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Journal articles on the topic 'Mixed meta-model'

Author: Grafiati

Published: 10 November 2022

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1

Kalaian, Hripsime A., and Stephen W. Raudenbush. "A multivariate mixed linear model for meta-analysis." Psychological Methods 1, no. 3 (1996): 227–35. http://dx.doi.org/10.1037/1082-989x.1.3.227.

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LeBeau, Brandon, Yoon Ah Song, and Wei Cheng Liu. "Model Misspecification and Assumption Violations With the Linear Mixed Model: A Meta-Analysis." SAGE Open 8, no. 4 (2018): 215824401882038. http://dx.doi.org/10.1177/2158244018820380.

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This meta-analysis attempts to synthesize the Monte Carlo (MC) literature for the linear mixed model under a longitudinal framework. The meta-analysis aims to inform researchers about conditions that are important to consider when evaluating model assumptions and adequacy. In addition, the meta-analysis may be helpful to those wishing to design future MC simulations in identifying simulation conditions. The current meta-analysis will use the empirical type I error rate as the effect size and MC simulation conditions will be coded to serve as moderator variables. The type I error rate for the f

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Stram, Daniel O. "Meta-Analysis of Published Data Using a Linear Mixed-Effects Model." Biometrics 52, no. 2 (1996): 536. http://dx.doi.org/10.2307/2532893.

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Barbillon, Pierre, Célia Barthélémy, and Adeline Samson. "Parameter estimation of complex mixed models based on meta-model approach." Statistics and Computing 27, no. 4 (2016): 1111–28. http://dx.doi.org/10.1007/s11222-016-9674-x.

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Shim, Minjung, Burke Johnson, Joke Bradt, and Susan Gasson. "A Mixed Methods–Grounded Theory Design for Producing More Refined Theoretical Models." Journal of Mixed Methods Research 15, no. 1 (2020): 61–86. http://dx.doi.org/10.1177/1558689820932311.

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Current literature lacks explication of how traditional grounded theory and mixed methods–grounded theory (MM-GT) are similar/different and specific explication of how to construct MM-GT designs—our purpose is to do this. We illustrate the design process using a published study. Exploratory Phase 1 involves creation of a formative–theoretical model based on multiple implicit or explicit models identified in the literature, which are then combined into a single model using meta-modeling integration. Also, in Phase 1, a traditional grounded theory is developed “independently” using interview dat

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Nikoloulopoulos, Aristidis K. "Hybrid copula mixed models for combining case-control and cohort studies in meta-analysis of diagnostic tests." Statistical Methods in Medical Research 27, no. 8 (2016): 2540–53. http://dx.doi.org/10.1177/0962280216682376.

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Copula mixed models for trivariate (or bivariate) meta-analysis of diagnostic test accuracy studies accounting (or not) for disease prevalence have been proposed in the biostatistics literature to synthesize information. However, many systematic reviews often include case-control and cohort studies, so one can either focus on the bivariate meta-analysis of the case-control studies or the trivariate meta-analysis of the cohort studies, as only the latter contains information on disease prevalence. In order to remedy this situation of wasting data we propose a hybrid copula mixed model via a com

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Lee, Young Hoon, Yang Woo Shin, and Dug Hee Moon. "Buffer Allocation Problem Using Meta-Model in an Automotive Body Shops with Mixed-model Production." Journal of the Korean Institute of Industrial Engineers 46, no. 3 (2020): 296–308. http://dx.doi.org/10.7232/jkiie.2020.46.3.296.

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Yu, Tianwei. "Dimension reduction and mixed-effects model for microarray meta-analysis of cancer." Frontiers in Bioscience 13, no. 13 (2008): 2714. http://dx.doi.org/10.2741/2878.

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Singmann, Henrik, Karl Christoph Klauer, and David Kellen. "Intuitive Logic Revisited: New Data and a Bayesian Mixed Model Meta-Analysis." PLoS ONE 9, no. 4 (2014): e94223. http://dx.doi.org/10.1371/journal.pone.0094223.

