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Journal articles on the topic 'Pooled regression'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

SHIMOTSU, KATSUMI, and PETER C. B. PHILLIPS. "Pooled Log Periodogram Regression." Journal of Time Series Analysis 23, no. 1 (2002): 57–93. http://dx.doi.org/10.1111/1467-9892.00575.

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Montesinos-López, Osval A., Abelardo Montesinos-López, Kent Eskridge, and José Crossa. "Inverse sampling regression for pooled data." Statistical Methods in Medical Research 26, no. 3 (2015): 1093–109. http://dx.doi.org/10.1177/0962280214568047.

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Because pools are tested instead of individuals in group testing, this technique is helpful for estimating prevalence in a population or for classifying a large number of individuals into two groups at a low cost. For this reason, group testing is a well-known means of saving costs and producing precise estimates. In this paper, we developed a mixed-effect group testing regression that is useful when the data-collecting process is performed using inverse sampling. This model allows including covariate information at the individual level to incorporate heterogeneity among individuals and identi

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Lin, Juexin, and Dewei Wang. "Single-index regression for pooled biomarker data." Journal of Nonparametric Statistics 30, no. 4 (2018): 813–33. http://dx.doi.org/10.1080/10485252.2018.1483501.

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Wang, Dewei, Xichen Mou, Xiang Li, and Xianzheng Huang. "Local polynomial regression for pooled response data." Journal of Nonparametric Statistics 32, no. 4 (2020): 814–37. http://dx.doi.org/10.1080/10485252.2020.1834104.

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Zhang, Zhiwei, and Paul S. Albert. "Binary Regression Analysis with Pooled Exposure Measurements: A Regression Calibration Approach." Biometrics 67, no. 2 (2010): 636–45. http://dx.doi.org/10.1111/j.1541-0420.2010.01464.x.

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Kalashnikov, Vyacheslav V., Gerardo A. Pérez-Valdés, Timothy I. Matis, and Nataliya I. Kalashnykova. "US Natural Gas Market Classification Using Pooled Regression." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/695084.

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Natural gas marketing has considerably evolved since the early 1990s, when a set of liberalizing rules were passed in both the United States and the European Union that eliminated state-driven regulations in favor of open energy markets. These new rules changed many things in the business of energetics, and therefore new research opportunities arose. Econometric studies about natural gas emerged as an important area of study since natural gas may now be sold and traded in a number of stock markets, each one responding to potentially different behavioral drives. In this work, we present a metho

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WARD, M. "Pooled time series regression analysis in longitudinal studies." Journal of Clinical Epidemiology 46, no. 7 (1993): 645–59. http://dx.doi.org/10.1016/0895-4356(93)90038-3.

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Vuko, Tina, and Marko Čular. "Finding determinants of audit delay by pooled OLS regression analysis." Croatian Operational Research Review 5, no. 1 (2014): 81–91. http://dx.doi.org/10.17535/crorr.2014.0030.

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Mitchell, Emily M., Robert H. Lyles, and Enrique F. Schisterman. "Positing, fitting, and selecting regression models for pooled biomarker data." Statistics in Medicine 34, no. 17 (2015): 2544–58. http://dx.doi.org/10.1002/sim.6496.

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Green, Donald P., Soo Yeon Kim, and David H. Yoon. "Dirty Pool." International Organization 55, no. 2 (2001): 441–68. http://dx.doi.org/10.1162/00208180151140630.

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International relations scholars make frequent use of pooled cross-sectional regression in which N dyads over T time points are combined to create NT observations. Unless special conditions are met, these regressions produce biased estimates of regression coefficients and their standard errors. A survey of recent publications in international relations shows little attention to this issue. Using data from the period 1951–92, we examine the consequences of pooling for models of militarized disputes and bilateral trade. When pooled models are reestimated to allow for stable but unobserved differ

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D'Agostino, Ralph B., Mei-Ling Lee, Albert J. Belanger, L. Adrienne Cupples, Keaven Anderson, and William B. Kannel. "Relation of pooled logistic regression to time dependent cox regression analysis: The framingham heart study." Statistics in Medicine 9, no. 12 (1990): 1501–15. http://dx.doi.org/10.1002/sim.4780091214.

