Relevant bibliographies by topics / Multilevel Regression Analysis

Contents

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

Academic literature on the topic 'Multilevel Regression Analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Multilevel Regression Analysis"

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Muthén, Bengt, and Tihomir Asparouhov. "Multilevel regression mixture analysis." Journal of the Royal Statistical Society: Series A (Statistics in Society) 172, no. 3 (2009): 639–57. http://dx.doi.org/10.1111/j.1467-985x.2009.00589.x.

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Maas, Cora J. M., and Joop J. Hox. "Robustness issues in multilevel regression analysis." Statistica Neerlandica 58, no. 2 (2004): 127–37. http://dx.doi.org/10.1046/j.0039-0402.2003.00252.x.

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Maldonado, Luis. "Data Analysis Using Regression and Multilevel/Hierarchical Models." Persona y Sociedad 26, no. 1 (2012): 191. http://dx.doi.org/10.53689/pys.v26i1.12.

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En cursos de métodos estadísticos avanzados, habitualmente son utilizados textos econométricos como principal referencia. Sin embargo, econometría es sólo una perspectiva a partir de la cual se puede aprender estadística. Una alternativa la ofrece la disciplina de la estadística misma, en donde conceptos tales como variabilidad de los coefi cientes, incerteza en torno a dicha variabilidad o simulación, son de uso común en la actualidad. Lamentablemente, la discusión en torno a dichos conceptos es frecuentemente planteada en términos altamente matemáticos, lo cual hace difícil el estudio de mét
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Wong, George Y., and William M. Mason. "The Hierarchical Logistic Regression Model for Multilevel Analysis." Journal of the American Statistical Association 80, no. 391 (1985): 513–24. http://dx.doi.org/10.1080/01621459.1985.10478148.

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Longford, N. T. "Regression analysis of multilevel data with measurement error." British Journal of Mathematical and Statistical Psychology 46, no. 2 (1993): 301–11. http://dx.doi.org/10.1111/j.2044-8317.1993.tb01018.x.

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Livingston, Michael. "Multilevel Analysis for Applied Research-It's Just Regression!" Drug and Alcohol Review 28, no. 1 (2009): 91–92. http://dx.doi.org/10.1111/j.1465-3362.2008.00013_5.x.

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Furlow, Carolyn F., and Phill Gagné. "Multilevel Analysis for Applied Research: It's Just Regression." Structural Equation Modeling: A Multidisciplinary Journal 15, no. 2 (2008): 370–75. http://dx.doi.org/10.1080/10705510801922670.

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Camilli, Gregory, Jimmy de la Torre, and Chia-Yi Chiu. "A Noncentral t Regression Model for Meta-Analysis." Journal of Educational and Behavioral Statistics 35, no. 2 (2010): 125–53. http://dx.doi.org/10.3102/1076998609346966.

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In this article, three multilevel models for meta-analysis are examined. Hedges and Olkin suggested that effect sizes follow a noncentral t distribution and proposed several approximate methods. Raudenbush and Bryk further refined this model; however, this procedure is based on a normal approximation. In the current research literature, this approximate procedure has not been compared to one based directly on the noncentral t distribution, which is the approach taken in this article. A multilevel model is presented, and estimation is carried out on a real data set using the Markov chain Monte
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De Leeuw, Jan, and Ita Kreft. "Random Coefficient Models for Multilevel Analysis." Journal of Educational Statistics 11, no. 1 (1986): 57–85. http://dx.doi.org/10.3102/10769986011001057.

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We propose a possible statistical model for both contextual analysis and slopes as outcomes analysis. These techniques have been used in multilevel analysis for quite some time, but a precise specification of the regression models has not been given before. We formalize them by proposing a random coefficient regression model, and we investigate its statistical properties in some detail. Various estimation methods are reviewed and applied to Dutch school-career example.
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Kobayashi, Yuichiro. "Identifying L2 Developmental Indices while Controlling for L1 Effects: A Multilevel Ordinal Logistic Regression Analysis." Journal of Pan-Pacific Association of Applied Linguistics 25, no. 2 (2021): 87–104. http://dx.doi.org/10.25256/paal.25.2.5.

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Dissertations / Theses on the topic "Multilevel Regression Analysis"

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Martin, Emilie. "Teacher Self-Efficacy and Student Achievement: From Measurement Clarifications to Multilevel Regression Modeling." Doctoral thesis, Universite Libre de Bruxelles, 2017. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/252138.

