Relevant bibliographies by topics / Cross-sectional Regression

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

Academic literature on the topic 'Cross-sectional Regression'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Cross-sectional Regression"

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Robinson, Peter M. "Nonparametric trending regression with cross-sectional dependence." Journal of Econometrics 169, no. 1 (July 2012): 4–14. http://dx.doi.org/10.1016/j.jeconom.2012.01.005.

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Liu, Jie, Zaixia Hu, and Shaohua Tan. "Cross-sectional stock return analysis using support vector regression." Applied Economics Letters 17, no. 1 (April 2, 2008): 71–74. http://dx.doi.org/10.1080/13504850701719777.

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Vanhonacker, Wilfried R., and Diana Day. "Cross-Sectional Estimation in Marketing: Direct Versus Reverse Regression." Marketing Science 6, no. 3 (August 1987): 254–67. http://dx.doi.org/10.1287/mksc.6.3.254.

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MARTUZZI, M., and P. ELLIOTT. "CROSS-SECTIONAL DATA ANALYSIS: A SIMPLE ALTERNATIVE TO LOGISTIC REGRESSION." Epidemiology 7, Supplement (July 1996): S70. http://dx.doi.org/10.1097/00001648-199607001-00207.

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Hodoshima, Jiro, Xavier Garza–Gómez, and Michio Kunimura. "Cross-sectional regression analysis of return and beta in Japan." Journal of Economics and Business 52, no. 6 (November 2000): 515–33. http://dx.doi.org/10.1016/s0148-6195(00)00031-x.

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Kirby, Chris. "Firm Characteristics, Cross-Sectional Regression Estimates, and Asset Pricing Tests." Review of Asset Pricing Studies 10, no. 2 (June 25, 2019): 290–334. http://dx.doi.org/10.1093/rapstu/raz005.

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Abstract I test a number of well-known asset pricing models using regression-based managed portfolios that capture nonlinearity in the cross-sectional relation between firm characteristics and expected stock returns. Although the average portfolio returns point to substantial nonlinearity in the data, none of the asset pricing models successfully explain the estimated nonlinear effects. Indeed, the estimated expected returns produced by the models display almost no variation across portfolios. Because the tests soundly reject every model considered, it is apparent that nonlinearity in the rela
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Wang, Na. "Association between Arsenic and Generalized Anxiety Disorder: A Cross-Sectional Study." Women Health Care and Issues 4, no. 4 (May 27, 2021): 01–05. http://dx.doi.org/10.31579/2642-9756/054.

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Aim: In some regions of Bayannaoer arsenic concentration in well drinking water is higher than the international standard of 10 μg/L. The purpose of this study is to evaluate the impact of exposures to arsenic in drinking water on generalized anxiety disorder (GAD). Materials and Methods: A survey was conducted in 2016 among villagers in Hangjinhou County, Bayannaoer City, Inner Mongolia. A questionnaire was used to inquire about GAD, arsenic related neurological symptoms. Arsenic concentration in the water was measured and arsenicosis prevalence was assessed. Multinomial logistic regression a
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KAN, RAYMOND, CESARE ROBOTTI, and JAY SHANKEN. "Pricing Model Performance and the Two-Pass Cross-Sectional Regression Methodology." Journal of Finance 68, no. 6 (November 12, 2013): 2617–49. http://dx.doi.org/10.1111/jofi.12035.

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Hur, Jungshik, Raman Kumar, and Vivek Singh. "Cross-sectional regression of returns on betas and portfolio grouping procedures." International Journal of Business and Systems Research 8, no. 1 (2014): 1. http://dx.doi.org/10.1504/ijbsr.2014.058005.

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Karafiath, Imre. "Estimating cross-sectional regressions in event studies with conditional heteroskedasticity and regression designs that have leverage." International Journal of Managerial Finance 10, no. 4 (August 26, 2014): 418–31. http://dx.doi.org/10.1108/ijmf-12-2012-0134.