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Hedayati, Maryam, Behzad Garousi, Zahrasadat Rezaei, et al. "Identifying SCC Lesions Capable of Spontaneous Regression by Using Immunohistochemistry: A Systematic Review and Meta-Analysis Study." Dermatology Practical & Conceptual 14, no. 2 (2024): e2024047. http://dx.doi.org/10.5826/dpc.1402a47.

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Introduction: Keratoacanthoma (KA) and squamous cell carcinoma (SCC) are two cutaneous conditions with morphological resemblance, which can complicate the diagnosis in some cases. Using immunohistochemistry staining of biomarkers could be beneficial in resolving this obstacle. Objectives: we investigated a variety of biomarkers assessed in different studies in order to find the most important and helpful biomarkers for differentiation between SCC and lesions capable of spontaneous regression. Methods: PubMed medical literature and Google Scholar database were used to identify relevant literatu

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Suleman, Sana, and Ahmed Raza Cheema. "Foreign remittances and income inequality in Pakistan: A Pooled Regression Analysis." Journal of Applied Economics and Business Studies 4, no. 4 (2020): 237–50. http://dx.doi.org/10.34260/jaebs.4211.

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The people from developing countries like Pakistan move to developed countries to earn their bread and butter. Consequently, such migrants remit a handsome part of their earnings to their dependents living in homeland. Foreign remittances have multidimensional impact on the economy of a developing country. The study evaluates the impact of foreign remittances on income inequality in Pakistan by estimating the set of fixed effect and random effect models using the pooled data from eight household income and expenditure surveys between 1998/99 and 2015/16. Gini coefficient as well as generalized

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Raza Cheema, Ahmed, and Maqbool H. Sial. "Poverty, Income Inequality, and Growth in Pakistan: A Pooled Regression Analysis." LAHORE JOURNAL OF ECONOMICS 17, no. 2 (2012): 137–57. http://dx.doi.org/10.35536/lje.2012.v17.i2.a6.

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This study estimates a set of fixed effects/random effects models to ascertain the long-run relationships between poverty, income inequality, and growth using pooled data from eight household income and expenditure surveys conducted between 1992/93 and 2007/08 in Pakistan. The results show that growth and inequality play significant roles in affecting poverty, and that the effect of the former is substantially larger than that of the latter. Furthermore, growth has a significant positive impact on inequality. The results also show that the absolute magnitude of net growth elasticity of poverty

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Liu, Yan, Christopher McMahan, and Colin Gallagher. "A general framework for the regression analysis of pooled biomarker assessments." Statistics in Medicine 36, no. 15 (2017): 2363–77. http://dx.doi.org/10.1002/sim.7291.

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Cattaneo, Matias D., Rocío Titiunik, and Gonzalo Vazquez-Bare. "Analysis of regression-discontinuity designs with multiple cutoffs or multiple scores." Stata Journal: Promoting communications on statistics and Stata 20, no. 4 (2020): 866–91. http://dx.doi.org/10.1177/1536867x20976320.

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In this article, we introduce the Stata (and R) package rdmulti, which consists of three commands (rdmc, rdmcplot, rdms) for analyzing regression-discontinuity (RD) designs with multiple cutoffs or multiple scores. The command rdmc applies to noncumulative and cumulative multicutoff RD settings. It calculates pooled and cutoff-specific RD treatment effects and provides robust biascorrected inference procedures. Postestimation and inference is allowed. The command rdmcplot offers RD plots for multicutoff settings. Finally, the command rdms concerns multiscore settings, covering in particular cu

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Chen, Zi, Wei-Ying Li, Mandy Ho, and Pui-Hing Chau. "The Prevalence of Sarcopenia in Chinese Older Adults: Meta-Analysis and Meta-Regression." Nutrients 13, no. 5 (2021): 1441. http://dx.doi.org/10.3390/nu13051441.