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Le Sentiment d'Efficacité Personnelle (SEP) des enseignants fait référence aux croyances que se font ces derniers de leur capacité à accomplir avec succès les tâches liées à leur mission d'enseignement. Le premier objectif de notre recherche vise à répondre aux critiques qui déplorent le manque de validation rigoureuse dont les échelles de SEP ont généralement fait l'objet. Pour ce faire, nous testons, sur base d’analyses factorielles confirmatoires, la validité de trois échelles couramment utilisées dans la littérature anglo-saxonne. La première échelle de mesure, intitulée "Teacher Efficacy
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Pan, Tianshu. "Using the multivariate multilevel logistic regression model to detect DIF a comparison with HGLM and logistic regression DIF detection methods /." Diss., Connect to online resource - MSU authorized users, 2008.

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Thesis (PH. D.)--Michigan State University. Measurement and Quantitative Methods, 2008.<br>Title from PDF t.p. (viewed on Sept. 8, 2009) Includes bibliographical references (p. 85-89). Also issued in print.
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Feng, Yuanjian. "Detection and Characterization of Multilevel Genomic Patterns." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/38577.

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DNA microarray has become a powerful tool in genetics, molecular biology, and biomedical research. DNA microarray can be used for measuring the genotypes, structural changes, and gene expressions of human genomes. Detection and characterization of multilevel, high-throughput microarray genomic data pose new challenges to statistical pattern recognition and machine learning research. In this dissertation, we propose novel computational methods for analyzing DNA copy number changes and learning the trees of phenotypes using DNA microarray data. DNA copy number change is an important form of str
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VACCARELLA, SALVATORE. "A multilevel logistic regression model for the analyses of concurrent Human papillomavirus (HPV) infections." Doctoral thesis, Università degli Studi di Milano, 2007. http://hdl.handle.net/2434/33629.

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Human Papillomavirus (HPV) is a sexually transmitted infection that causes cervical cancer. A nested three-level logistic regression model was introduced in order to investigate whether, in the IARC HPV prevalence surveys, co-infection with different HPV types occurs more or less frequently than expected if the infections are independent from one another. Two random effects, at individual and study-area level, were specified, while the fixed-effect covariates at individual level were age and lifetime number of sexual partners. The Best Linear Unbiased Predictors (BLUP) technique was used to es
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COLAGROSSI, MARCO. "META-ANALYSIS AND META-REGRESSION ANALYSIS IN ECONOMICS: METHODOLOGY AND APPLICATIONS." Doctoral thesis, Università Cattolica del Sacro Cuore, 2017. http://hdl.handle.net/10280/19697.

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A partire dagli anni ’80, la diffusione dei metodi statistici, abbinata ai progressi nelle capacità computazionali dei personal computers, ha progressivamente facilitato i ricercatori nel testare empiricamente le proprie teorie. Gli economisti sono diventati in grado di eseguire milioni di regressioni prima di pranzo senza abbandonare le proprie scrivanie. Purtroppo, ciò ha portato ad un accumulo di evidenze spesso eterogenee, quando non contradditorie se non esplicitamente in conflitto. Per affrontare il problema, questa tesi fornirà una panoramica dei metodi meta-analitici disponibili in eco
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COLAGROSSI, MARCO. "META-ANALYSIS AND META-REGRESSION ANALYSIS IN ECONOMICS: METHODOLOGY AND APPLICATIONS." Doctoral thesis, Università Cattolica del Sacro Cuore, 2017. http://hdl.handle.net/10280/19697.

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A partire dagli anni ’80, la diffusione dei metodi statistici, abbinata ai progressi nelle capacità computazionali dei personal computers, ha progressivamente facilitato i ricercatori nel testare empiricamente le proprie teorie. Gli economisti sono diventati in grado di eseguire milioni di regressioni prima di pranzo senza abbandonare le proprie scrivanie. Purtroppo, ciò ha portato ad un accumulo di evidenze spesso eterogenee, quando non contradditorie se non esplicitamente in conflitto. Per affrontare il problema, questa tesi fornirà una panoramica dei metodi meta-analitici disponibili in eco
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Teney, Céline. "Acculturation and prejudice against sociological minorities among Brussels youth: a multilevel regression approach." Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210220.

