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Blog de Sociología", "websiteType": "", "date": "2014-02-21T16:19:00+00:00", "publisher": "", "place": "", "DOI": "", "citationKey": "", "url": "http://networkianos.com/regresion-logistica-binaria/", "accessDate": "2020-03-17T17:09:36Z", "shortTitle": "", "language": "es", "rights": "", "extra": "Library Catalog: networkianos.com\nSection: estadística", "tags": [], "collections": [], "relations": {}, "dateAdded": "2020-03-17T17:09:36Z", "dateModified": "2020-03-17T17:09:36Z" } }, { "key": "QRPKLD5P", "version": 41, "library": { "type": "group", "id": 460261, "name": "Cursos de Regresión Lineal y Regresión Logística en SPSS aplicada a la Investigación Social", "links": { "alternate": { "href": "https://www.zotero.org/groups/cursos_de_regresin_lineal_y_regresin_logstica_en_spss_aplicada_a_la_investigacin_social", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/460261/items/QRPKLD5P", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/cursos_de_regresin_lineal_y_regresin_logstica_en_spss_aplicada_a_la_investigacin_social/items/QRPKLD5P", "type": "text/html" } }, "meta": { "createdByUser": { "id": 354304, "username": "manuelhusagre", "name": "Manuel Herrera-Usagre", "links": { "alternate": { "href": "https://www.zotero.org/manuelhusagre", "type": "text/html" } } }, "creatorSummary": "Karlson et al.", "parsedDate": "2012-08-01", "numChildren": 0 }, "data": { "key": "QRPKLD5P", "version": 41, "itemType": "journalArticle", "title": "Comparing Regression Coefficients Between Same-sample Nested Models Using Logit and Probit: A New Method", "creators": [ { "creatorType": "author", "firstName": "Kristian Bernt", "lastName": "Karlson" }, { "creatorType": "author", "firstName": "Anders", "lastName": "Holm" }, { "creatorType": "author", "firstName": "Richard", "lastName": "Breen" } ], "abstractNote": "Logit and probit models are widely used in empirical sociological research. However, the common practice of comparing the coefficients of a given variable across differently specified models fitted to the same sample does not warrant the same interpretation in logits and probits as in linear regression. Unlike linear models, the change in the coefficient of the variable of interest cannot be straightforwardly attributed to the inclusion of confounding variables. The reason for this is that the variance of the underlying latent variable is not identified and will differ between models. We refer to this as the problem of rescaling. We propose a solution that allows researchers to assess the influence of confounding relative to the influence of rescaling, and we develop a test to assess the statistical significance of confounding. A further problem in making comparisons is that, in most cases, the error distribution, and not just its variance, will differ across models. Monte Carlo analyses indicate that other methods that have been proposed for dealing with the rescaling problem can lead to mistaken inferences if the error distributions are very different. In contrast, in all scenarios studied, our approach performs as least as well as, and in some cases better than, others when faced with differences in the error distributions. We present an example of our method using data from the National Education Longitudinal Study.", "publicationTitle": "Sociological Methodology", "publisher": "", "place": "", "date": "August 1, 2012", "volume": "42", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "286-313", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Sociological Methodology", "DOI": "10.1177/0081175012444861", "citationKey": "", "url": "https://doi.org/10.1177/0081175012444861", "accessDate": "2019-06-21T07:19:51Z", "PMID": "", "PMCID": "", "ISSN": "0081-1750", "archive": "", "archiveLocation": "", "shortTitle": "Comparing Regression Coefficients Between Same-sample Nested Models Using Logit and Probit", "language": "en", "libraryCatalog": "SAGE Journals", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2019-06-21T07:19:51Z", "dateModified": "2019-06-21T07:19:51Z" } }, { "key": "W5VHIZJ4", "version": 40, 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"websiteType": "", "date": "", "publisher": "", "place": "", "DOI": "", "citationKey": "", "url": "https://permalinks.23andme.com/pdf/23-12_predictivemodel_methodology_02oct2015.pdf", "accessDate": "2019-06-16T21:18:41Z", "shortTitle": "", "language": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2019-06-16T21:18:41Z", "dateModified": "2019-06-16T21:18:41Z" } }, { "key": "FPXP9VPL", "version": 39, "library": { "type": "group", "id": 460261, "name": "Cursos de Regresión Lineal y Regresión Logística en SPSS aplicada a la Investigación Social", "links": { "alternate": { "href": "https://www.zotero.org/groups/cursos_de_regresin_lineal_y_regresin_logstica_en_spss_aplicada_a_la_investigacin_social", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/460261/items/FPXP9VPL", "type": "application/json" }, "alternate": { "href": 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"name": "Cursos de Regresión Lineal y Regresión Logística en SPSS aplicada a la Investigación Social", "links": { "alternate": { "href": "https://www.zotero.org/groups/cursos_de_regresin_lineal_y_regresin_logstica_en_spss_aplicada_a_la_investigacin_social", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/460261/items/AQEAGV5L", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/cursos_de_regresin_lineal_y_regresin_logstica_en_spss_aplicada_a_la_investigacin_social/items/AQEAGV5L", "type": "text/html" } }, "meta": { "createdByUser": { "id": 354304, "username": "manuelhusagre", "name": "Manuel Herrera-Usagre", "links": { "alternate": { "href": "https://www.zotero.org/manuelhusagre", "type": "text/html" } } }, "creatorSummary": "Greenland et al.", "parsedDate": "2016", "numChildren": 0 }, "data": { "key": "AQEAGV5L", "version": 46, "itemType": "journalArticle", "title": "Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations", "creators": [ { "creatorType": "author", "firstName": "Sander", "lastName": "Greenland" }, { "creatorType": "author", "firstName": "Stephen J.", "lastName": "Senn" }, { "creatorType": "author", "firstName": "Kenneth J.", "lastName": "Rothman" }, { "creatorType": "author", "firstName": "John B.", "lastName": "Carlin" }, { "creatorType": "author", "firstName": "Charles", "lastName": "Poole" }, { "creatorType": "author", "firstName": "Steven N.", "lastName": "Goodman" }, { "creatorType": "author", "firstName": "Douglas G.", "lastName": "Altman" } ], "abstractNote": "Misinterpretation and abuse of statistical tests, confidence intervals, and statistical power have been decried for decades, yet remain rampant. A key problem is that there are no interpretations of these concepts that are at once simple, intuitive, correct, and foolproof. Instead, correct use and interpretation of these statistics requires an attention to detail which seems to tax the patience of working scientists. This high cognitive demand has led to an epidemic of shortcut definitions and interpretations that are simply wrong, sometimes disastrously so—and yet these misinterpretations dominate much of the scientific literature. In light of this problem, we provide definitions and a discussion of basic statistics that are more general and critical than typically found in traditional introductory expositions. Our goal is to provide a resource for instructors, researchers, and consumers of statistics whose knowledge of statistical theory and technique may be limited but who wish to avoid and spot misinterpretations. We emphasize how violation of often unstated analysis protocols (such as selecting analyses for presentation based on the P values they produce) can lead to small P values even if the declared test hypothesis is correct, and can lead to large P values even if that hypothesis is incorrect. We then provide an explanatory list of 25 misinterpretations of P values, confidence intervals, and power. We conclude with guidelines for improving statistical interpretation and reporting.", "publicationTitle": "European Journal of Epidemiology", "publisher": "", "place": "", "date": "2016", "volume": "31", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "337-350", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Eur J Epidemiol", "DOI": "10.1007/s10654-016-0149-3", "citationKey": "", "url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877414/", "accessDate": "2018-06-25T21:37:49Z", "PMID": "27209009", "PMCID": "PMC4877414", "ISSN": "0393-2990", "archive": "", "archiveLocation": "", "shortTitle": "Statistical tests, P values, confidence intervals, and power", "language": "", "libraryCatalog": "PubMed Central", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2018-06-25T21:38:06Z", "dateModified": "2018-06-25T21:38:06Z" } }, { "key": "TMYX23VV", "version": 37, "library": { "type": "group", "id": 460261, "name": "Cursos de Regresión Lineal y Regresión Logística en SPSS aplicada a la Investigación Social", "links": { "alternate": { "href": "https://www.zotero.org/groups/cursos_de_regresin_lineal_y_regresin_logstica_en_spss_aplicada_a_la_investigacin_social", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/460261/items/TMYX23VV", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/cursos_de_regresin_lineal_y_regresin_logstica_en_spss_aplicada_a_la_investigacin_social/items/TMYX23VV", "type": "text/html" } }, "meta": { "createdByUser": { "id": 354304, "username": "manuelhusagre", "name": "Manuel Herrera-Usagre", "links": { "alternate": { "href": "https://www.zotero.org/manuelhusagre", "type": "text/html" } } }, "creatorSummary": "UCLA: Statistical Consulting Group", "parsedDate": "2015", "numChildren": 0 }, "data": { "key": "TMYX23VV", "version": 37, "itemType": "blogPost", "title": "How do I interpret odds ratios in logistic regression?", "creators": [ { "creatorType": "author", "firstName": "", "lastName": "UCLA: Statistical Consulting Group" } ], "abstractNote": "Introduction When a binary outcome variable is modeled using logistic regression, it is assumed that the logit transformation of the outcome variable has a linear relationship with the predictor variables.  This makes the interpretation of the regression coefficients somewhat tricky.  In this page, we will walk through the concept of odds ratio and try to... Read More", "blogTitle": "IDRE Stats", "websiteType": "", "date": "2015", "DOI": "", "citationKey": "", "url": "https://stats.idre.ucla.edu/other/mult-pkg/faq/general/faq-how-do-i-interpret-odds-ratios-in-logistic-regression/", "accessDate": "2018-02-18T22:36:03Z", "ISSN": "", "shortTitle": "FAQ", "language": "en-US", "rights": "", "extra": "", "tags": [], "collections": [], "relations": { "owl:sameAs": "http://zotero.org/groups/2074691/items/S4GARKVP" }, "dateAdded": "2018-02-20T15:04:38Z", "dateModified": "2018-04-08T19:29:38Z" } }, { "key": "AP7NQ8M5", "version": 36, "library": { "type": "group", "id": 460261, "name": "Cursos de Regresión Lineal y Regresión Logística en SPSS aplicada a la Investigación Social", "links": { "alternate": { "href": "https://www.zotero.org/groups/cursos_de_regresin_lineal_y_regresin_logstica_en_spss_aplicada_a_la_investigacin_social", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/460261/items/AP7NQ8M5", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/cursos_de_regresin_lineal_y_regresin_logstica_en_spss_aplicada_a_la_investigacin_social/items/AP7NQ8M5", "type": "text/html" } }, "meta": { "createdByUser": { "id": 354304, "username": "manuelhusagre", "name": "Manuel Herrera-Usagre", "links": { "alternate": { "href": "https://www.zotero.org/manuelhusagre", "type": "text/html" } } }, "creatorSummary": "Galili", "parsedDate": "2015-12-10", "numChildren": 1 }, "data": { "key": "AP7NQ8M5", "version": 36, "itemType": "blogPost", "title": "Tutorials for learning R", "creators": [ { "creatorType": "author", "firstName": "Tal", "lastName": "Galili" } ], "abstractNote": "There are tons of resources to help you learn the different aspects of R, and as a beginner this can be overwhelming. 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