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Sarcopenia, with risk factors such as poor nutrition and physical inactivity, is becoming prevalent among the older population. The aims of this study were (i) to systematically review the existing data on sarcopenia prevalence in the older Chinese population, (ii) to generate pooled estimates of the sex-specific prevalence among different populations, and (iii) to identify the factors associated with the heterogeneity in the estimates across studies. A search was conducted in seven databases for studies that reported the prevalence of sarcopenia in Chinese older adults, aged 60 years and over

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Sambhram, S. Patil. "Profitability of Indian Automobile Companies." Journal of Research and Review in Purchasing and Supply Management 2, no. 1 (2024): 40–49. https://doi.org/10.5281/zenodo.14504663.

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<em>Car industry is one of the vital areas in India and it is the advancing business in the country. The business helps the economy in numerous ways. The specialist chose 10 companies. For the investigation of benefit. The time duration of the review are from 2015 to 2024. The review utilized auxiliary information (bookkeeping information). The analytical tests involved proportional examination such as Pooled Regression, Fixed Effect Model, Random Effect Model, First - Differencing and Hausman test (Ph-test) were run and the following results were obtained., some are diminished during the revi

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Herniman, Sarah E., Kelly Allott, Lisa J. Phillips, et al. "Depressive psychopathology in first-episode schizophrenia spectrum disorders: a systematic review, meta-analysis and meta-regression." Psychological Medicine 49, no. 15 (2019): 2463–74. http://dx.doi.org/10.1017/s0033291719002344.

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AbstractBackgroundDespite knowing for many decades that depressive psychopathology is common in first-episode schizophrenia spectrum disorders (FES), there is limited knowledge regarding the extent and nature of such psychopathology (degree of comorbidity, caseness, severity) and its demographic, clinical, functional and treatment correlates. This study aimed to determine the pooled prevalence of depressive disorder and caseness, and the pooled mean severity of depressive symptoms, as well as the demographic, illness, functional and treatment correlates of depressive psychopathology in FES.Met

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Tajudeen, Alaburo, Seun Samuel, and Bolanle Rofiat. "Does CSR expenditure reward the financial performance of Nigerian quoted oil and gas companies: A pooled panel regression model?" Ekonomski pogledi 26, no. 1 (2024): 1–39. http://dx.doi.org/10.5937/ep26-51141.

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Nigeria's oil and gas industry has significantly harmed the environment, with a 5 to 10 percent loss of mangrove ecosystems and the deforestation of 8,400 km² of rainforest. The industry has been criticized for prioritizing profits over social and environmental responsibilities. The research examines how Corporate Social Responsibility (CSR) expenditure affects the financial performance of Nigeria's oil and gas sector. By utilizing a positivist approach guided by quantitative methodology, the study analyses panel data from the annual and sustainability reports of listed oil and gas companies f

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Gongad, S. S. "AN APPLICATION OF POOLED REGRESSION MODEL OF TWO-WHEELER INDUSTRY FOR ADVERTISING IMPACT." VIDYA - A JOURNAL OF GUJARAT UNIVERSITY 2, no. 2 (2023): 166–72. http://dx.doi.org/10.47413/vidya.v2i2.238.

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Statistical applications are rarely used for conducting research in applied areas. This research is conducting to evaluate an application of pooled regression model for two-wheeler industry and examining the advertising impact on the model. An application of multiple and partial correlation, relative applications on regression model are tested such as collinearity. The results are concluded at the end of the application of model.

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Lu, Wei, and James M. Bailey. "Reliability of Pharmacodynamic Analysis by Logistic Regression." Anesthesiology 92, no. 4 (2000): 985–92. http://dx.doi.org/10.1097/00000542-200004000-00015.