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This thesis aims at analysing the attitudes of youngsters in Brussels towards sociological minorities. The term “minorities” is used to refer to the main social groups that suffer from subordination and misrecognition by the wider society according to the philosophical theory of recognition: women, lesbians and gay men, and ethnic minorities. Our dataset is composed of a sample of seventy schools in the Brussels Capital Region. In total, three thousand one hundred and twenty one pupils attending in 2007 the last grade of secondary education participated in the study. About half of the sample c
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CABRINI, RICCARDO. "Multilevel structure-function relationship in impaired stream ecosystems . From theory to management applications." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2013. http://hdl.handle.net/10281/42256.

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Increasing urbanization across the world has led to increased research on ecology in urban settings in the last decade. Urban ecological studies have investigated both impacts of urban development on native ecosystems and the dynamics of urban environments themselves as ecosystems. In both areas of research, streams of urban areas have an important part to play because their position in the landscape makes these ecosystems particularly vulnerable to impacts associated with landcover change. Urban stream ecosystems are affected by multiple stressors and their effects are synthetized in the “u
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Hudacs, Andrew. "An Examination Of College Persistence Factors For Students From Different Rural Communities: A Multilevel Analysis." ScholarWorks @ UVM, 2017. http://scholarworks.uvm.edu/graddis/682.

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Students transitioning into college from public school require more than just academic readiness; they also need the personal attributes that allow them to successfully transition into a new community (Braxton, Doyle, Hartley III, Hirschy, Jones, & McLendon, 2014; Nora, 2002; Nora, 2004; Tinto, 1975). Rural students have a different educational experience than their peers at schools in suburban and urban locations (DeYoung & Howley, 1990; Gjelten, 1982). Additionally, the resources, culture, and educational opportunities at rural schools also vary among different types of rural communities. Al
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Bani-Mustafa, Ahmed. "Recursive residuals and estimation for mixed models." Thesis, View thesis, 2004. http://handle.uws.edu.au:8081/1959.7/704.

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In the last three decades recursive residuals and estimation have received extensive attention as important and powerful tools in providing a diagnostic test of the structural change and functional misspecification in regression models. Recursive residuals and their relationship with recursive estimation of regression parameters have been developed for fixed effect models. Such residuals and estimation have been used to test the constancy of regression models over time and their usage has been suggested for almost all areas of regression model validation. These recursive techniques have not be
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Books on the topic "Multilevel Regression Analysis"

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Hox, J. J. Applied multilevel analysis. 2nd ed. TT-Publikaties, 1995.

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Gelman, Andrew. Data analysis using regression and multilevel/hierarchical models. Cambridge University Press, 2007.

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Hox, J. J. Multilevel analysis: Techniques and applications. 2nd ed. Routledge, 2010.

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Hox, J. J., and J. Kyle Roberts. Handbook of advanced multilevel analysis. Routledge, 2011.

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de, Leeuw Jan, and Meijer Erik 1963-, eds. Handbook of multilevel analysis. Springer, 2008.

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de, Leeuw Jan, and Meijer Erik 1963-, eds. Handbook of multilevel analysis. Springer, 2008.

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de, Leeuw Jan, and Meijer Erik 1963-, eds. Handbook of multilevel analysis. Springer, 2008.

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(EDT), Skidmore/ Smith/ Cram101. Studyguide for multilevel analysis for applied research: Its just regression! by bickel, robert. Cram101 Incorporated, 2013.

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Jiang, Jiming. Robust Mixed Model Analysis. World Scientific Publishing Co Pte Ltd, 2019.

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author, Ieno Elena N., ed. Beginner's guide to zero-inflated models with R. Highland Statistics Ltd., 2016.

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Book chapters on the topic "Multilevel Regression Analysis"

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Hox, Joop J., Mirjam Moerbeek, and Rens van de Schoot. "Multivariate Multilevel Regression Models." In Multilevel Analysis. Routledge, 2017. http://dx.doi.org/10.4324/9781315650982-10.

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Hox, Joop J., Mirjam Moerbeek, and Rens van de Schoot. "The Basic Two-Level Regression Model." In Multilevel Analysis. Routledge, 2017. http://dx.doi.org/10.4324/9781315650982-2.

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Hox, Joop J., Mirjam Moerbeek, and Rens van de Schoot. "Estimation and Hypothesis Testing in Multilevel Regression." In Multilevel Analysis. Routledge, 2017. http://dx.doi.org/10.4324/9781315650982-3.

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Hox, Joop J., Mirjam Moerbeek, and Rens van de Schoot. "Sample Sizes and Power Analysis in Multilevel Regression." In Multilevel Analysis. Routledge, 2017. http://dx.doi.org/10.4324/9781315650982-12.