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Purpose – In the finance literature, fitting a cross-sectional regression with (estimated) abnormal returns as the dependent variable and firm-specific variables (e.g. financial ratios) as independent variables has become de rigueur for a publishable event study. In the absence of skewness and/or kurtosis the explanatory variable, the regression design does not exhibit leverage – an issue that has been addressed in the econometrics literature on the finite sample properties of heteroskedastic-consistent (HC) standard errors, but not in the finance literature on event studies. The paper aims to
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Dissertations / Theses on the topic "Cross-sectional Regression"

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Hargarten, Paul. "A Cross-Sectional Analysis of Health Impacts of Inorganic Arsenic in Chemical Mixtures." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3788.

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Drinking groundwater is the primary way humans accumulate arsenic. Chronic exposure to inorganic arsenic (iAs) (over decades) has been shown to be associated with multiple health effects at low levels (5-10 ppb) including: cancer, elevated blood pressure and cardiovascular disease, skin lesions, renal failure, and peripheral neuropathy. Using hypertension (or high blood pressure) as a surrogate marker for cardiovascular disease, we examined the effect of iAs alone and in a mixture with other metals using a cross-sectional study of adults in United States (National Health and Examination Survey
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Yu, Mingyu Carleton University Dissertation Mathematics. "Nested-error regression models and small area estimation combining cross-sectional and time series data." Ottawa, 1993.

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NOVAES, ANDRE LUIZ FARIAS. "ECONOMETRIC GENETIC PROGRAMMING: A NEW APPROACH FOR REGRESSION AND CLASSIFICATION PROBLEMS IN CROSS-SECTIONAL DATASETS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25338@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Esta dissertação propõe modelos parcimoniosos para tarefas de regressão e classificação em conjuntos de dados exclusivamente seccionais, mantendo-se a hipótese de amostragem aleatória. Os modelos de regressão são lineares, estimados por Mínimos Quadrados Ordinários resolvidos pela Decomposição QR, apresentando solução única sob posto cheio ou não da matriz de regressores. Os modelos de classificação são não lineares, estimados por Máxima Verossimilhança utilizando uma variante
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collet, CLAIRE, and Kimberlay Duquennoy. "Did the pattern of poverty in West Germany change because of the reunification? : A cross-sectional study of poverty in West Germany." Thesis, Linnéuniversitetet, Institutionen för nationalekonomi och statistik (NS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-85939.

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The reunification of West Germany and East Germany occurred in 1990 and had a great impact on the country. This essay investigates the impact that reunification had on the poverty structure of West Germany on the long-run. The results indicate that reunification had a negative impact on poverty since it increased the poverty rate by 4.88 percentage point in 2000 and by 6.16 percentage point in 2005. The structure of the poor population slightly changed the year following the reunification. Five years later, the structure of the poor population was similar to what it was before the reunificatio
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Klekamp, Benjamin Glenn. "Assessing the Relationship of Monocytes with Primary and Secondary Dengue Infection among Hospitalized Dengue Patients in Malaysia, 2010: A Cross-Sectional Study." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3185.

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Dengue, a group of four similar viruses transmitted through the bite of a mosquito, is estimated to infect upwards of 100 million annually in over 100 nations throughout the global equatorial belt. Distribution of global dengue is highly skewed as Southeast Asian and Western Pacific regions endure 75% of the global dengue burden. Similar to other regional countries, Malaysia has been rapidly urbanizing, which has supported a hyperendemic dengue state. The biological pathway by which dengue infection causes a wide range of clinical manifestations, spanning asymptomatic to life-threatening sev
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Wang, Yue Nan, and wangyn14@hotmail com. "The diversification benefits and the risk and return relationships in the Chinese A-share market." RMIT University. Economics, Finance and Marketing, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20061205.103325.

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China's rapid economic growth and the development of its domestic stock market have attracted considerable attention from foreign investors. China's economic financial expansion, however, has emerged from an environment of state planning and radical socialist ideology. With a view of providing investors with a better understanding of the risk and return relationship in the Chinese A-share market over the past decade, this thesis adapts several empirical models to the circumstances in China and conducts four empirical analyses. First, in order to rationalize foreign investors' entry
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Wang, Yuenan, and yangyn14@hotmail com. "The diversification benefits and the risk and return relationships in the Chinese A-share market." RMIT University. Economics, Finance and Marketing, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080103.093949.