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Background Many pharmacologic studies record data as binary yes-or-no variables, and analysis is performed using logistic regression. This study investigates the accuracy of estimation of the drug concentration associated with a 50% probability of drug effect (C50) and the term describing the steepness of the concentration-effect relation (gamma). Methods The authors developed a technique for simulating pharmacodynamic studies with binary yes-or-no responses. Simulations were conducted assuming either that each data point was derived from the same patient or that data were pooled from multiple

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Abd El Maksoud, Walid M., Khaled S. Abbas, Fahad S. Al Amri, et al. "A Systematic Review and Meta-Analysis on the Efficacy and Safety of Concomitant Laparoscopic Cholecystectomy and Sleeve Gastrectomy in Patients with Morbid Obesity." Journal of Clinical Medicine 14, no. 12 (2025): 4108. https://doi.org/10.3390/jcm14124108.

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Background/Objectives: Rapid weight loss after bariatric surgery is linked to a higher risk of symptomatic gallstone disease, which could require a cholecystectomy. This meta-analysis aimed to assess the efficacy and safety of conducting laparoscopic cholecystectomy concurrently with sleeve gastrectomy in morbid obese patients. Methods: Scopus, PubMed, ProQuest, Web of Science, and Google Scholar were searched for this review. Quality assessment was conducted using the Newcastle-Ottawa Scale for observational studies and ROB2 for randomized clinical trials. Eight of thirteen studies were high-

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Wunnava, Phanindra Venkata. "Life Cycle Union Effects Based on a Pooled Regression Technique: Evidence from PSID." Southern Economic Journal 54, no. 4 (1988): 1020. http://dx.doi.org/10.2307/1059536.

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Deng, Kai-Li, Wan-Yu Yang, Jin-Li Hou, Hui Li, Hao Feng, and Su-Mei Xiao. "Association between Body Composition and Bone Mineral Density in Children and Adolescents: A Systematic Review and Meta-Analysis." International Journal of Environmental Research and Public Health 18, no. 22 (2021): 12126. http://dx.doi.org/10.3390/ijerph182212126.

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Background: Bone mass acquisition during growth is a major determinant of the risk of developing osteoporosis later in life. Body composition is an anthropometric determinant of bone mineral density (BMD) and significantly influences its development during childhood and adolescence. Objective: This study aimed to systematically examine the association between body composition and bone mineral density in children and adolescents. Methods: Observational studies addressing this association were identified from PubMed (MEDLINE), Embase, Scopus and the Cochrane Library (up to January 2021). The stu

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Dang, Xinyuan. "An Empirical Study on the Relationship between Economic Growth and Public Welfare." Highlights in Business, Economics and Management 24 (January 22, 2024): 166–71. http://dx.doi.org/10.54097/0q7esv66.

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This paper investigates the relationship between economic growth and public welfare, where the criticality of this study is to assist governments in issuing policies regarding economic growth to maximise the prosperity and welfare in particular countries. This study adopts a pooled ordinary least squares (OLS) analysis, a regression with year fixed effects as well as a regression with both year fixed effects and country fixed effects, proposing that economic growth has an effect on social well-being. The aspects of welfare researched on are comprised of income inequality, crime severity, natio

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Ma, Zhiyuan, and Mahesh Krishnamurthy. "Is metformin use associated with low mortality in patients with type 2 diabetes mellitus hospitalized for COVID-19? a multivariable and propensity score-adjusted meta-analysis." PLOS ONE 18, no. 2 (2023): e0282210. http://dx.doi.org/10.1371/journal.pone.0282210.

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Background Coronavirus disease 2019 (COVID-19) is a new pandemic that the entire world is facing since December of 2019. Increasing evidence has shown that metformin is linked to favorable outcomes in patients with COVID-19. The aim of this study was to address whether outpatient or inpatient metformin therapy for type 2 diabetes mellitus is associated with low in-hospital mortality in patients hospitalized for COVID-19. Methods We searched studies published in PubMed, Embase, Google Scholar and Cochrane Library up to November 1, 2022. Raw event data extracted from individual study were pooled

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Bishop, JF, K. McGrath, MM Wolf, et al. "Clinical factors influencing the efficacy of pooled platelet transfusions." Blood 71, no. 2 (1988): 383–87. http://dx.doi.org/10.1182/blood.v71.2.383.383.