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Shiverdecker, Levi K., and James M. LeBreton. "A primer on multilevel (random coefficient) regression modeling." In The handbook of multilevel theory, measurement, and analysis. American Psychological Association, 2019. http://dx.doi.org/10.1037/0000115-018.

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Ornstein, Joseph T. "Getting the Most Out of Surveys: Multilevel Regression and Poststratification." In Texts in Quantitative Political Analysis. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-12982-7_5.

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AbstractGood causal inference requires good measurement; even the most thoughtfully designed research can be derailed by noisy data. Because policy scholars are often interested in public opinion as a key dependent or independent variable, paying careful attention to the sources of measurement error from surveys is an essential step toward detecting causation. This chapter introduces multilevel regression and poststratification (MRP), a method for adjusting public opinion estimates to account for observed imbalances between the survey sample and population of interest. It covers the history of
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Liefbroer, Aart C., and Mioara Zoutewelle-Terovan. "Meta-Analysis and Meta-Regression: An Alternative to Multilevel Analysis When the Number of Countries Is Small." In Social Background and the Demographic Life Course: Cross-National Comparisons. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67345-1_6.

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AbstractHierarchically nested data structures are often analyzed by means of multilevel techniques. A common situation in cross-national comparative research is data on two levels, with information on individuals at level 1 and on countries at level 2. However, when dealing with few level-2 units (e.g. countries), results from multilevel models may be unreliable due to estimation bias (e.g. underestimated standard errors, unreliable country-level variance estimates). This chapter provides a discussion on multilevel modeling inaccuracies when using a small level-2 sample size, as well as a list
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Vittadini, Giorgio. "On the Use of Multivariate Regression Models in the Context of Multilevel Analysis." In Advances in Classification and Data Analysis. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59471-7_28.

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Vannucci, Giulia, Anna Gottard, Leonardo Grilli, and Carla Rampichini. "Random effects regression trees for the analysis of INVALSI data." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-304-8.07.

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Mixed or multilevel models exploit random effects to deal with hierarchical data, where statistical units are clustered in groups and cannot be assumed as independent. Sometimes, the assumption of linear dependence of a response on a set of explanatory variables is not plausible, and model specification becomes a challenging task. Regression trees can be helpful to capture non-linear effects of the predictors. This method was extended to clustered data by modelling the fixed effects with a decision tree while accounting for the random effects with a linear mixed model in a separate step (Hajje
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Bäumler, Linda, and Frederik Hartmann. "Sociogeographical differences in the pronunciation of Anglicisms in Spanish." In Studies in Corpus Linguistics. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/scl.110.05bau.

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In this paper we propose a possible statistical analysis of sociogeographical differences in two Spanish varieties in the context of loanword phonology. For this purpose, we extracted formant frequencies of Anglicisms from corpus data from Mexico and Spain, with a particular focus on the realisation of the English vowel /ʌ/ (e.g., [bɾʌnt͡ʃ]). We used a Multilevel Bayesian regression model to infer various fixed effects on the phonic realisation. The analysis shows that geographical proximity to the U.S. does not impact the realisation in our data. Speakers’ exposure and affinity towards the En
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Conference papers on the topic "Multilevel Regression Analysis"

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de Oliveira, Myke Morais, Douglas Augusto de Paula, and Ellen Francine Barbosa. "Towards Multilevel Logistic Regression and Cluster Analysis for Academic Performance Examination and Prediction." In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2024. http://dx.doi.org/10.1109/compsac61105.2024.00020.

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Jamshidi, Laleh. "Single-Case Multilevel Meta-Analysis: Handling Multiple Regression Coefficients." In 2021 AERA Annual Meeting. AERA, 2021. http://dx.doi.org/10.3102/1682765.

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Xu, Jin, Pengcheng Zheng, and Rui Lv. "A multilevel regression-analysis-based nonlocal means denoising algorithm." In 3rd International Conference on Digital Image Processing, edited by Ting Zhang. SPIE, 2011. http://dx.doi.org/10.1117/12.896290.

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Setianingsih, Triseu. "Performance Analysis of Children's Health Program in Indonesia: A Multilevel Analysis." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.03.85.