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China's rapid economic growth and the development of its domestic stock market have attracted considerable attention from foreign investors. China's economic financial expansion, however, has emerged from an environment of state planning and radical socialist ideology. With a view of providing investors with a better understanding of the risk and return relationship in the Chinese A-share market over the past decade, this thesis adapts several empirical models to the circumstances in China and conducts four empirical analyses. First, in order to rationalize foreign investors' entry
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Gashi, Arben, and Florent Sinani. "Adolescents, Sleep Deprivation and Externalizing Behaviour - Is There a Connection?" Thesis, Örebro universitet, Institutionen för juridik, psykologi och socialt arbete, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-65584.

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Rogers, Paul B. "An analysis of parameters of the U.S. pilot population from 1983-2005 from a scientific information system point of view : a foundation for computational epidemiological studies /." Oklahoma City : [s.n.], 2007.

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Keunecke, Johann Georg [Verfasser], Johannes [Akademischer Betreuer] Prottengeier, Johannes [Gutachter] Prottengeier, and Torsten [Gutachter] Birkholz. "Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study / Johann Georg Keunecke ; Gutachter: Johannes Prottengeier, Torsten Birkholz ; Betreuer: Johannes Prottengeier." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2020. http://d-nb.info/1220506036/34.

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Books on the topic "Cross-sectional Regression"

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Uribe, Jorge M., and Montserrat Guillen. Quantile Regression for Cross-Sectional and Time Series Data. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44504-1.

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Bulkley, George. Excessive stock price dispersion: A regression test of cross-sectional volatility. London: London School of Economics, Financial Markets Group, 1996.

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Kan, Raymond. Pricing model performance and the two-pass cross-sectional regression methodology. Cambridge, MA: National Bureau of Economic Research, 2009.

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Swaine, Daniel G. What do cross-sectional growth regressions tell us about convergence? [Boston]: Federal Reserve Bank of Boston, 1998.

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Swaine, Daniel G. What do cross-sectional growth regressions tell us about convergence? [Boston]: Federal Reserve Bank of Boston, 1998.

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Swaine, Daniel G. What do cross-sectional growth regressions tell us about convergence? [Boston]: Federal Reserve Bank of Boston, 1998.

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Uribe, Jorge M., and Montserrat Guillen. Quantile Regression for Cross-Sectional and Time Series Data: Applications in Energy Markets Using R. Springer, 2020.

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Lee, Patricia, Donald Stewart, and Stephen Clift. Group Singing and Quality of Life. Edited by Brydie-Leigh Bartleet and Lee Higgins. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190219505.013.22.

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International research has broadly reported positive effects of singing on health. Choral singing, a social activity, can contribute to health and social and emotional well-being through enhancing individual and social variables, such as a sense of motivation, personal worth, concentration, and social engagement. This cross-sectional study aimed to establish a quantitative model to explain how multiple attributes of choral singing interact to impact on different dimensions of health and well-being. Using data from an Australian subsample within a multinational project, the results, from a seri
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Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

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This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R
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Egger, Eva-Maria, Cecilia Poggi, and Héctor Rufrancos. Welfare and the depth of informality: Evidence from five African countries. 25th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/963-1.

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This study explores the relationship between household poverty and depth of informality by proposing a new measure of informality at the household level. It is defined as the share of activities (hours worked or income earned) without social insurance for wage workers in the household. We apply cross-sectional regressions to five urban sub-Saharan African countries, showing that a household head informality dummy obscures a non-linear relationship between the depth of household informality and welfare outcomes. In some countries, a small share of income from formal jobs is associated with at l
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Book chapters on the topic "Cross-sectional Regression"

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Uribe, Jorge M., and Montserrat Guillen. "Cross-sectional Quantile Regression." In Quantile Regression for Cross-Sectional and Time Series Data, 21–32. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44504-1_4.

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Uribe, Jorge M., and Montserrat Guillen. "Time Series Quantile Regression." In Quantile Regression for Cross-Sectional and Time Series Data, 33–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44504-1_5.

