Relevant bibliographies by topics / Nonlinear mediation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Nonlinear mediation'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Nonlinear mediation"

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Loeys, Tom, Beatrijs Moerkerke, Olivia De Smet, Ann Buysse, Johan Steen, and Stijn Vansteelandt. "Flexible Mediation Analysis in the Presence of Nonlinear Relations: Beyond the Mediation Formula." Multivariate Behavioral Research 48, no. 6 (2013): 871–94. http://dx.doi.org/10.1080/00273171.2013.832132.

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Smith, E. Keith, Michael G. Lacy, and Adam Mayer. "Performance simulations for categorical mediation: Analyzing khb estimates of mediation in ordinal regression models." Stata Journal: Promoting communications on statistics and Stata 19, no. 4 (2019): 913–30. http://dx.doi.org/10.1177/1536867x19893638.

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Standard mediation techniques for fitting mediation models cannot readily be translated to nonlinear regression models because of scaling issues. Methods to assess mediation in regression models with categorical and limited response variables have expanded in recent years, and these techniques vary in their approach and versatility. The recently developed khb technique purports to solve the scaling problem and produce valid estimates across a range of nonlinear regression models. Prior studies demonstrate that khb performs well in binary logistic regression models, but performance in other mod
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Albert, Jeffrey M. "Distribution-Free Mediation Analysis for Nonlinear Models with Confounding." Epidemiology 23, no. 6 (2012): 879–88. http://dx.doi.org/10.1097/ede.0b013e31826c2bb9.

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De Vera, Luis, Rubén V. Rial, Ernesto Pereda, and Julián J. González. "Autonomic mediation of the interdependence between variability signals of heart rate and blood pressure in the lizard Gallotia galloti." Canadian Journal of Zoology 90, no. 7 (2012): 839–48. http://dx.doi.org/10.1139/z2012-052.

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Autonomic nervous system (ANS) involvement in the mediation of the synchronization between beat-to-beat RR interval variability (RRIV) and systolic blood pressure variability (SBPV) signals of the lizard Gallotia galloti (Oudart, 1839) was investigated through linear and nonlinear time series analysis methods in a pharmacological blockade context. The ANS blockers used were atropine, prazosin, and propranolol. The interdependence between the signals was quantified by means of the magnitude-squared coherence (MSC), which measures amplitude and phase linear synchronization; the phase lag index (
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Zhang, Wenjia, Daming Lu, Yanyan Chen, and Chengcheng Liu. "Land use densification revisited: Nonlinear mediation relationships with car ownership and use." Transportation Research Part D: Transport and Environment 98 (September 2021): 102985. http://dx.doi.org/10.1016/j.trd.2021.102985.

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Geldhof, G. John, Katherine P. Anthony, James P. Selig, and Carolyn A. Mendez-Luck. "Accommodating binary and count variables in mediation." International Journal of Behavioral Development 42, no. 2 (2017): 300–308. http://dx.doi.org/10.1177/0165025417727876.

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The existence of several accessible sources has led to a proliferation of mediation models in the applied research literature. Most of these sources assume endogenous variables (e.g., M, and Y) have normally distributed residuals, precluding models of binary and/or count data. Although a growing body of literature has expanded mediation models to include more diverse data types, the nonlinearity of these models presents a substantial hurdle to their implementation and interpretation. The present study extends the existing literature (e.g., Hayes & Preacher, 2010; Stolzenberg, 1980) to prop
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Liu, Wei, John P. Haran, Arlene S. Ash, et al. "High-dimensional Causal Mediation Analysis with a Large Number of Mediators Clumping at Zero to Assess the Contribution of the Microbiome to the Risk of Bacterial Pathogen Colonization in Older Adults." Current Bioinformatics 15, no. 7 (2020): 671–96. http://dx.doi.org/10.2174/1574893614666191115123219.

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Background: Causal mediation analysis is conducted in biomedical research with the goal of investigating causal mechanisms that consist of both direct causal pathways between the treatment and outcome variables and intermediate causal pathways through mediators. Recently, this type of analysis has been applied in the context of bioinformatics; however, it encounters the obstacle of high-dimensional and semi-continuous mediators with clumping at zero. Methods: In this article, we develop a methodology to conduct high-dimensional causal mediation analysis with a modeling framework that involves
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Cheng, Jing, Nancy F. Cheng, Zijian Guo, Steven Gregorich, Amid I. Ismail, and Stuart A. Gansky. "Mediation analysis for count and zero-inflated count data." Statistical Methods in Medical Research 27, no. 9 (2017): 2756–74. http://dx.doi.org/10.1177/0962280216686131.

