{"id":10283,"date":"2021-09-25T23:15:33","date_gmt":"2021-09-25T23:15:33","guid":{"rendered":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/?p=10283"},"modified":"2021-09-25T23:21:48","modified_gmt":"2021-09-25T23:21:48","slug":"regresion-logistica","status":"publish","type":"post","link":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/regresion-logistica\/","title":{"rendered":"Regresi\u00f3n Log\u00edstica"},"content":{"rendered":"<p>[et_pb_section fb_built=\u00bb1&#8243; admin_label=\u00bbsection\u00bb _builder_version=\u00bb3.22&#8243; da_disable_devices=\u00bboff|off|off\u00bb da_is_popup=\u00bboff\u00bb da_exit_intent=\u00bboff\u00bb da_has_close=\u00bbon\u00bb da_alt_close=\u00bboff\u00bb da_dark_close=\u00bboff\u00bb da_not_modal=\u00bbon\u00bb da_is_singular=\u00bboff\u00bb da_with_loader=\u00bboff\u00bb da_has_shadow=\u00bbon\u00bb][et_pb_row admin_label=\u00bbrow\u00bb _builder_version=\u00bb3.25&#8243; background_size=\u00bbinitial\u00bb background_position=\u00bbtop_left\u00bb background_repeat=\u00bbrepeat\u00bb][et_pb_column type=\u00bb4_4&#8243; _builder_version=\u00bb3.25&#8243; custom_padding=\u00bb|||\u00bb custom_padding__hover=\u00bb|||\u00bb][et_pb_code _builder_version=\u00bb4.9.10&#8243; _module_preset=\u00bbdefault\u00bb]<code><\/p>\n<div style=\"width: 100%;\">\n<div style=\"position: relative; padding-bottom: 56.25%; padding-top: 0; height: 0;\"><iframe loading=\"lazy\" frameborder=\"0\" width=\"1200\" height=\"675\" style=\"position: absolute; top: 0; left: 0; width: 100%; height: 100%;\" src=\"https:\/\/view.genial.ly\/5f831e25c5d19e0d0f4c0394\" type=\"text\/html\" allowscriptaccess=\"always\" allowfullscreen=\"true\" scrolling=\"yes\" allownetworking=\"all\"><\/iframe> <\/div>\n<\/p><\/div>\n<p><\/code>[\/et_pb_code][et_pb_text admin_label=\u00bbText\u00bb _builder_version=\u00bb4.9.10&#8243; background_size=\u00bbinitial\u00bb background_position=\u00bbtop_left\u00bb background_repeat=\u00bbrepeat\u00bb hover_enabled=\u00bb0&#8243; sticky_enabled=\u00bb0&#8243;]<\/p>\n<p><b>Facultad:<\/b> Medicina<br \/><b>Maestr\u00eda:<\/b>\u00a0<span>Maestr\u00eda en Epidemiolog\u00eda para la Salud P\u00fablica<\/span><br \/><b>Materia: <\/b>Bioestad\u00edstica aplicada a problemas de salud<\/p>\n<p><strong>Regresi\u00f3n Log\u00edstica<\/strong><\/p>\n<div>\n<div><span>En un modelo de regresi\u00f3n lineal simple podemos analizar la asociaci\u00f3n entre dos variables. Sin embargo, nuestra variable dependiente no siempre ser\u00e1 una variable num\u00e9rica continua. De hecho, en epidemiolog\u00eda, encontramos muchas variables dependientes categ\u00f3ricas con dos valores (por ejemplo presencia o ausencia de una enfermedad).<\/span><\/div>\n<div><span><\/span><\/div>\n<div><span>El modelo de regresi\u00f3n log\u00edstica nos permite modelizar esta respuesta, ajustando por otras variables potencialmente confusoras.<\/span><\/div>\n<\/div>\n<div class=\"genially-social-container-genially genially-horizontal header-fixed\" data-width=\"1200\" data-height=\"675\">\n<div class=\"container-wrapper-genially\">\n<div id=\"5fad5b3d617ad712c4a58dfd\" class=\"genially-embed genially-view-not-is-mobile\" rendered=\"true\" min-width=\"992px 768px 720px\">\n<div class=\"provider-container\">\n<div class=\"router-container\" data-genially-name=\"genially\">\n<div class=\"pre-container\">\n<div class=\"genially-view-route genially-view-route-hidden-scroll\">\n<div