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Abstract To determine the relative importance of clinical factors on the efficacy of platelet transfusions, 941 pooled platelet transfusions from HLA-unmatched donors were studied prospectively in 133 patients with bone marrow failure. Multiple linear regression analyses identified the major factors influencing one-hour-corrected increments (CI) as prior splenectomy, bone marrow transplantation, disseminated intravascular coagulation, concurrent intravenous amphotericin B, splenomegaly, and HLA antibody grade. The relative impact of these factors on CI has been quantitated by using a formula d

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Bishop, JF, K. McGrath, MM Wolf, et al. "Clinical factors influencing the efficacy of pooled platelet transfusions." Blood 71, no. 2 (1988): 383–87. http://dx.doi.org/10.1182/blood.v71.2.383.bloodjournal712383.

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To determine the relative importance of clinical factors on the efficacy of platelet transfusions, 941 pooled platelet transfusions from HLA-unmatched donors were studied prospectively in 133 patients with bone marrow failure. Multiple linear regression analyses identified the major factors influencing one-hour-corrected increments (CI) as prior splenectomy, bone marrow transplantation, disseminated intravascular coagulation, concurrent intravenous amphotericin B, splenomegaly, and HLA antibody grade. The relative impact of these factors on CI has been quantitated by using a formula developed

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Chowdhury, Mohammad Ziaul Islam, Iffat Naeem, Hude Quan, et al. "Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis." PLOS ONE 17, no. 4 (2022): e0266334. http://dx.doi.org/10.1371/journal.pone.0266334.

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Objective We aimed to identify existing hypertension risk prediction models developed using traditional regression-based or machine learning approaches and compare their predictive performance. Methods We systematically searched MEDLINE, EMBASE, Web of Science, Scopus, and the grey literature for studies predicting the risk of hypertension among the general adult population. Summary statistics from the individual studies were the C-statistic, and a random-effects meta-analysis was used to obtain pooled estimates. The predictive performance of pooled estimates was compared between traditional r

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Merridale-Punter, Mathilde S., Anke K. Wiethoelter, Charles M. El-Hage, and Peta L. Hitchens. "Prevalence and Factors Associated with Working Equid Lameness in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis." Animals 12, no. 22 (2022): 3100. http://dx.doi.org/10.3390/ani12223100.

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Lameness is an important concern in working equids of low- and middle-income communities (LMICs) with significant One Welfare implications. This study aims to determine the prevalence and influencing factors of lameness in working equids of LMICs. A systematic review and meta-analysis were performed to investigate pooled outcome prevalence using a random intercept regression model. Subgroup and sensitivity analysis were performed through meta-regression. A meta-analysis of study factors for lameness prevalence was performed. Sixty-four studies were included in the review. The pooled prevalence

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Collie, Jeremy S., Randall M. Peterman, and Carl J. Walters. "Experimental Harvest Policies for a Mixed-Stock Fishery: Fraser River Sockeye Salmon, Oncorhynchus nerka." Canadian Journal of Fisheries and Aquatic Sciences 47, no. 1 (1990): 145–55. http://dx.doi.org/10.1139/f90-015.

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We investigated harvest strategies aimed at rebuilding the less abundant stocks of Fraser River sockeye salmon, Oncorhynchus nerka. Monte Carlo simulations were run to estimate catch under four different harvest policy designs and three alternative parameterizations of the Ricker model. A pooled regression model was fit to 34 yr of spawner–recruit data from the 10 major stocks of Fraser sockeye. Compared with estimating separate parameters for each stock, the pooled regression model resulted in a more precise estimate of the Ricker a parameter (productivity at low stock sizes). Exploitation ra

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Daneshi, Naghmeh, and Jong Sung Kim. "Maximum Likelihood Estimation for the Pooled Repeated Partly Interval-Censored Observations Logistic Regression Model." Open Journal of Statistics 11, no. 01 (2021): 230–42. http://dx.doi.org/10.4236/ojs.2021.111012.

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Kang, Sung Won. "A Gibbs Sampling Algorithm for a Changing Regression Model with Pooled Binary Response Data." Communications in Statistics - Theory and Methods 36, no. 2 (2007): 349–73. http://dx.doi.org/10.1080/03610920600974500.