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Different conventional and causal approaches have been proposed for mediation analysis to better understand the mechanism of a treatment. Count and zero-inflated count data occur in biomedicine, economics, and social sciences. This paper considers mediation analysis for count and zero-inflated count data under the potential outcome framework with nonlinear models. When there are post-treatment confounders which are independent of, or affected by, the treatment, we first define the direct, indirect, and total effects of our interest and then discuss various conditions under which the effects of
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Hayes, Andrew F., and Kristopher J. Preacher. "Quantifying and Testing Indirect Effects in Simple Mediation Models When the Constituent Paths Are Nonlinear." Multivariate Behavioral Research 45, no. 4 (2010): 627–60. http://dx.doi.org/10.1080/00273171.2010.498290.

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Bhattarai, Sanju, Birgit Tandstad, Archana Shrestha, Biraj Karmacharya, and Abhijit Sen. "Socioeconomic Status and Its Relation to Hypertension in Rural Nepal." International Journal of Hypertension 2021 (August 28, 2021): 1–9. http://dx.doi.org/10.1155/2021/5542438.

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Introduction. Hypertension and its association with socioeconomic positions are well established. However, the gradient of these relationships and the mediating role of lifestyle factors among rural population in low- and middle-income countries such as Nepal are not fully understood. We sought to assess the association between socioeconomic factors (education, income, and employment status) and hypertension. Also, we assessed whether the effect of education and income level on hypertension was mediated by lifestyle factors. Methods. This cross-sectional study was conducted among 260 participa
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Dissertations / Theses on the topic "Nonlinear mediation"

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Lockhart, Lester Leland. "Nonlinear mediation in clustered data : a nonlinear multilevel mediation model." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-05-2733.

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Mediational analysis quantifies proposed causal mechanisms through which treatments act on outcomes. In the presence of clustered data, conventional multiple regression mediational methods break down, requiring the use of hierarchical linear modeling techniques. As an additional consideration, nonlinear relationships in multilevel mediation models require unique specifications that are ignored if modeled linearly. Improper specification of nonlinear relationships can lead to a consistently overestimated mediated effect. This has direct implications for inferences regarding intervention causali
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Lockhart, Lester Leland. "Nonlinear mediation in clustered data : a nonlinear multilevel mediation model." 2012. http://hdl.handle.net/2152/19599.

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Mediational analysis quantifies proposed causal mechanisms through which treatments act on outcomes. In the presence of clustered data, conventional multiple regression mediational methods break down, requiring the use of hierarchical linear modeling techniques. As an additional consideration, nonlinear relationships in multilevel mediation models require unique specifications that are ignored if modeled linearly. Improper specification of nonlinear relationships can lead to a consistently overestimated mediated effect. This has direct implications for inferences regarding intervention causali
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CHUANG, SHU-HUEI, and 莊淑惠. "A Test of Moderating /Mediating and Linear / Nonlinear relationship between Quality, Satisfaction, and Loyalty." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/23413794422849938662.

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碩士<br>玄奘大學<br>國際企業學系碩士班<br>96<br>Based on existing literature, this study constructs alternative relationships between quality, satisfaction, and loyalty and tests these relationships with users of automobiles and cosmetics respectively. The purpose of this study is to clarify the confusing causal paths and linear vs. nonlinear relationships between these important constructs, and therefore, to understand the relative accuracy of alternative competing models. The results of hierarchical regression analysis indicate that: Satisfaction is a full mediator between quality and loyalty, but qual
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Book chapters on the topic "Nonlinear mediation"

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Pearl, Judea. "The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models." In Causality. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119945710.ch12.

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Hu, Die, Maoyan She, and Xue Yang. "How Does Environmental Regulation Enhance Firms’ Competitiveness Through Innovation Incentive in China? A Nonlinear Mediating Model for the Porter Hypothesis." In Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49829-0_60.

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Conference papers on the topic "Nonlinear mediation"

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Ferreri, Suzanne, and Yi-Xian Qin. "Alteration of Bone’s Nonlinear Elastic and Viscoelastic Nanomechanical Properties Is Triggered by Low Intensity Pulsed Ultrasound." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206711.

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Dynamic mechanotransduction, particularly under high frequency, low amplitude signals, has been proven effective in mediating bone loss and improving mechanical strength for tissues affected by estrogen deficient osteopenia. Ultrasound, which behaves as an alternating pressure wave in bone, may offer an effective, non-invasive technology for delivery of anabolic signals. In vitro, dynamic mechanical signals delivered using ultrasound have been shown to increase osteoblast proliferation [1], and in vivo studies have established ultrasound as an effective treatment for delayed and non-union frac
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Reports on the topic "Nonlinear mediation"

1

Pearl, Judea. The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada557435.

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