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ABSTRACT Background: Most of the neonatal deaths that occur after 6-48 hours postpartum can be prevented with appropriate newborn care and initiated immediately after delivery through adequate and standardized first neonatal visit. In Indonesia, it is still not in accordance with the expected target. This study aimed to analyze the factors that influence the first neonatal visit from various levels through a multilevel analysis approach. Subjects and Method: This was a cross sectional study with samples of individual level (level 1) was 1014 mother babies, village Level (level 2) as many as 95
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Boucher, Matthew, Siddhartha Krishnamurthy, Andrew Christian, and Stephen A. Rizzi. "Sound quality metric indicators of rotorcraft noise annoyance using multilevel regression analysis." In 177th Meeting of the Acoustical Society of America. ASA, 2019. http://dx.doi.org/10.1121/2.0001223.

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Setiawan, Adi, Anisa Al Fitri, Nusyrotus Sa’adah, Nusaibah Az-Zuhry, and Kismiantini. "Multilevel logistic regression analysis on determinants of adult stroke incidence in Indonesia." In FRONTIERS IN INDUSTRIAL AND APPLIED MATHEMATICS: FIAM2022. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0133863.

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Jamshidi, Laleh. "Multilevel Meta-Analysis of Multiple Regression Coefficients From Single-Case Experimental Design Studies." In 2020 AERA Annual Meeting. AERA, 2020. http://dx.doi.org/10.3102/1581891.

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Pitsia, Vasiliki. "Characteristics of High Achievers: A Multilevel Logistic Regression Analysis of PISA Mathematics and Science Data." In 2020 AERA Annual Meeting. AERA, 2020. http://dx.doi.org/10.3102/1578957.

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Zhang, Xiaowang, Qiang Gao, and Zhiyong Feng. "InteractionNN: A Neural Network for Learning Hidden Features in Sparse Prediction." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/602.

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In this paper, we present a neural network (InteractionNN) for sparse predictive analysis where hidden features of sparse data can be learned by multilevel feature interaction. To characterize multilevel interaction of features, InteractionNN consists of three modules, namely, nonlinear interaction pooling, layer-lossing, and embedding. Nonlinear interaction pooling (NI pooling) is a hierarchical structure and, by shortcut connection, constructs low-level feature interactions from basic dense features to elementary features. Layer-lossing is a feed-forward neural network where high-level featu
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Pangesti, Tri Puji, Didik Gunawan Tamtomo, and Bhisma Murti. "Multilevel Logistic Regression Analysis on the Effectiveness of Chronic Disease Management Program in Improving “Cerdik” Healthy Behavior for Hypertensive Patients." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.04.44.

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ABSTRACT Background: The chronic disease management program (prolanis) was established in Indonesia to help people achieve optimal quality of life with cost-effective and efficient health services. The user targets were national health insurance participants who suffer from chronic disease, including hypertension and diabetes mellitus. This study aimed to examine the effectiveness of prolanis in improving “CERDIK” healthy behavior for hypertensive patients. Subjects and Method: A cross sectional study was carried out at 25 community health centers in Gunungkidul, Yogyakarta, Indonesia, from Ja
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Reports on the topic "Multilevel Regression Analysis"

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Tacsir, Ezequiel, Mariano Pereira, Federico Favata, and Julian Leone. Competition and Distance to the Technological Frontier as Determinants of Innovation: A Multilevel Analysis for Latin America. Inter-American Development Bank, 2024. https://doi.org/10.18235/0013250.

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Using a multilevel analysis and the new Harmonized Latin American Innovation Surveys Database (or LAIS database) augmented with indicators from the U.S. Census Bureau's Survey of Business Owners (SBO) and the World Banks World Integrated Trade Solution (WITS), this paper presents estimates of the effects of import competition and distance to the technological frontier on firm innovation in Latin American countries. Although innovation is recognized as a multilevel phenomenon, with investment decisions not solely affected by the firm characteristics but also by the context in which each firm is
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McPhedran, R., K. Patel, B. Toombs, et al. Food allergen communication in businesses feasibility trial. Food Standards Agency, 2021. http://dx.doi.org/10.46756/sci.fsa.tpf160.

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Background: Clear allergen communication in food business operators (FBOs) has been shown to have a positive impact on customers’ perceptions of businesses (Barnett et al., 2013). However, the precise size and nature of this effect is not known: there is a paucity of quantitative evidence in this area, particularly in the form of randomised controlled trials (RCTs). The Food Standards Agency (FSA), in collaboration with Kantar’s Behavioural Practice, conducted a feasibility trial to investigate whether a randomised cluster trial – involving the proactive communication of allergen information a
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