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Jung, Changhoon, and Seong-Ho Jeong. "Effects of Service Characteristics on Interlocal Cooperation in U.S. Cities: A Pooled Regression Analysis." International Journal of Public Administration 36, no. 5 (2013): 367–80. http://dx.doi.org/10.1080/01900692.2013.767273.

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Kenworthy, Lane. "Step away from the pool." Qualitative & Multi-Method Research 9, no. 2 (2011): 26–28. https://doi.org/10.5281/zenodo.932394.

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Quantitative macrocomparative analysis of the rich longstanding-democratic nations - "medium-N analysis" - is dominated by pool time-series cross-section regression. I estimate that more than 90% of the medium-N papers I read in journals and journal submission used pooled regression.

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Gongad, S. S. "An Application of Estimation Regression Model of Two-Wheeler Industry for Advertising Impact." RESEARCH REVIEW International Journal of Multidisciplinary 7, no. 8 (2022): 126–36. http://dx.doi.org/10.31305/rrijm.2022.v07.i08.020.

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Statistical applications are rarely used for conducting research in applied areas. This research is conducting to evaluate an application of Estimation Regression, Pooled Data model for two-wheeler industry and examining the advertising impact on the model. An application of multiple and partial correlation, relative applications on regression model are tested such as collinearity. The results are concluded at the end of the application of model.

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Garrido-Miguel, Oliveira, Cavero-Redondo, et al. "Prevalence of Overweight and Obesity among European Preschool Children: A Systematic Review and Meta-Regression by Food Group Consumption." Nutrients 11, no. 7 (2019): 1698. http://dx.doi.org/10.3390/nu11071698.

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The aim of this review was to estimate the prevalence of overweight and obesity among European children aged 2–7 years from 2006 to 2016 and to analyze these estimations by gender, country, and food group consumption. We searched CINAHL, EMBASE, MEDLINE, and Web of Science databases from their inception until 27 February 2019 including cross-sectional studies and baseline measurements of cohort studies with overweight and obesity defined according to the International Obesity Task Force criteria. Both the inverse-variance fixed-effects method and the DerSimonian and Laird random effects method

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Maia, Carlos Renato Moreira, Samuele Cortese, Arthur Caye, et al. "Long-Term Efficacy of Methylphenidate Immediate-Release for the Treatment of Childhood ADHD." Journal of Attention Disorders 21, no. 1 (2016): 3–13. http://dx.doi.org/10.1177/1087054714559643.

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Objective: To evaluate the long-term effects of methylphenidate imediate-release (MPH-IR), and to confirm the efficacy established in previous meta-analyses of short-term studies. Method: Published and unpublished studies in which participants were treated with MPH-IR for 12 weeks or more were searched. Pooled effect sizes from these studies were computed with the DerSimonian and Laird random-effect model. Meta-regression analysis was conducted to estimate covariates associated with treatment effects. Results: Seven studies were included. Pooled parents ratings for inattention and hyperactivit

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Gangadharaiah, Rakesh, Haotian Su, Elenah B. Rosopa, et al. "A User-Centered Design Exploration of Factors That Influence the Rideshare Experience." Safety 9, no. 2 (2023): 36. http://dx.doi.org/10.3390/safety9020036.

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The rise of real-time information communication through smartphones and wireless networks enabled the growth of ridesharing services. While personal rideshare services (individuals riding alone or with acquaintances) initially dominated the market, the popularity of pooled ridesharing (individuals sharing rides with people they do not know) has grown globally. However, pooled ridesharing remains less common in the U.S., where personal vehicle usage is still the norm. Vehicle design and rideshare services may need to be tailored to user preferences to increase pooled rideshare adoption. Based o

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Miller, Larry E., Alvin Ibarra, and Arthur C. Ouwehand. "Normative Values for Colonic Transit Time and Patient Assessment of Constipation in Adults With Functional Constipation: Systematic Review With Meta-Analysis." Clinical Medicine Insights: Gastroenterology 10 (January 1, 2017): 117955221772934. http://dx.doi.org/10.1177/1179552217729343.

