Estadística en salud. Los números no son solo para los matemáticos
: figuras, tablas ; 28 cm
- Autores:
-
Patiño Palma, Brayan Esneider
Afanador Restrepo, Diego Fernando
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2023
- Institución:
- Fundación Universitaria del Área Andina
- Repositorio:
- Repositorio Digital Areandina
- Idioma:
- spa
- OAI Identifier:
- oai:digitk.areandina.edu.co:areandina/5913
- Acceso en línea:
- https://digitk.areandina.edu.co/handle/areandina/5913
- Palabra clave:
- Estadística médica
Investigación científica
Toma de decisiones
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-sa/4.0/
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Estadística en salud. Los números no son solo para los matemáticos |
| title |
Estadística en salud. Los números no son solo para los matemáticos |
| spellingShingle |
Estadística en salud. Los números no son solo para los matemáticos Estadística médica Investigación científica Toma de decisiones |
| title_short |
Estadística en salud. Los números no son solo para los matemáticos |
| title_full |
Estadística en salud. Los números no son solo para los matemáticos |
| title_fullStr |
Estadística en salud. Los números no son solo para los matemáticos |
| title_full_unstemmed |
Estadística en salud. Los números no son solo para los matemáticos |
| title_sort |
Estadística en salud. Los números no son solo para los matemáticos |
| dc.creator.fl_str_mv |
Patiño Palma, Brayan Esneider Afanador Restrepo, Diego Fernando |
| dc.contributor.author.none.fl_str_mv |
Patiño Palma, Brayan Esneider Afanador Restrepo, Diego Fernando |
| dc.subject.armarc.none.fl_str_mv |
Estadística médica Investigación científica Toma de decisiones |
| topic |
Estadística médica Investigación científica Toma de decisiones |
| description |
: figuras, tablas ; 28 cm |
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Agresti, A. (2018). An Introduction to Categorical Data Analysis. Wiley. Agresti, A., & Finlay, B. (2018). Statistical Methods for the Social Sciences. Pearson. Aguinis, H. (2004). Regression Analysis for Categorical Moderators. Guilford Press. Argyrous, G. (2008). Statistics for Research: With a Guide to SPSS. SAGE Publications. Bausell, R. B. (2015). Beyond Null Hypothesis Significance Testing: Reconceptualizing Statistical Inference. SAGE Publications. Bluman, A. G. (2017). Elementary Statistics: A Step-by-Step Approach. McGraw-Hill Education. Briega, R. E. L. (2016, 29 junio). Distribuciones de probabilidad con Python. https:// relopezbriega.github.io/blog/2016/06/29/distribuciones-de-probabilidad-conpython/ Bulmer, M. G. (1979). Principles of Statistics. Dover Publications. Carcelén-Fraile, M. D. C., Lorenzo-Nocino, M. F., Afanador-Restrepo, D. F., RodríguezLópez, C., Aibar-Almazán, A., Hita-Contreras, F., . . . Castellote-Caballero, Y. (2022). Effects of different intervention combined with resistance training on musculoskeletal health in older male adults with sarcopenia: A systematic review. Front Public Health, (10), 1037464. doi:10.3389/fpubh.2022.1037464 Christensen, L. B., Johnson, R. B., & Turner, L. A. (2019). Research Methods, Design and Analysis. Pearson. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. Routledge Cohen, J. (1994). The Earth Is Round (p<. 05). American Psychologist, 49(12), 997- 1003. Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences. Routledge. Conover, W. J. (1999). Practical nonparametric statistics (3rd ed.). Wiley. Córdova Zamora, M. (2005). Introducción a la Inferencia Estadística. Ecoe Ediciones. Cumming, G. (2012). Understanding the New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis. Routledge. Cumming, G. (2014). Hypothesis Testing in Statistics: A Reconceptualization of Statistical Inference. Psychological Science, 25(1), 7-29. Dalgaard, P. (2008). Introductory Statistics with R. Springer. Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2015). Introductory Statistics with Randomization and Simulation. OpenIntro. Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2017). OpenIntro Statistics. OpenIntro. Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics. SAGE Publications. Field, A. (2017). Discovering Statistics Using IBM SPSS Statistics. SAGE Publications. Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics. SAGE Publications. Field, A., & Hole, G. (2018). How to Design and Report Experiments. SAGE Publications. Fox, J. (2015). Applied Regression Analysis and Generalized Linear Models. SAGE Publications. Gibbons, J. D. (2011). Nonparametric statistics: An introduction (2nd ed.). Sage. Gravetter, F. J., & Wallnau, L. B. (2017). Essentials of Statistics for the Behavioral Sciences. Cengage Learning. Gravetter, F. J., & Wallnau, L. B. (2017). Statistics for the Behavioral Sciences. Cengage Learning. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis. Pearson Harwell, M. R., Rubinstein, E. N., Hayes, W. S., & Olds, C. C. (1992). Summarizing Monte Carlo Results in Methodology Articles: Some Rejoinders to Thompson and Pierce. Journal of Experimental Education, 61(2), 163-170. Hays, W. L. (2018). Statistics for the Social Sciences. Cengage Learning. Heiman, G. W. (2017). Basic Statistics for the Behavioral Sciences. Cengage Learning Hollander, M., & Wolfe, D. A. (1999). Nonparametric statistical methods (2nd ed.). Wiley. Howell, D. C. (2013). Estadística para las Ciencias del Comportamiento. Cengage Learning. Howell, D. C. (2013). Fundamental Statistics for the Behavioral Sciences. Cengage Learning. Howell, D. C. (2013). Statistical Methods for Psychology. Cengage Learning Jaén-Extremera, J., Afanador-Restrepo, D. F., Rivas-Campo, Y., Gómez-Rodas, A., AibarAlmazán, A., Hita-Contreras, F., . . . Ortiz-Quesada, R. (2023). Effectiveness of Telemedicine for Reducing Cardiovascular Risk: A Systematic Review and MetaAnalysis. J Clin Med, 12(3). doi:10.3390/jcm12030841 Jason, F. (2021). The correlation coefficient: What it is, what it tells investors. Investopedia. https://www.investopedia.com/terms/c/correlationcoefficient. asp Johnson, R. A., & Wichern, D. W. (2007). Métodos Estadísticos. Pearson Educación. Keppel, G., & Wickens, T. D. (2004). Design and Analysis: A Researcher’s Handbook. Pearson. Kruskal, W., & Tanur, J. (2016). The American Statistician. Taylor & Francis. Lehmann, E. L. (2006). Nonparametrics: Statistical methods based on ranks (1st ed.). Springer. Levin, J., & Fox, J. A. (2014). Elementary Statistics in Social Research: The Essentials. Pearson. Levin, J., & Fox, J. A. (2016). Elementary Statistics in Social Research: The Essentials. Pearson. Lix, L. M., Keselman, H. J., & Keselman, J. C. (1996). Consequences of Assumption Violations Revisited: A Quantitative Review of Alternatives to the One-Way Analysis of Variance F Test. Review of Educational Research, 66(4), 579-619. Massé, E. L. (2005). Estadística Aplicada a la Investigación Científica. Limusa Wiley. Maxwell, S. E., & Delaney, H. D. (2004). Designing Experiments and Analyzing Data: A Model Comparison Perspective. Psychology Press. McElreath, R. (2016). Inferential Statistics: A Bayesian Approach. CRC Press. Missau, E., Teixeira, A. D. O., Franco, O. S., Martins, C. N., Paulitsch, F. da S., Perez, W., Silva, A. M. V. da, & Signori, L. U. (2015). Estadística aplicada a las ciencias de la salud. En Estadística aplicada a las ciencias de la salud. Elsevier España. https:// doi.org/10.1016/c2013-0-18792-2 Navarro, D. J. (2018). Learning Statistics with R: A Tutorial for Psychology Students and Other Beginners. University of Adelaide Press. Navarro, J. I. (2015). Estadística para psicólogos. Editorial Médica Panamericana. Newbold, P., Carlson, W. L., & Thorne, B. (2013). Estadística para Administración y Economía. Pearson Educación. Norušis, M. J. (2018). IBM SPSS Statistics 25 Guide to Data Analysis. Pearson. Olive, D. J. (2015). Statistical Inference: A Short Course. Routledge. Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016). Rayyan—a web and mobile app for systematic reviews. Systematic Reviews, 5(1), 210. doi:10.1186/s13643-016-0384-4 Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., . . . Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Bmj, 372, n71. doi:10.1136/bmj.n71 Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., . . . Moher, D. (2021a). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. International Journal of Surgery, 88, 105906. doi:https://doi.org/10.1016/j.ijsu.2021.105906 Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., . . . Moher, D. (2021b). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Systematic Reviews, 10(1), 89. doi:10.1186/ s13643-021-01626-4 Pallant, J. (2016). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS. McGraw-Hill Education. Peck, R., Olsen, C., & Devore, J. (2018). Statistics: The Exploration and Analysis of Data. Cengage Learning. Pedhazur, E. J., & Schmelkin, L. P. (1991). Measurement, Design, and Analysis: An Integrated Approach. Psychology Press Peña, D., Torgo, L., & Vallejo, C. (2016). Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data. Morgan Kaufmann. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods. SAGE Publications. Rivas-Campo, Y., García-Garro, P. A., Aibar-Almazán, A., Martínez-Amat, A., VegaÁvila, G. C., Afanador-Restrepo, D. F., . . . Hita-Contreras, F. (2022). The Effects of High-Intensity Functional Training on Cognition in Older Adults with Cognitive Impairment: A Systematic Review. Healthcare (Basel), 10(4). doi:10.3390/healthcare10040670 Rosenthal, R., & Rosnow, R. L. (1991). Essentials of Behavioral Research: Methods and Data Analysis (3rd Ed.). McGraw-Hill Education. Rosenthal, R., & Rosnow, R. L. (2008). Artifacts in Behavioral Research: Robert Rosenthal and Ralph L. Rosnow’s Classic Books. Oxford University Press. Rouder, J. N., & Morey, R. D. (2012). A Bayesian Approach to Hypothesis Testing: The Savage-Dickey Method. Psychological Science, 23(11), 1385-1393. Runyon, R. P., & Haber, A. (2018). Fundamentals of Behavioral Statistics. Cengage Learning. Salkind, N. J. (2017). Statistics for People Who (Think They) Hate Statistics. SAGE Publications. Sheskin, D. J. (2011). Handbook of Parametric and Nonparametric Statistical Procedures. CRC Press. Siegel, S., & Castellan Jr, N. J. (1988). Nonparametric statistics for the behavioral sciences (2nd ed.). McGraw-Hill. Stevens, J. (2012). Applied Multivariate Statistics for the Social Sciences. Routledge Stuart, E. A., & Rubin, D. B. (2005). Introduction to the Theory of Hypothesis Testing. The American Journal of Public Health, 95(3), 400-406. Sullivan, L. M. (2017). Essentials of Biostatistics in Public Health. Jones & Bartlett Learning. Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics. Pearson. Trochim, W. M. K., & Donnelly, J. P. (2007). The Research Methods Knowledge Base. Atomic Dog. Wackerly, D., Mendenhall, W., & Scheaffer, R. L. (2008). Estadística Matemática con Aplicaciones. Cengage Learning. Wasserman, L. (2006). All of nonparametric statistics (1st ed.). Springer. Wasserstein, R. L., & Lazar, N. A. (2016). The Role of Hypothesis Testing in Science. The American Statistician, 70(2), 104-109. Weakliem, D. L. (2010). Hypothesis Testing and Model Selection in the Social Sciences. Sociological Methods & Research, 39(4), 570-603. Webb, N. L. (2018). Statistics for Business and Economics. Cengage Learning. Wilcox, R. R. (2009). Basic Statistics: Understanding Conventional Methods and Modern Insights. Oxford University Press Wilcox, R. R. (2012). Introduction to robust estimation and hypothesis testing (3rd ed.). Academic Press. Zar, J. H. (2013). Biostatistical Analysis. Pearson Zimmerman, D. W. (2004). A Note on the Influence of Study Size on Statistical Significance. Educational and Psychological Measurement, 64(3), 391-402. |