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Vogelgesang, Felicitas, Marc Dewey, and Peter Schlattmann. "The Evaluation of Bivariate Mixed Models in Meta-analyses of Diagnostic Accuracy Studies with SAS, Stata and R." Methods of Information in Medicine 57, no. 03 (2018): 111–19. http://dx.doi.org/10.3414/me17-01-0021.

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Summary Background: Meta-analyses require a thoroughly planned procedure to obtain unbiased overall estimates. From a statistical point of view not only model selection but also model implementation in the software affects the results. Objectives: The present simulation study investigates the accuracy of different implementations of general and generalized bivariate mixed models in SAS (using proc mixed, proc glimmix and proc nlmixed), Stata (using gllamm, xtmelogit and midas) and R (using reitsma from package mada and glmer from package lme4). Both models incorporate the relationship between

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Son, Young Kap, and Gordon J. Savage. "A Simple Explicit Meta-Model for Probabilistic Design of Dynamic Systems with Multiple Mixed Inputs." International Journal of Reliability, Quality and Safety Engineering 25, no. 03 (2018): 1850011. http://dx.doi.org/10.1142/s0218539318500110.

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Most systems have multiple inputs that comprise of a mixture of excitations and component parameters. Excitations are different from component parameters in that they are always functions of time. In mechanical systems, these include applied forces, applied displacements, system settings, systems configurations and operating conditions. It would be convenient to include multiple excitations and multiple component parameters in a meta-model to take advantage of the inherent computation speed needed for timely probability-based design optimization. In the development of the meta-model in this pa

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Nikoloulopoulos, Aristidis K. "A D-vine copula mixed model for joint meta-analysis and comparison of diagnostic tests." Statistical Methods in Medical Research 28, no. 10-11 (2018): 3286–300. http://dx.doi.org/10.1177/0962280218796685.

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For a particular disease, there may be two diagnostic tests developed, where each of the tests is subject to several studies. A quadrivariate generalised linear mixed model (GLMM) has been recently proposed to joint meta-analyse and compare two diagnostic tests. We propose a D-vine copula mixed model for joint meta-analysis and comparison of two diagnostic tests. Our general model includes the quadrivariate GLMM as a special case and can also operate on the original scale of sensitivities and specificities. The method allows the direct calculation of sensitivity and specificity for each test,

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Willis, Brian H., Mohammed Baragilly, and Dyuti Coomar. "Maximum likelihood estimation based on Newton–Raphson iteration for the bivariate random effects model in test accuracy meta-analysis." Statistical Methods in Medical Research 29, no. 4 (2019): 1197–211. http://dx.doi.org/10.1177/0962280219853602.

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A bivariate generalised linear mixed model is often used for meta-analysis of test accuracy studies. The model is complex and requires five parameters to be estimated. As there is no closed form for the likelihood function for the model, maximum likelihood estimates for the parameters have to be obtained numerically. Although generic functions have emerged which may estimate the parameters in these models, they remain opaque to many. From first principles we demonstrate how the maximum likelihood estimates for the parameters may be obtained using two methods based on Newton–Raphson iteration.

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Onwuegbuzie, Anthony John, and Kathleen M. T. Collins. "The Role of Bronfenbrennerâ€™s Ecological Systems Theory in Enhancing Interpretive Consistency in Mixed Research." INTERNATIONAL JOURNAL OF RESEARCH IN EDUCATION METHODOLOGY 5, no. 2 (2014): 651–61. http://dx.doi.org/10.24297/ijrem.v5i2.3910.

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One of the nine major threats to legitimation (i.e., the degree that integration of findings leads to credible and defensible meta-inferences) is sample legitimation integration (Onwuegbuzie & Johnson, 2006). Addressing this form of legitimation requires the researcher to maintain interpretive consistency between the selected sampling design and the inferences made from the ensuing findings.Â To facilitate researchersâ€™ efforts to address interpretive consistency, in this article, we provide a meta-sampling framework that is structured in accordance to the dimensions of Bronfenbrennerâ€™s

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de-Miguel, Sergio, Lauri Mehtätalo, and Ali Durkaya. "Developing generalized, calibratable, mixed-effects meta-models for large-scale biomass prediction." Canadian Journal of Forest Research 44, no. 6 (2014): 648–56. http://dx.doi.org/10.1139/cjfr-2013-0385.