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Availability of normative patient outcome data may assist in designing experiments and estimating sample sizes. The purpose of this review was to determine normative ranges for colonic transit time (CTT), Patient Assessment of Constipation-Symptoms (PAC-SYM), and Patient Assessment of Constipation-Quality of Life (PAC-QOL) in adults diagnosed with functional constipation per Rome III guidelines. Pooled estimates were derived from random-effects meta-analysis. Meta-regression was used to explore sources of heterogeneity among studies. A total of 24 studies (3786 patients) were included in the r

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Fasano, Tommaso, Jose Luis Bedini, Pierre-Antoine Fle, et al. "Multi-site performance evaluation and Sigma metrics of 20 assays on the Atellica chemistry and immunoassay analyzers." Clinical Chemistry and Laboratory Medicine (CCLM) 58, no. 1 (2019): 59–68. http://dx.doi.org/10.1515/cclm-2019-0699.

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Abstract Background The Atellica Solution comprises chemistry (CH) and immunoassay (IM) analyzers. Recently, six early adopter clinical laboratories across Europe evaluated the analytical performance of 20 CH and IM assays. To measure analytical performance quality, Sigma metrics were calculated for individual-site and pooled-site results. Methods Precision, detection capability, linearity, and method comparison studies were performed according to Clinical Laboratory Standards Institute protocols. Global Sigma metrics across sites were calculated from pooled data at the medical decision level

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WRIGHT, C. P. M., J. L. EGGENS, K. CAREY, and R. J. HINES. "LEAF NUMBER ESTIMATION FROM SHOOT DRY WEIGHT MEASUREMENTS FOR TWO TURFGRASS SPECIES." Canadian Journal of Plant Science 69, no. 1 (1989): 297–304. http://dx.doi.org/10.4141/cjps89-039.

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The objective of this study was to determine if total plant leaf numbers in a large data set could be predicted from individual plant shoot dry weight measurements using regression equations derived from a subset of the data. The species used were annual bluegrass (Poa annua L.) and creeping bentgrass (Agrostis palustris Huds. ’Penncross’). There was significant correlation between leaf number and shoot dry weight measurements in data subsets. Leaf numbers for the total data set were estimated by the regression equation derived from a subset consisting of pooled data from one, two or three rep

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Moges, Natnael, Denekew Tenaw Anley, Melkamu Aderajew Zemene, et al. "Congenital anomalies and risk factors in Africa: a systematic review and meta-analysis." BMJ Paediatrics Open 7, no. 1 (2023): e002022. http://dx.doi.org/10.1136/bmjpo-2023-002022.

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ObjectiveTo evaluate the pooled prevalence and identify risk factors of congenital anomalies among neonates in Africa.MethodsThe pooled birth prevalence of congenital anomalies was the first outcome of this review, and the pooled measure of association between congenital anomalies and related risk factors in Africa was the second. We conducted a thorough search of the databases PubMed/ Medline, PubMed Central, Hinary, Google, Cochrane Library, African Journals Online, Web of Science and Google Scholar up to 31 January 2023. The JBI appraisal checklist was used to evaluate the studies. STATA V.

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Castellaro, Marco, Agnese Tamanti, Anna Isabella Pisani, Francesca Benedetta Pizzini, Francesco Crescenzo, and Massimiliano Calabrese. "The Use of the Central Vein Sign in the Diagnosis of Multiple Sclerosis: A Systematic Review and Meta-analysis." Diagnostics 10, no. 12 (2020): 1025. http://dx.doi.org/10.3390/diagnostics10121025.

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Background: The central vein sign (CVS) is a radiological feature proposed as a multiple sclerosis (MS) imaging biomarker able to accurately differentiate MS from other white matter diseases of the central nervous system. In this work, we evaluated the pooled proportion of the CVS in brain MS lesions and to estimate the diagnostic performance of CVS to perform a diagnosis of MS and propose an optimal cut-off value. Methods: A systematic search was performed on publicly available databases (PUBMED/MEDLINE and Web of Science) up to 24 August 2020. Analysis of the proportion of white matter MS le

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Qiao, Xin, Yishan Ding, Chengbin Ying, Hong Jiao, and George Macready. "Classification and prediction with very imbalanced group sample sizes: an illustration with COVID-19 testing." Biometrics & Biostatistics International Journal 10, no. 4 (2021): 154–61. http://dx.doi.org/10.15406/bbij.2021.10.00342.