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Uribe, Jorge M., and Montserrat Guillen. "Quantile Regression: A Methodological Overview." In Quantile Regression for Cross-Sectional and Time Series Data, 13–19. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44504-1_3.

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Uribe, Jorge M., and Montserrat Guillen. "Novel Approaches in Quantile Regression." In Quantile Regression for Cross-Sectional and Time Series Data, 49–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44504-1_7.

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Uribe, Jorge M., and Montserrat Guillen. "Goodness of Fit in Quantile Regression Models." In Quantile Regression for Cross-Sectional and Time Series Data, 45–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44504-1_6.

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Uribe, Jorge M., and Montserrat Guillen. "Why and When Should Quantile Regression Be Used?" In Quantile Regression for Cross-Sectional and Time Series Data, 1–5. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44504-1_1.

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Uribe, Jorge M., and Montserrat Guillen. "A Case Study: Modeling Energy Markets by the Means of Quantile Regression." In Quantile Regression for Cross-Sectional and Time Series Data, 7–11. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44504-1_2.

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Uribe, Jorge M., and Montserrat Guillen. "What Have We Learned from Quantile Regression? Implications for Economics and Finance." In Quantile Regression for Cross-Sectional and Time Series Data, 55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44504-1_8.

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Sutradhar, Brajendra C. "Overview of Regression Models for Cross-Sectional Univariate Categorical Data." In Springer Series in Statistics, 7–87. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2137-9_2.

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Tian, Cunzhi, Qiuping Guo, and Haijun Wang. "The Performance Persistence of Mutual Fund: The Empirical Research Based on Cross-Sectional Regression." In Informatics in Control, Automation and Robotics, 193–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25899-2_26.

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Conference papers on the topic "Cross-sectional Regression"

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Jianbao, Chen, Cheng Tingting, and Wang Dengling. "Notice of Retraction: Quantile Regression Analysis of Cross Sectional Price-Volume Relation in Chinese Stock Markets." In 2009 International Forum on Information Technology and Applications (IFITA). IEEE, 2009. http://dx.doi.org/10.1109/ifita.2009.315.

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Ashour, Reem, Sana Elashie, Bayan Alkeilan, and Mujahed Shraim. "Smartphone Addiction among Qatar University Students: A Cross-Sectional study." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0203.

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Aims: The aim of this study was to: (I) estimate the prevalence of SPA among students in Qatar University (QU); (II) assess the correlation between daily duration of smartphone use (SPU) and SPA; (III) assess the relationship between SPA with (a) current Grade point Average (GPA), (b) psychological distress, and (c) students’ perceived negative impact of SPU on their learning and academic performance, sleep at night, social activity, and physical and mental health. Methods: We used a cross-sectional study using a selfadministered survey to address the aims of the study. An electronic survey wa
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Hardiawan, Donny, Arief Anshory Yusuf, and Bagdja Muljarijadi. "THE IMPACT OF EXPENDITURE INEQUALITY AND SOCIOECONOMIC ON CRIME RATES IN INDONESIA. CROSS SECTIONAL STUDY USING SPATIAL ECONOMETRICS AND GEOGRAPHICALLY WEIGHTED REGRESSION." In Proceedings of the Achieving and Sustaining SDGs 2018 Conference: Harnessing the Power of Frontier Technology to Achieve the Sustainable Development Goals (ASSDG 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/assdg-18.2019.14.

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D. Guillén-Gámez, Francisco. "A cross-sectional study on attitudes towards statistics in primary education students of Higher Education: prediction of variables through a multiple regression model." In 2nd International Conference on Modern Research in Education, Teaching and Learning. Acavent, 2020. http://dx.doi.org/10.33422/2nd.icmetl.2020.11.82.

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Hallingberg, B., O. Maynard, L. Gray, A. MacKintosh, E. Lowthian, and G. Moore. "OP59 #Have e-cigarettes re-normalized or displaced youth smoking?: a segmented regression analysis of repeated cross sectional survey data in england, scotland and wales." In Society for Social Medicine 62nd Annual Scientific Meeting, Hosted by the MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, 5–7 September 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/jech-2018-ssmabstracts.58.