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Large-scale prediction of forest biomass is of interest for forest science, ecology, and issues related to climate change. Previous research has attempted to provide allometric models suitable for large-scale biomass prediction using different methods. We present a new approach for meta-analysis of existing biomass equations using mixed-effects modelling on simulated data. The resulting generalized meta-models can be calibrated for local conditions. This meta-analytical approach allows for directly benefiting from previous research to minimize data collection and properly take into account the

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Jain, Savita, Kanchan Jain, and Suresh K. Sharma. "Trivariate generalized non linear mixed model with transformations for meta analysis of diagnostic accuracy." Model Assisted Statistics and Applications 13, no. 1 (2018): 73–83. http://dx.doi.org/10.3233/mas-170419.

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Tu, Yu-Kang. "Linear mixed model approach to network meta-analysis for continuous outcomes in periodontal research." Journal of Clinical Periodontology 42, no. 2 (2015): 204–12. http://dx.doi.org/10.1111/jcpe.12362.

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Doebler, Philipp, Heinz Holling, and Dankmar Böhning. "A mixed model approach to meta-analysis of diagnostic studies with binary test outcome." Psychological Methods 17, no. 3 (2012): 418–36. http://dx.doi.org/10.1037/a0028091.

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Fontalvo, Mauricio Orozco, Victor Cantillo Maza, and Pablo Miranda. "A Meta-Heuristic Approach to a Strategic Mixed Inventory-Location Model: Formulation and Application." Transportation Research Procedia 25 (2017): 729–46. http://dx.doi.org/10.1016/j.trpro.2017.05.454.

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Sul, Jae Hoon, Buhm Han, Chun Ye, Ted Choi, and Eleazar Eskin. "Effectively Identifying eQTLs from Multiple Tissues by Combining Mixed Model and Meta-analytic Approaches." PLoS Genetics 9, no. 6 (2013): e1003491. http://dx.doi.org/10.1371/journal.pgen.1003491.

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Rosenberger, Kristine J., Haitao Chu, and Lifeng Lin. "Empirical comparisons of meta-analysis methods for diagnostic studies: a meta-epidemiological study." BMJ Open 12, no. 5 (2022): e055336. http://dx.doi.org/10.1136/bmjopen-2021-055336.

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ObjectivesSeveral methods are commonly used for meta-analyses of diagnostic studies, such as the bivariate linear mixed model (LMM). It estimates the overall sensitivity, specificity, their correlation, diagnostic OR (DOR) and the area under the curve (AUC) of the summary receiver operating characteristic (ROC) estimates. Nevertheless, the bivariate LMM makes potentially unrealistic assumptions (ie, normality of within-study estimates), which could be avoided by the bivariate generalised linear mixed model (GLMM). This article aims at investigating the real-world performance of the bivariate L

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Xu, Peng, Gui Chen Wang, Xiao Cai, Hai Yang Shen, and Wei Xiang Jiang. "Design and optimization of high-efficiency meta-devices based on the equivalent circuit model and theory of electromagnetic power energy storage." Journal of Physics D: Applied Physics 55, no. 19 (2022): 195303. http://dx.doi.org/10.1088/1361-6463/ac4e34.

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Abstract Meta-devices with high operation efficiency to control electromagnetic waves are of great interest in a variety of applications. In this paper, we propose a general design method to achieve maximum operating efficiency for different-function meta-devices. The method is based on the equivalent circuit model and the theory of electromagnetic energy storage. To demonstrate its validity, three different kinds of functional meta-devices, including a beam deflection meta-array, circular polarization microwave absorber and linear-to-circular polarization converter, are presented using the pr

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Böhning, D. "Meta-Analysis." Methods of Information in Medicine 44, no. 01 (2005): 127–35. http://dx.doi.org/10.1055/s-0038-1633931.