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This study explored predictions of COVID test results using statistical classification methods based on available COVID-related data such as demographic and symptom information. The perfor Table mances of logistic regression, machine learning models, and latent class analysis in the predictions of extreme imbalanced COVID data were compared. One technical challenge of using statistical classification methods was tackled in the extreme imbalance sample sizes of the COVID data. The oversampling method was applied on the training dataset to mitigate the impact of such data structure on the traini

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Chewcharat, Thongprayoon, Bathini, et al. "Incidence and Mortality of Renal Cell Carcinoma after Kidney Transplantation: A Meta-Analysis." Journal of Clinical Medicine 8, no. 4 (2019): 530. http://dx.doi.org/10.3390/jcm8040530.

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Background: The incidence and mortality of renal cell carcinoma (RCC) after kidney transplantation (KTx) remain unclear. This study's aims were (1) to investigate the pooled incidence/incidence trends, and (2) to assess the mortality/mortality trends in KTx patients with RCC. Methods: A literature search was conducted using the MEDLINE, EMBASE and Cochrane databases from inception through October 2018. Studies that reported the incidence or mortality of RCC among kidney transplant recipients were included. The pooled incidence and 95% CI were calculated using a random-effect model. The protoco

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Bishay, K., Z. Meng, L. Frehlich, et al. "A116 PROPHYLACTIC CLIPPING TO PREVENT DELAYED COLONIC POST-POLYPECTOMY BLEEDING: META-ANALYSIS OF RANDOMIZED AND OBSERVATIONAL STUDIES." Journal of the Canadian Association of Gastroenterology 4, Supplement_1 (2021): 96–97. http://dx.doi.org/10.1093/jcag/gwab002.114.

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Abstract Background Delayed post-polypectomy bleeding (DPPB) is a commonly described adverse event following polypectomy. Prophylactic clipping may prevent DPPB in some patient subgroups. We performed a meta-analysis to assess both the efficacy and real-world effectiveness of prophylactic clipping. Aims We performed a meta-analysis to assess both the efficacy and real-world effectiveness of prophylactic clipping. Methods We performed a database search through March 2020 for clinical trials or observational studies assessing prophylactic clipping and DPPB. Pooled risk ratios (RR) were calculate

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Zhang, Zheqing, Luqian Yang, Wentao Han, et al. "Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis." Journal of Medical Internet Research 24, no. 3 (2022): e26634. http://dx.doi.org/10.2196/26634.

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Background Gestational diabetes mellitus (GDM) is a common endocrine metabolic disease, involving a carbohydrate intolerance of variable severity during pregnancy. The incidence of GDM-related complications and adverse pregnancy outcomes has declined, in part, due to early screening. Machine learning (ML) models are increasingly used to identify risk factors and enable the early prediction of GDM. Objective The aim of this study was to perform a meta-analysis and comparison of published prognostic models for predicting the risk of GDM and identify predictors applicable to the models. Methods F

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Zuo, Xinlei, Juan Ding, Junjian Zhang, and Wenjun Xiong. "Nonparametric Additive Regression for High-Dimensional Group Testing Data." Mathematics 12, no. 5 (2024): 686. http://dx.doi.org/10.3390/math12050686.

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Group testing has been verified as a cost-effective and time-efficient approach, where the individual samples are pooled with a predefined group size for subsequent testing. Recent research has explored the integration of covariate information to improve the modeling of the group testing data. While existing works for high-dimensional data primarily focus on parametric models, this study considers a more flexible generalized nonparametric additive model. Nonlinear components are approximated using B-splines and model estimation under the sparsity assumption is derived employing group lasso. Th

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