id=\"zoom-wrapper-8df00bf3-9e9e-4345-9948-02857316280a\" class=\"pt-slide-current notransition-in\">\n<div class=\"genially-view-sketch-field-slide-container\">\n<div class=\"genially-view-slide-container\">\n<div id=\"8df00bf3-9e9e-4345-9948-02857316280a\" class=\"genially-view-slide\">\n<div class=\"genially-view-slide-wrapper-transform\">\n<div data-initial-left=\"19.809px\" data-initial-top=\"200.529px\" class=\"genially-animated-wrapper\" id=\"genially-animated-aaafadc1-acce-4fb8-badb-09f98f5738d4\">\n<div id=\"aaafadc1-acce-4fb8-badb-09f98f5738d4\" data-cy=\"textItemView\" data-genially-id=\"5fad5b3d617ad712c4a58dfd\" class=\"genially-view-item genially-view-text text-align-left interparagraph_small genially-view-text-indent-list-v4\">\n<ol><\/ol>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=\u00bb4.9.10&#8243; _module_preset=\u00bbdefault\u00bb min_height=\u00bb182px\u00bb][et_pb_column type=\u00bb4_4&#8243; _builder_version=\u00bb4.9.10&#8243; _module_preset=\u00bbdefault\u00bb][et_pb_text _builder_version=\u00bb4.9.10&#8243; _module_preset=\u00bbdefault\u00bb]<strong>C\u00f3digo iFrame<\/strong><\/p>\n<pre class=\"brush: php; title: ; notranslate\" title=\"\">\n&lt;div style=&quot;width: 100%;&quot;&gt;&lt;div style=&quot;position: relative; padding-bottom: 56.25%; padding-top: 0; height: 0;&quot;&gt;&lt;iframe frameborder=&quot;0&quot; width=&quot;1200&quot; height=&quot;675&quot; style=&quot;position: absolute; top: 0; left: 0; width: 100%; height: 100%;&quot; src=&quot;https:\/\/view.genial.ly\/5f831e25c5d19e0d0f4c0394&quot; type=&quot;text\/html&quot; allowscriptaccess=&quot;always&quot; allowfullscreen=&quot;true&quot; scrolling=&quot;yes&quot; allownetworking=&quot;all&quot;&gt;&lt;\/iframe&gt; &lt;\/div&gt; &lt;\/div&gt;\n<\/pre>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Facultad: MedicinaMaestr\u00eda:\u00a0Maestr\u00eda en Epidemiolog\u00eda para la Salud P\u00fablicaMateria: Bioestad\u00edstica aplicada a problemas de salud Regresi\u00f3n Log\u00edstica En un modelo de regresi\u00f3n lineal simple podemos analizar la asociaci\u00f3n entre dos variables. Sin embargo, nuestra variable dependiente no siempre ser\u00e1 una variable num\u00e9rica continua. De hecho, en epidemiolog\u00eda, encontramos muchas variables dependientes categ\u00f3ricas con dos valores (por [&hellip;]<\/p>\n","protected":false},"author":13,"featured_media":10288,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[2167,387],"tags":[2228,771,1121,2534,1230],"_links":{"self":[{"href":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/wp-json\/wp\/v2\/posts\/10283"}],"collection":[{"href":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/wp-json\/wp\/v2\/comments?post=10283"}],"version-history":[{"count":8,"href":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/wp-json\/wp\/v2\/posts\/10283\/revisions"}],"predecessor-version":[{"id":10292,"href":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/wp-json\/wp\/v2\/posts\/10283\/revisions\/10292"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/wp-json\/wp\/v2\/media\/10288"}],"wp:attachment":[{"href":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/wp-json\/wp\/v2\/media?parent=10283"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/wp-json\/wp\/v2\/categories?post=10283"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/puceapex.puce.edu.ec\/web\/cev\/wp-json\/wp\/v2\/tags?post=10283"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}