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Summary Objectives: This contribution provides a unifying concept for meta-analysis integrating the handling of unobserved heterogeneity, study covariates, publication bias and study quality. It is important to consider these issues simultaneously to avoid the occurrence of artifacts, and a method for doing so is suggested here. Methods: The approach is based upon the meta-likelihood in combination with a general linear nonparametric mixed model, which lays the ground for all inferential conclusions suggested here. Results: The concept is illustrated at hand of a meta-analysis investigating th

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Rotolo, Federico, Xavier Paoletti, Tomasz Burzykowski, Marc Buyse, and Stefan Michiels. "A Poisson approach to the validation of failure time surrogate endpoints in individual patient data meta-analyses." Statistical Methods in Medical Research 28, no. 1 (2017): 170–83. http://dx.doi.org/10.1177/0962280217718582.

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Surrogate endpoints are often used in clinical trials instead of well-established hard endpoints for practical convenience. The meta-analytic approach relies on two measures of surrogacy: one at the individual level and one at the trial level. In the survival data setting, a two-step model based on copulas is commonly used. We present a new approach which employs a bivariate survival model with an individual random effect shared between the two endpoints and correlated treatment-by-trial interactions. We fit this model using auxiliary mixed Poisson models. We study via simulations the operatin

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Cheung, Mike W. L. "A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling." Psychological Methods 13, no. 3 (2008): 182–202. http://dx.doi.org/10.1037/a0013163.

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Musekiwa, Alfred, Samuel O. M. Manda, Henry G. Mwambi, and Ding-Geng Chen. "Meta-Analysis of Effect Sizes Reported at Multiple Time Points Using General Linear Mixed Model." PLOS ONE 11, no. 10 (2016): e0164898. http://dx.doi.org/10.1371/journal.pone.0164898.

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Bellavance, François, Georges Dionne, and Martin Lebeau. "The value of a statistical life: A meta-analysis with a mixed effects regression model." Journal of Health Economics 28, no. 2 (2009): 444–64. http://dx.doi.org/10.1016/j.jhealeco.2008.10.013.

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Hoyer, Annika, and Oliver Kuss. "Meta-analysis for the comparison of two diagnostic tests to a common gold standard: A generalized linear mixed model approach." Statistical Methods in Medical Research 27, no. 5 (2016): 1410–21. http://dx.doi.org/10.1177/0962280216661587.

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Meta-analysis of diagnostic studies is still a rapidly developing area of biostatistical research. Especially, there is an increasing interest in methods to compare different diagnostic tests to a common gold standard. Restricting to the case of two diagnostic tests, in these meta-analyses the parameters of interest are the differences of sensitivities and specificities (with their corresponding confidence intervals) between the two diagnostic tests while accounting for the various associations across single studies and between the two tests. We propose statistical models with a quadrivariate

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Menke, J. "Bivariate Random-effects Meta-analysis of Sensitivity and Specificity with SAS PROC GLIMMIX." Methods of Information in Medicine 49, no. 01 (2010): 54–64. http://dx.doi.org/10.3414/me09-01-0001.

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Summary Objectives: Meta-analysis allows to summarize pooled sensitivities and specificities from several primary diagnostic test accuracy studies. Often these pooled estimates are indirectly obtained from a hierarchical summary receiver operating characteristics (HSROC) analysis. This article presents a generalized linear random-effects model with the new SAS PROC GLIMMIX that obtains the pooled estimates for sensitivity and specificity directly. Methods: Firstly, the formula of the bivariate random-effects model is presented in context with the literature. Then its implementation with the ne

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Xu, Xiru, Woruo Ye, Hanqing Chen, Ming Liu, Weimin Jiang, and Zhuyuan Fang. "Association of endothelial nitric oxide synthase intron 4a/b gene polymorphisms and hypertension: a systematic review and meta-analysis." Journal of International Medical Research 49, no. 11 (2021): 030006052097923. http://dx.doi.org/10.1177/0300060520979230.