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Patiño Palma, Brayan EsneiderAfanador Restrepo, Diego Fernando2024-03-19T21:43:00Z2024-03-19T21:43:00Z2023-12https://digitk.areandina.edu.co/handle/areandina/5913978-958-5139-95-4: figuras, tablas ; 28 cmEn la introducción de esta sección se resalta la importancia de la estadística como herramienta crucial para el análisis de datos en la investigación, ya que permite la síntesis y descripción de información sobre características específicas de individuos o elementos en una población y a partir de estos poder inferir o llegar a conclusiones sobre toda una población. Además, se explican algunos conceptos previos necesarios para entender las nociones y técnicas de análisis que se presentarán en el resto de capítulos, los cuales son el objetivo principal de este trabajo.Consideraciones generales.-- Pregunta de investigación.-- Objetivo de investigación.-- Justificación.-- Marco referencial.-- Metodología.-- Resultados.-- Conclusiones.-- Recomendaciones.-- Bibliografía.136 páginasapplication/pdfspaFundación Universitaria del Área AndinaBogotáEL AUTOR-ESTUDIANTE, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto, la obra es de su exclusiva autoría y tiene la titularidad sobre la misma. PARÁGRAFO: en caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL ESTUDIANTE-AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la Fundación Universitaria del Área Andina actúa como un tercero de buena fe.https://creativecommons.org/licenses/by-nc-sa/4.0/Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Estadística en salud. Los números no son solo para los matemáticosLibrohttp://purl.org/coar/resource_type/c_2f33Textinfo:eu-repo/semantics/bookhttps://purl.org/redcol/resource_type/LIBinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Estadística médicaInvestigación científicaToma de decisionesAgresti, A. (2018). An Introduction to Categorical Data Analysis. Wiley.Agresti, A., & Finlay, B. (2018). Statistical Methods for the Social Sciences. Pearson.Aguinis, H. (2004). Regression Analysis for Categorical Moderators. Guilford Press.Argyrous, G. (2008). Statistics for Research: With a Guide to SPSS. SAGE Publications.Bausell, R. B. (2015). Beyond Null Hypothesis Significance Testing: Reconceptualizing Statistical Inference. SAGE Publications.Bluman, A. G. (2017). Elementary Statistics: A Step-by-Step Approach. McGraw-Hill Education.Briega, R. E. L. (2016, 29 junio). Distribuciones de probabilidad con Python. https:// relopezbriega.github.io/blog/2016/06/29/distribuciones-de-probabilidad-conpython/Bulmer, M. G. (1979). Principles of Statistics. Dover Publications.Carcelén-Fraile, M. D. C., Lorenzo-Nocino, M. F., Afanador-Restrepo, D. F., RodríguezLópez, C., Aibar-Almazán, A., Hita-Contreras, F., . . . Castellote-Caballero, Y. (2022). Effects of different intervention combined with resistance training on musculoskeletal health in older male adults with sarcopenia: A systematic review. Front Public Health, (10), 1037464. doi:10.3389/fpubh.2022.1037464Christensen, L. B., Johnson, R. B., & Turner, L. A. (2019). Research Methods, Design and Analysis. Pearson.Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. RoutledgeCohen, J. (1994). The Earth Is Round (p<. 05). American Psychologist, 49(12), 997- 1003.Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences. Routledge.Conover, W. J. (1999). Practical nonparametric statistics (3rd ed.). Wiley.Córdova Zamora, M. (2005). Introducción a la Inferencia Estadística. Ecoe Ediciones.Cumming, G. (2012). Understanding the New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis. Routledge.Cumming, G. (2014). Hypothesis Testing in Statistics: A Reconceptualization of Statistical Inference. Psychological Science, 25(1), 7-29.Dalgaard, P. (2008). Introductory Statistics with R. Springer.Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2015). Introductory Statistics with Randomization and Simulation. OpenIntro.Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2017). OpenIntro Statistics. OpenIntro.Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics. SAGE Publications.Field, A. (2017). Discovering Statistics Using IBM SPSS Statistics. SAGE Publications.Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics. SAGE Publications.Field, A., & Hole, G. (2018). How to Design and Report Experiments. SAGE Publications.Fox, J. (2015). Applied Regression Analysis and Generalized Linear Models. SAGE Publications.Gibbons, J. D. (2011). Nonparametric statistics: An introduction (2nd ed.). Sage.Gravetter, F. J., & Wallnau, L. B. (2017). Essentials of Statistics for the Behavioral Sciences. Cengage Learning.Gravetter, F. J., & Wallnau, L. B. (2017). Statistics for the Behavioral Sciences. Cengage Learning.Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis. PearsonHarwell, M. R., Rubinstein, E. N., Hayes, W. S., & Olds, C. C. (1992). Summarizing Monte Carlo Results in Methodology Articles: Some Rejoinders to Thompson and Pierce. Journal of Experimental Education, 61(2), 163-170.Hays, W. L. (2018). Statistics for the Social Sciences. Cengage Learning.Heiman, G. W. (2017). Basic Statistics for the Behavioral Sciences. Cengage LearningHollander, M., & Wolfe, D. A. (1999). Nonparametric statistical methods (2nd ed.). Wiley.Howell, D. C. (2013). Estadística para las Ciencias del Comportamiento. Cengage Learning.Howell, D. C. (2013). Fundamental Statistics for the Behavioral Sciences. Cengage Learning.Howell, D. C. (2013). Statistical Methods for Psychology. Cengage LearningJaén-Extremera, J., Afanador-Restrepo, D. F., Rivas-Campo, Y., Gómez-Rodas, A., AibarAlmazán, A., Hita-Contreras, F., . . . Ortiz-Quesada, R. (2023). Effectiveness of Telemedicine for Reducing Cardiovascular Risk: A Systematic Review and MetaAnalysis. J Clin Med, 12(3). doi:10.3390/jcm12030841Jason, F. (2021). The correlation coefficient: What it is, what it tells investors. Investopedia. https://www.investopedia.com/terms/c/correlationcoefficient. aspJohnson, R. A., & Wichern, D. W. (2007). Métodos Estadísticos. Pearson Educación. Keppel, G., & Wickens, T. D. (2004). Design and Analysis: A Researcher’s Handbook. Pearson.Kruskal, W., & Tanur, J. (2016). The American Statistician. Taylor & Francis.Lehmann, E. L. (2006). Nonparametrics: Statistical methods based on ranks (1st ed.). Springer.Levin, J., & Fox, J. A. (2014). Elementary Statistics in Social Research: The Essentials. Pearson.Levin, J., & Fox, J. A. (2016). Elementary Statistics in Social Research: The Essentials. Pearson.Lix, L. M., Keselman, H. J., & Keselman, J. C. (1996). Consequences of Assumption Violations Revisited: A Quantitative Review of Alternatives to the One-Way Analysis of Variance F Test. Review of Educational Research, 66(4), 579-619.Massé, E. L. (2005). Estadística Aplicada a la Investigación Científica. Limusa Wiley.Maxwell, S. E., & Delaney, H. D. (2004). Designing Experiments and Analyzing Data: A Model Comparison Perspective. Psychology Press.McElreath, R. (2016). Inferential Statistics: A Bayesian Approach. CRC Press.Missau, E., Teixeira, A. D. O., Franco, O. S., Martins, C. N., Paulitsch, F. da S., Perez, W., Silva, A. M. V. da, & Signori, L. U. (2015). Estadística aplicada a las ciencias de la salud. En Estadística aplicada a las ciencias de la salud. Elsevier España. https:// doi.org/10.1016/c2013-0-18792-2Navarro, D. J. (2018). Learning Statistics with R: A Tutorial for Psychology Students and Other Beginners. University of Adelaide Press.Navarro, J. I. (2015). Estadística para psicólogos. 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