulami, Sudipta Dey Tirtha, Shamsunnahar Yasmin, Naveen Eluru

“…The time-period specific data is partitioned for weekdays and weekends. Using the prepared datasets, we develop a joint panel linear regression (JPLR) model framework that accommodates for the influence of unobserved factors at multiple levels-CT, month, day, and time period levels. …”
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Bayesian Inference on the Impact of Serious Life Events on Insomnia and Obesity by David Gunawan

“…To model these health outcomes jointly, we employ a bivariate random effects probit panel data model and a longitudinal random effects panel data model whose outcomes can be a combination of discrete/categorical and continuous variables. …”
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Administrative pressure, interpersonal relationships, and teachers’ professional identity by Bao Zhu, Shiting Zhai

“…This paper empirically analyzes the impact of administrative pressure on teachers’ understanding of professional identity based on data from the China Education Panel Survey using the order probit model to reveal the mechanisms at play in this relationship. …”
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The Determinants of Stock Market Performance Among Registered Companies in Tanzania: A Case of Dar Es Salaam Stock Exchange by Victor Mvanda, Pastory Dickson, Albinus Majula

“…Furthermore, the analysis of quantitative data using the Generalized Linear Equation Model (GLM), Mixed Generalized Linear Regression Model (MGLM), and Panel Regression Model (PRM) helped to obtain results for generalization. …”
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The Role of ESG in Driving Firm Profitability by Mubanga Lackson Chipimo, John Bwalya, Joseph Katongo Kanyanga

“…Design/Methodology- Using a mixed-methods approach, the study analysed panel data from 2014 to 2024 for listed food companies in Zambia. …”
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Technological innovation, trade openness, natural resources, clean energy on environmental sustainably: a competitive assessment between CO2 emission, ecological footprint, load ca... by Jie Sun, Md. Qamruzzaman

“…Employing advanced econometric techniques such as Dynamic Seemingly Unrelated Regression (DSUR), Cross-Sectionally Augmented Panel Unit Root (CUP-FM, CUP-BC), and nonlinear autoregressive distributed lag (ARDL) models, the research tests the Environmental Kuznets Curve (EKC) hypothesis and evaluates asymmetric effects of the variables. …”
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A DYNAMIC HETEROGENEOUS NEXUS BETWEEN PADDY AND POVERTY: EVIDENCE FROM DUMITRESCU-HURLIN CAUSALITY AND PMG-ARDL by Mohamad Egi Destiartono

“…Hence, this paper empirically examines the causal link between paddy productivity and poverty rates in Sumatra, retrieving balanced panel data from ten provinces for the period 2010-2022. …”
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Mental health trajectories over the COVID-19 pandemic among young adults reporting adverse childhood experiences by Behnam Mousavi, Jessy Moore, Karen A. Patte, William Pickett, Deborah D. O’Leary, Terrance J. Wade

“…Using a Bayesian multivariate mixed-model regression framework, 171 participants who responded to at least one wave of the COVID-19 sub-study were included.ResultsParticipants with higher ACE scores and high COVID-19 stress had elevated trajectories of several poor mental health measures that stayed higher than other groups across all waves of data collection.DiscussionYoung adults who reported higher ACEs were more susceptible to subsequent stress exposure, highlighting a specific, high-risk group who may benefit from targeted intervention programs during times of crisis such as the COVID-19 pandemic.…”
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Symbiotic relationship and attribution analysis of digitalization in agriculture, rural, and finance: evidence from China by Xiaojuan Yang, Kai Liu, Weiwei Li, Weiwei Li

“…The three promote and influence each other to jointly drive rural revitalization and agricultural modernization. Using panel data from 30 provinces in China spanning from 2015 to 2021, this paper quantitatively analyzes the dynamic characteristics, spatial patterns, and driving mechanisms of digital agriculture, digital rural and digital finance, and their symbiotic relationships through coupling coordination degree model (CCDM) and geographically and temporally weighted regression (GTWR). …”
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Comparing statistical learning methods for complex trait prediction from gene expression. by Noah Klimkowski Arango, Fabio Morgante

“…Genotypes have been used for trait prediction using a variety of methods such as mixed models, Bayesian methods, penalized regression methods, dimension reduction methods, and machine learning methods. …”
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Associations between cardiometabolic indices and heart disease among elderly and middle-aged Chinese individuals: a retrospective longitudinal study by Ya Li, Li Jiao, Wei Chen, Xue-Feng Ni, Wen Zhang, Shu-Yang Zhang

“…The Kruskal‒Wallis H test and Cox regression analysis were performed. Longitudinal/panel data mixed-effects linear regression models were applied to analyze the relationships between the CMI and nonspecific inflammatory markers. …”
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