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Objective We conducted meta-analysis of relevant case-control trials to determine the association between endothelial nitric oxide synthase (eNOS) intron 4a/b gene polymorphisms and hypertension susceptibility. Methods We searched the PubMed, Cochrane, and Embase databases using relevant keywords and reviewed pertinent literature sources. All articles published up to July 2019 were considered for inclusion. Based on the qualified studies, we performed a meta-analysis of the associations between eNOS intron 4a/b polymorphisms and the risk of hypertension. Results Fourteen studies were included

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Sharma, Aswant Kumar, and Dhanesh Kumar Sambariya. "Mixed Method for Model Order Reduction Using Meta Heuristic Harris Hawk and Routh Hurwitz Array Technique." Indian Journal of Science and Technology 14, no. 28 (2021): 2380–90. http://dx.doi.org/10.17485/ijst/v14i28.1054.

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Zell, Jürgen, Gerald Kändler, and Marc Hanewinkel. "Predicting constant decay rates of coarse woody debris—A meta-analysis approach with a mixed model." Ecological Modelling 220, no. 7 (2009): 904–12. http://dx.doi.org/10.1016/j.ecolmodel.2009.01.020.

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López-López, José Antonio, Fulgencio Marín-Martínez, Julio Sánchez-Meca, Wim Van den Noortgate, and Wolfgang Viechtbauer. "Estimation of the predictive power of the model in mixed-effects meta-regression: A simulation study." British Journal of Mathematical and Statistical Psychology 67, no. 1 (2013): 30–48. http://dx.doi.org/10.1111/bmsp.12002.

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Chu, Haitao, and Stephen R. Cole. "Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach." Journal of Clinical Epidemiology 59, no. 12 (2006): 1331–32. http://dx.doi.org/10.1016/j.jclinepi.2006.06.011.

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Sacot, Arnau, Víctor López-Ros, Anna Prats-Puig, Jesús Escosa, Jordi Barretina, and Julio Calleja-González. "Multidisciplinary Neuromuscular and Endurance Interventions on Youth Basketball Players: A Systematic Review with Meta-Analysis and Meta-Regression." International Journal of Environmental Research and Public Health 19, no. 15 (2022): 9642. http://dx.doi.org/10.3390/ijerph19159642.

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The main aims of this systematic review with meta-analysis and meta-regression were to describe the effect of multidisciplinary neuromuscular and endurance interventions, including plyometric training, mixed strength and conditioning, HIIT basketball programs and repeated sprint training on youth basketball players considering age, competitive level, gender and the type of the intervention performed to explore a predictive model through a meta-regression analysis. A structured search was conducted following PRISMA guidelines and PICOS model in Medline (PubMed), Web of Science (WOS) and Cochran

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Man, Rongzhou, and Ken J. Greenway. "Meta-analysis of understory white spruce response to release from overstory aspen." Forestry Chronicle 80, no. 6 (2004): 694–704. http://dx.doi.org/10.5558/tfc80694-6.

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Meta-analysis was used to summarize the research results on the growth response of understory white spruce to release from overstory aspen from different studies available from published and unpublished sources. The data were screened for the suitability for meta-analysis. Treatment effect sizes were calculated using response ratio from mean cumulative increments of released and control trees since release in height, diameter, and volume and modeled using a polynomial mixed effect regression procedure. Predictor variables include linear, quadratic, and cubic components of three independent var

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Bracio, Klaudia, and Marek Szarucki. "Mixed Methods Utilisation in Innovation Management Research: A Systematic Literature Review and Meta-Summary." Journal of Risk and Financial Management 13, no. 11 (2020): 252. http://dx.doi.org/10.3390/jrfm13110252.

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The main purpose of this article is to explore the application of mixed methods research in the innovation management sub-discipline utilizing a systematic literature review and meta-summary analysis. Regardless of the growing number of studies in innovation management there is still a lack of research that integrates and synthesizes this body of knowledge. Our review of 93 articles from Web of Science and Scopus databases, including content analysis, presents trends and research background in innovation management that use the mixed methods approach. This study addresses the inconsistencies i

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Izci, Hava, Tim Tambuyzer, Krizia Tuand, et al. "A Systematic Review of Estimating Breast Cancer Recurrence at the Population Level With Administrative Data." JNCI: Journal of the National Cancer Institute 112, no. 10 (2020): 979–88. http://dx.doi.org/10.1093/jnci/djaa050.

