Academic literature on the topic 'Partial odds'
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Journal articles on the topic "Partial odds"
Peterson, Bercedis, and Frank E. Harrell. "Partial Proportional Odds Models for Ordinal Response Variables." Applied Statistics 39, no. 2 (1990): 205. http://dx.doi.org/10.2307/2347760.
Full textADELO, Belete, and Shibru TEMESGEN. "Undernutritional Status of Children in Ethiopia: Application of Partial Proportional Odds Model." Turkiye Klinikleri Journal of Biostatistics 7, no. 2 (2015): 77–89. http://dx.doi.org/10.5336/biostatic.2015-47184.
Full textO'Connell, Ann A., and Xing Liu. "Model Diagnostics for Proportional and Partial Proportional Odds Models." Journal of Modern Applied Statistical Methods 10, no. 1 (May 1, 2011): 139–75. http://dx.doi.org/10.22237/jmasm/1304223240.
Full textGao, Xiaoming, Todd A. Schwartz, John S. Preisser, and Jamie Perin. "GEEORD: A SAS macro for analyzing ordinal response variables with repeated measures through proportional odds, partial proportional odds, or non-proportional odds models." Computer Methods and Programs in Biomedicine 150 (October 2017): 23–30. http://dx.doi.org/10.1016/j.cmpb.2017.07.008.
Full textSoon, Jan-Jan. "The determinants of students' return intentions: A partial proportional odds model." Journal of Choice Modelling 3, no. 2 (2010): 89–112. http://dx.doi.org/10.1016/s1755-5345(13)70037-x.
Full textWilliams, Richard. "Generalized Ordered Logit/Partial Proportional Odds Models for Ordinal Dependent Variables." Stata Journal: Promoting communications on statistics and Stata 6, no. 1 (February 2006): 58–82. http://dx.doi.org/10.1177/1536867x0600600104.
Full textVerwaeren, Jan, Willem Waegeman, and Bernard De Baets. "Learning partial ordinal class memberships with kernel-based proportional odds models." Computational Statistics & Data Analysis 56, no. 4 (April 2012): 928–42. http://dx.doi.org/10.1016/j.csda.2010.12.007.
Full textChen, Hui-Hua, Wan-Hua Ting, Ho-Hsiung Lin, and Sheng-Mou Hsiao. "Predictors of Lymphoceles in Women Who Underwent Laparotomic Retroperitoneal Lymph Node Dissection for Early Gynecologic Cancer: A Retrospective Cohort Study." International Journal of Environmental Research and Public Health 16, no. 6 (March 15, 2019): 936. http://dx.doi.org/10.3390/ijerph16060936.
Full textNisengwe, Jean François Régis, Adam Willcox, and Liem Tran. "Perceptions of Natural Resources Use in Rwanda - A Partial Proportional Odds Model." East African Journal of Environment and Natural Resources 3, no. 1 (September 16, 2021): 145–60. http://dx.doi.org/10.37284/eajenr.3.1.412.
Full textFullerton, Andrew S., and Jun Xu. "The proportional odds with partial proportionality constraints model for ordinal response variables." Social Science Research 41, no. 1 (January 2012): 182–98. http://dx.doi.org/10.1016/j.ssresearch.2011.09.003.
Full textDissertations / Theses on the topic "Partial odds"
Savaluny, Elly. "Analysis of ordered categorical data : partial proportional odds and stratified models." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326978.
Full textMuttarak, Raya, and Wiraporn Pothisiri. "The Role of Education on Disaster Preparedness: Case Study of 2012 Indian Ocean Earthquakes on Thailand's Andaman Coast." The Resilience Alliance, 2013. http://dx.doi.org/10.5751/ES-06101-180451.
Full textSalama, Dina. "Predicting Disease Course in Inflammatory Bowel Disease using Health Administrative Data." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/41978.
Full textLara, Evandro de Avila e. "Regressão logística politômica ordinal: Avaliação do potencial de Clonostachys rosea no biocontrole de Botrytis cinerea." Universidade Federal de Viçosa, 2012. http://locus.ufv.br/handle/123456789/4060.
Full textThe use of logistic regression modeling as a tool for modeling statistical probability of an event as a function of one or more independents variables, has grown among researchers in several areas, including Phytopathology. At about the dichotomous logistic regression in which the dependent variable is the type binary or dummy, is the extensive number of studies in the literature that discuss the modeling assumptions and the interpretation of the analyzes, as well as alternatives for implementation in statistical packages. However, when the variable response requires the use three or more categories, the number of publications is scarce. This is not only due to the scarcity of relevant publications on the subject, but also the inherent difficulty of coverage on the subject. In this paper we address the applicability of the model polytomous ordinal logistic regression, as well as differences between the proportional odds models, nonproportional and partial proportional odds. For this, we analyzed data from an experiment in which we evaluated the potential antagonistic fungus Clonostachys rosea in biocontrol of the disease called "gray mold", caused by Botrytis cinerea in strawberry and tomato. The partial proportional odds models and nonproportional were adjusted and compared, since the proportionality test score accused rejection of the proportional odds assumption. The estimates of the model coefficients as well as the odds ratios were interpreted in practical terms for Phytopathology. The polytomous ordinal logistic regression is introduced as an important statistical tool for predicting values, showing the potential of C. rosea in becoming a commercial product to be developed and used in the biological control of the disease, because the application of C. rosea was as or more effective than the use of fungicides in the control of gray mold.