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‘Arub, Lathifah, Eti Poncorini Pamungkasari, and Yulia Lanti Retno Dewi. "Multiple Logistic Regression on the Factors Affecting Exclusive Breastfeeding Practice in Karanganyar, Central Java." 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.03.89.

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ABSTRACT Background: Breastfeeding peer support helps lactating women to sustain breastfed and reduce cultural barriers. This study aimed to examine the effects of maternal age, maternal education, maternal employment, type of labor, knowledge, attitude, family support, and social capital on breastfeeding practice. Subjects and Method: A cross sectional study was conducted at 25 integrated health posts in Karanganyar, Central Java, from August to September 2019. A sample of 200 lactating mothers with children aged 7-12 months was selected by stratified random sampling. The dependent variable w
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Zamzam, Maki, Didik Gunawan Tamtomo, and Vitri Widyaningsih. "Biopsychosocial Determinants of Quality of Life in Post Stroke Patients: A Multiple Logistic Regression 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.01.35.

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ABSTRACT Background: The impact of stroke on health may be disastrous. Stroke can affect multiple domains of quality of life. The purpose of this study was to examine biopsychosocial determinants of quality of life in post stroke patients. Subjects and Method: A cross sectional study was conducted at Surakarta hospital, Central Java, from September to October 2019. A sample of 200 post stroke patients was selected for this study purposively. The dependent variable was quality of life. The independent variables were age, gender, empoyment, income, family income, marital status, history of strok
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Martaningrum, Herlina Ika, Uki Retno Budihastuti, and Bhisma Murti. "Factors Affecting the Use of Visual Inspection Acetic Acid Test in Magelang, Central Java." 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.03.90.

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ABSTRACT Background: Visual inspection acetic acid (VIA) can help detect cervical cancer at an early stage. However, under-utilization of the screening (e.g. rural residence, poor knowledge, low education, acceptability by the healthcare providers, etc.) persists as a major challenge. This study aimed to determine factors affecting the use of VIA test. Subjects and Method: A cross sectional study was carried out at 25 community health centers (puskesmas) in Magelang, Central Java, from September to October 2019. A sample of 200 women aged 30-50 years old was selected for this study randomly. T
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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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Hamdan, Abeer, and Manar Abdel-Rahman. "Child Disciplinary Practices in relation to Household Head Education and beliefs in Five Middle East and North African (MENA) countries: Cross Sectional study-Further analysis of Multiple Indicator Cluster survey data." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0168.

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Introduction:Internationally, eight out of ten children are exposed to violent discipline by their caregivers. To reduce the prevalence of violent discipline against children, we should understand the social and economic factors that affect the choice of disciplinary methods. Despite the high prevalence of violent discipline in the Middle East and North African (MENA) region, only a few studies explored disciplinary methods in this region. Aim: This study aims to determine the prevalence of positive and violent disciplinary practices in five selected MENA countries and assess their association
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Reports on the topic "Cross-sectional Regression"

1

Robinson, Peter. Nonparametric trending regression with cross-sectional dependence. Institute for Fiscal Studies, February 2011. http://dx.doi.org/10.1920/wp.cem.2011.1011.

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Kan, Raymond, Cesare Robotti, and Jay Shanken. Pricing Model Performance and the Two-Pass Cross-Sectional Regression Methodology. Cambridge, MA: National Bureau of Economic Research, June 2009. http://dx.doi.org/10.3386/w15047.

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Villamizar-Villegas, Mauricio, and Yasin Kursat Onder. Uncovering Time-Specific Heterogeneity in Regression Discontinuity Designs. Banco de la República de Colombia, November 2020. http://dx.doi.org/10.32468/be.1141.

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The literature that employs Regression Discontinuity Designs (RDD) typically stacks data across time periods and cutoff values. While practical, this procedure omits useful time heterogeneity. In this paper we decompose the RDD treatment effect into its weighted time-value parts. This analysis adds richness to the RDD estimand, where each time-specific component can be different and informative in a manner that is not expressed by the single cutoff or pooled regressions. To illustrate our methodology, we present two empirical examples: one using repeated cross-sectional data and another using
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