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Abstract Background Exact numbers of breast cancer recurrences are currently unknown at the population level, because they are challenging to actively collect. Previously, real-world data such as administrative claims have been used within expert- or data-driven (machine learning) algorithms for estimating cancer recurrence. We present the first systematic review and meta-analysis, to our knowledge, of publications estimating breast cancer recurrence at the population level using algorithms based on administrative data. Methods The systematic literature search followed Preferred Reporting Item

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Hedges, Larry V. "Meta-Analysis." Journal of Educational Statistics 17, no. 4 (1992): 279–96. http://dx.doi.org/10.3102/10769986017004279.

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The use of statistical methods to combine the results of independent empirical research studies (meta-analysis) has a long history. Meta-analytic work can be divided into two traditions: tests of the statistical significance of combined results and methods for combining estimates across studies. The principal classes of combined significance tests are reviewed, and the limitations of these tests are discussed. Fixed effects approaches treat the effect magnitude parameters to be estimated as a consequence of a model involving fixed but unknown constants. Random effects approaches treat effect m

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Divsalar, Masoomeh, Reza Hassanzadeh, Iraj Mahdavi, and Nezam Mahdavi-Amiri. "Reserve Capacity of Mixed Urban Road Networks, Network Configuration and Signal Settings." International Journal of Applied Industrial Engineering 4, no. 1 (2017): 44–64. http://dx.doi.org/10.4018/ijaie.2017010103.

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The authors formulate the transportation mixed network design problem (MNDP) as a mixed-integer bi-level mathematical problem, based on the concept of reserve capacity. The upper level goal is to maximize the reserve capacity by signal settings at intersections, determine street direction and increase street capacities via addition of lanes. The lower level problem is a deterministic user equilibrium traffic assignment problem to minimize the user travel time. The model being non-convex, meta-heuristic methods are used to solve the problem. A hybridization of genetic algorithm with simulated a

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N Nyaga, Victoria, Marc Arbyn, and Marc Aerts. "Beta-binomial analysis of variance model for network meta-analysis of diagnostic test accuracy data." Statistical Methods in Medical Research 27, no. 8 (2016): 2554–66. http://dx.doi.org/10.1177/0962280216682532.

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There are several generalized linear mixed models to combine direct and indirect evidence on several diagnostic tests from related but independent diagnostic studies simultaneously also known as network meta-analysis. The popularity of these models is due to the attractive features of the normal distribution and the availability of statistical software to obtain parameter estimates. However, modeling the latent sensitivity and specificity using the normal distribution after transformation is neither natural nor computationally convenient. In this article, we develop a meta-analytic model based

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Burdon, Jeremy, Patrick Connolly, Nihal de Silva, Nagin Lallu, Jonathan Dixon, and Henry Pak. "A meta-analysis using a logit non-linear mixed effects model for ‘Hass’ avocado postharvest performance data." Postharvest Biology and Technology 86 (December 2013): 134–40. http://dx.doi.org/10.1016/j.postharvbio.2013.06.023.

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Holling, Heinz, Walailuck Böhning, and Dankmar Böhning. "Meta-analysis of diagnostic studies based upon SROC-curves: a mixed model approach using the Lehmann family." Statistical Modelling: An International Journal 12, no. 4 (2012): 347–75. http://dx.doi.org/10.1177/1471082x1201200403.

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Gu, Chi, M. Province, and D. C. Rao. "Meta-analysis of genetic linkage to quantitative trait loci with study-specific covariates: A mixed-effects model." Genetic Epidemiology 17, S1 (1999): S599—S604. http://dx.doi.org/10.1002/gepi.1370170797.

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Nguyen, Duy Vu Anh, and Ha Thi Mai Phan. "Quay cranes scheduling at mixed cargo ports cargo ports in Viet Nam." Science and Technology Development Journal 20, K6 (2017): 29–34. http://dx.doi.org/10.32508/stdj.v20ik6.1168.

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Quay cranes are used to discharge cargo from and load onto a vessel. The throughput of a port highly depends on the efficient operations of quay cranes. In Vietnam ports, the cargo ports not only receive containers, but also other kinds of cargo. This study focuses on the scheduling problem of the quay cranes in these ports. The mathematical model is developed, and a meta-heuristic algorithm is used to solve the problems in reasonable computation time. The numerical examples are used to validate the performance of the algorithm.