O uso da regressão logística como uma ferramenta estatística para modelar a probabilidade de um evento em função de uma ou mais variáveis explicativas, tem crescido entre pesquisadores em várias áreas, inclusive na Fitopatologia. À respeito da regressão logística dicotômica, na qual a variável resposta é do tipo binária ou dummy, é extenso o número de trabalhos na literatura que abordam a modelagem, as pressuposições e a interpretação das análises, bem como alternativas de implementação em pacotes estatísticos. No entanto, quando a variável resposta requer que se utilize três ou mais categorias, o número de publicações é escasso. Isso devido não somente à escassez de publicações relevantes sobre o assunto, mas também à inerente dificuldade de abrangência sobre o tema. No presente trabalho aborda-se a aplicabilidade do modelo de regressão logística politômica ordinal, bem como as diferenças entre os modelos de chances proporcionais, chances proporcionais parciais e chances não proporcionais. Para isso, foram analisados dados de um experimento em que se avaliou o potencial do fungo antagonista Clonostachys rosea no biocontrole da doença denominada mofo cinzento , causada por Botrytis cinerea em morangueiro e tomateiro. Os modelos de chances proporcionais parciais e não proporcionais foram ajustados e comparados, uma vez que o teste score de proporcionalidade acusou rejeição da pressuposição de chances proporcionais. As estimativas dos coeficientes dos modelos bem como das razões de chances foram interpretadas em termos práticos para a Fitopatologia. A regressão logística politômica ordinal se apresentou como uma importante ferramenta estatística para predição de valores, mostrando o potencial do C. rosea em se tornar um produto comercial a ser desenvolvido e usado no controle biológico da doença, pois a aplicação de C. rosea foi tão ou mais eficiente do que a utilização de fungicidas no controle do mofo cinzento.
Davis, Brett Andrew, and Brett Davis@abs gov au. "Inference for Discrete Time Stochastic Processes using Aggregated Survey Data." The Australian National University. Faculty of Economics and Commerce, 2003. http://thesis.anu.edu.au./public/adt-ANU20040806.104137.
Full textGodfrey, M. J. "The competition between collective and single-particle effects in the odd-odd nuclei'1'2'8','1'3'0La." Thesis, University of Liverpool, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.384359.
Full textScholey, Catherine Louise. "A spectroscopic study of doubly-odd N=77 isotones near the proton dripline utilising the recoil-isomer tagging technique." Thesis, University of Liverpool, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269565.
Full textWoods, Charmaine Michelle, and charmaine woods@flinders edu au. "EXOGENOUS PURINES INDUCE DIFFERENTIAL RESPONSES IN THE PROXIMAL AND DISTAL REGIONS OF THE SPHINCTER OF ODDI: PARTIAL CHARACTERISATION OF THE PURINERGIC RECEPTOR SUB-TYPES INVOLVED." Flinders University. School of Medicine, 2006. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20061120.095902.
Full textGibson, Andrew Robert. "Harnessing the non-linear coupling of odd harmonics for control of charged particle dynamics in radio-frequency plasmas." Thesis, Queen's University Belfast, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.680121.
Full textLessard, Jean-Philippe. "Validated Continuation for Infinite Dimensional Problems." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19861.
Full textBooks on the topic "Partial odds"
Inc, ebrary, ed. Against all odds: Aiding political parties in Georgia and Ukraine. Amsterdam: Amsterdam University Press, 2010.
Find full textNational Portrait Gallery (Smithsonian Institution), ed. "The spirit of party": Hamilton & Jefferson at odds. Washington, D.C: National Portrait Gallery, Smithsonian Institution, 1992.
Find full textSolomon, Hussein. Against all odds: Opposition political parties in Southern Africa, Botswana, Lesotho, Mauritius, Mozambique, South Africa, Swaziland, Zambia, Zimbabwe. Johannesburg: KMM Review, 2011.
Find full textClose, Frank. 4. Odds, evens, and shells. Oxford University Press, 2015. http://dx.doi.org/10.1093/actrade/9780198718635.003.0004.
Full textChancer, Lynn S., Martín Sánchez-Jankowski, and Christine Trost. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190685898.003.0001.
Full textGuffey, Mary Ellen, and Carolyn M. Seefer. Bundle : Business English , 11th + Partial Student Key: Answers to Odd-Numbered Reinforcement. Cengage South-Western, 2013.
Find full textBig And Small Odd One Out. Clavis, 2013.
Find full textGriffiths, Graham W. Numerical Analysis Using R: Solutions to ODEs and PDEs. Cambridge University Press, 2016.
Find full textGriffiths, Graham W. Numerical Analysis Using R: Solutions to ODEs and PDEs. Cambridge University Press, 2016.