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Malouff, John M., Einar B. Thorsteinsson, Sally E. Rooke, and Nicola S. Schutte. "Alcohol Involvement and the Five-Factor Model of Personality: A Meta-Analysis." Journal of Drug Education 37, no. 3 (2007): 277–94. http://dx.doi.org/10.2190/de.37.3.d.

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The purpose of this meta-analysis was to quantify the relationship between the Five-Factor Model of personality and alcohol involvement and to identify moderators of the relationship. The meta-analysis included 20 studies, 119 effect sizes, and 7,886 participants. Possible moderators examined included: five-factor rating type (self vs. other); study time-frame (cross sectional vs. longitudinal); sample type (treatment vs. non-treatment); type of alcohol involvement measure used; gender of the participants; and age of the participants. The meta-analysis showed alcohol involvement was associated

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Liu, Mingyu, Jian Yi, and Wenwen Tang. "Association between angiotensin converting enzyme gene polymorphism and essential hypertension: A systematic review and meta-analysis." Journal of the Renin-Angiotensin-Aldosterone System 22, no. 1 (2021): 147032032199507. http://dx.doi.org/10.1177/1470320321995074.

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Background:The current meta-analytic study explored the relation between ACE gene insertion/deletion (I/D), and the risk of EH by reviewing relevant trials so as to determine the association between Angiotensin Converting Enzyme (ACE) gene polymorphism and essential hypertension (EH) susceptibility.Methods:Relevant studies published before May 2019 were collected from the PubMed, Cochrane, Embase, CNKI, VANFUN, and VIP databases.Results:Fifty-seven studies involving a total of 32,862 patients were included. These studies found that ACE gene D allele was associated with higher EH susceptibility

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Li, Zuchuan, and Nicolas Cassar. "A mechanistic model of an upper bound on oceanic carbon export as a function of mixed layer depth and temperature." Biogeosciences 14, no. 22 (2017): 5015–27. http://dx.doi.org/10.5194/bg-14-5015-2017.

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Abstract. Export production reflects the amount of organic matter transferred from the ocean surface to depth through biological processes. This export is in large part controlled by nutrient and light availability, which are conditioned by mixed layer depth (MLD). In this study, building on Sverdrup's critical depth hypothesis, we derive a mechanistic model of an upper bound on carbon export based on the metabolic balance between photosynthesis and respiration as a function of MLD and temperature. We find that the upper bound is a positively skewed bell-shaped function of MLD. Specifically, t

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Plow, Matthew, Shirley M. Moore, Martha Sajatovic, and Irene Katzan. "A mixed methods study of multiple health behaviors among individuals with stroke." PeerJ 5 (May 23, 2017): e3210. http://dx.doi.org/10.7717/peerj.3210.

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Abstract:

Background Individuals with stroke often have multiple cardiovascular risk factors that necessitate promoting engagement in multiple health behaviors. However, observational studies of individuals with stroke have typically focused on promoting a single health behavior. Thus, there is a poor understanding of linkages between healthy behaviors and the circumstances in which factors, such as stroke impairments, may influence a single or multiple health behaviors. Methods We conducted a mixed methods convergent parallel study of 25 individuals with stroke to examine the relationships between stro

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Kamp, Jasper, Erik Olofsen, Thomas K. Henthorn, Monique van Velzen, Marieke Niesters, and Albert Dahan. "Ketamine Pharmacokinetics." Anesthesiology 133, no. 6 (2020): 1192–213. http://dx.doi.org/10.1097/aln.0000000000003577.

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Abstract:

Background Several models describing the pharmacokinetics of ketamine are published with differences in model structure and complexity. A systematic review of the literature was performed, as well as a meta-analysis of pharmacokinetic data and construction of a pharmacokinetic model from raw data sets to qualitatively and quantitatively evaluate existing ketamine pharmacokinetic models and construct a general ketamine pharmacokinetic model. Methods Extracted pharmacokinetic parameters from the literature (volume of distribution and clearance) were standardized to allow comparison among studies

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