Find full textGriffiths, Graham W. Numerical Analysis Using R: Solutions to ODEs and PDEs. Cambridge University Press, 2016.
Find full textBook chapters on the topic "Partial odds"
Kern, Christoph. "Proportional und partial-proportional odds Modelle zur Erklärung der Mobilitätsdisposition im Mehrebenenkontext." In Dyadische Analyse regionaler Arbeitsmarktmobilität, 73–90. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-17435-4_5.
Full textGeorgi, Howard. "Odds and Ends." In Lie Algebras in Particle Physics, 302–10. Boca Raton: CRC Press, 2018. http://dx.doi.org/10.1201/9780429499210-28.
Full textSeydel, R. "Calculating the Loss of Stability by Transient Methods, with Application to Parabolic Partial Differential Equations." In Numerical Boundary Value ODEs, 261–70. Boston, MA: Birkhäuser Boston, 1985. http://dx.doi.org/10.1007/978-1-4612-5160-6_15.
Full textXu, Xiaoping. "Representations of Odd Orthogonal Lie Algebras." In Representations of Lie Algebras and Partial Differential Equations, 253–91. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6391-6_8.
Full textDe Baets, Bernard. "FREs: the ODEs and PDEs of the Fuzzy Modelling Paradigm." In Fuzzy Partial Differential Equations and Relational Equations, 206–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-39675-8_8.
Full textO’Beirne, Patricia. "A Partial Eclipse." In The Golden Thread, 291–302. Liverpool University Press, 2021. http://dx.doi.org/10.3828/liverpool/9781800859463.003.0022.
Full text"Partial Proportional Odds Models and Generalized Ordinal Logistic Regression Models." In Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling, 179–218. 2455 Teller Road, Thousand Oaks California 91320: SAGE Publications, Inc, 2016. http://dx.doi.org/10.4135/9781071878972.n5.
Full textPittock, Murray. "Conclusion." In Scotland, 417–24. Yale University Press, 2022. http://dx.doi.org/10.12987/yale/9780300254174.003.0009.
Full textRusten, Kristian A. "What could have sanctioned null subjects in Old English?" In Referential Null Subjects in Early English, 123–80. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198808237.003.0005.
Full textCampbell, John L., and Ove K. Pedersen. "Limits of Convergence." In The National Origins of Policy Ideas. Princeton University Press, 2014. http://dx.doi.org/10.23943/princeton/9780691150314.003.0007.
Full textConference papers on the topic "Partial odds"
Halpern, Daniel, Gregory Kehne, and Jamie Tucker-Foltz. "Can Buyers Reveal for a Better Deal?" In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/45.
Full textMarziali, Megan, Seth Prins, and Silvia Martins. "Partner Incarceration and Maternal Substance Use: Investigating the Mediating Effects of Social Support and Neighborhood Cohesion." In 2021 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2022. http://dx.doi.org/10.26828/cannabis.2022.01.000.41.
Full textMcNamara, Daniel. "Equalized Odds Implies Partially Equalized Outcomes Under Realistic Assumptions." In AIES '19: AAAI/ACM Conference on AI, Ethics, and Society. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3306618.3314290.
Full textJaffe, R. L. "Chiral-odd parton distributions." In Intersections between particle and nuclear physics. AIP, 1992. http://dx.doi.org/10.1063/1.41524.
Full textMulders, Piet. "Time-reversal-odd phenomena in QCD." In LIGHT CONE 2008 Relativistic Nuclear and Particle Physics. Trieste, Italy: Sissa Medialab, 2009. http://dx.doi.org/10.22323/1.061.0034.
Full textCOURTOY, Aurore. "T-odd TMDs in Quark Models." In Light Cone 2010: Relativistic Hadronic and Particle Physics. Trieste, Italy: Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.119.0055.
Full textWang, Xuefeng, and Weidong Zhu. "The Spatial and Temporal Harmonic Balance Method for Obtaining Periodic Responses of a Nonlinear Partial Differential Equation With a Linear Complex Boundary Condition." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67792.
Full textBACCHETTA, A. "MEASURING TRANSVERSITY WITH T-ODD SINGLE PARTICLE PRODUCTION." In Proceedings of the 9th International Workshop. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812778345_0092.
Full textMustafa, A. M., Zhongyu Li, and Lin Shao. "Molecular Dynamics Simulations of Damage Cascades Creation in Oxide-Particle-Embedded Fe." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-67356.
Full textVyasarayani, Chandrika P., Eihab M. Abdel-Rahman, John McPhee, and Stephen Birkett. "Modelling MEMS Resonators Past Pull-In." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67763.
Full textReports on the topic "Partial odds"
Lines, Lisa M., Florence K. L. Tangka, Sonja Hoover, and Sujha Subramanian. People with Colorectal Cancer in SEER-Medicare: Part D Uptake, Costs, and Outcomes. RTI Press, May 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0037.2005.
Full textPulugurtha, Srinivas S., Sarvani Duvvuri, and Sonu Mathew. Risk Factors Associated with Crash Injury Severity Involving Trucks. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2117.
Full textGajera, Hardik, Srinivas S. Pulugurtha, and Sonu Mathew. Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2034.
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