{"id":2237,"date":"2020-09-27T13:39:03","date_gmt":"2020-09-27T04:39:03","guid":{"rendered":"http:\/\/141.164.34.82\/?p=2237"},"modified":"2020-09-27T13:47:06","modified_gmt":"2020-09-27T04:47:06","slug":"%eb%a1%9c%ec%a7%80%ec%8a%a4%ed%8b%b1-%ed%9a%8c%ea%b7%80logistic-regression","status":"publish","type":"post","link":"http:\/\/ds.sumeun.org\/?p=2237","title":{"rendered":"\ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0(Logistic Regression)"},"content":{"rendered":"<h3><strong>\ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0<\/strong>\uc740 \uc65c \uc120\ud615 \ubaa8\ud615\uc778\uac00?<\/h3>\n<p>\uc778\ud130\ub137\uc744 \uac80\uc0c9\ud558\ub2e4 \ubcf4\uba74 \uc798\ubabb\ub41c \uc815\ubcf4\uac00 \uadf8\ub300\ub85c \uc720\ud1b5\ub418\ub294 \uacbd\uc6b0\ub97c \uc2ec\uc2ec\uce58 \uc54a\uac8c \ubc1c\uacac\ub418\uace4 \ud55c\ub2e4. (\uc0ac\uc2e4 \ub300\uc911\uc801\uc73c\ub85c \uc720\uba85\ud55c \ubc1c\ud45c\uc790\ub098 \ud559\uacc4\uc5d0\uc11c \uc720\uba85\ud55c \ud559\uc790\uc758 \uac15\uc758\uc5d0\uc11c\ub3c4 \uc798\ubabb\ub41c \uc815\ubcf4\ub97c \ubc1c\uacac\ud558\ub294 \uacbd\uc6b0\uac00 \ub9ce\ub2e4. \uac1c\uc778\uc801\uc778 \uacbd\ud5d8\uc73c\ub85c \ud3c9\uade0 3\uac1c \uc815\ub3c4\uc758 \uc624\ub958\uac00 \ubc1c\uacac\ub41c\ub2e4. \ubb3c\ub860 \uc81c \uae00\uc5d0\ub294 \uadf8\ubcf4\ub2e4 \ub9ce\uc740 \uc218\uc758 \uc624\ub958\uac00 \uc874\uc7ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \u3160) \uc778\ud130\ub137\uc758 \ud55c \ube14\ub85c\uadf8\uc5d0\uc11c\ub294 \ub85c\uc9c0\uc2a4\ud2f1\uc774 \ud68c\uadc0\uac00 \uc120\ud615\uc778 \uac83\uc740 <strong>\uacb0\uc815\uacbd\uacc4\uba74\uc774 \uc120\ud615<\/strong>\uc774\uae30 \ub54c\ubb38\uc774\ub77c\uace0 \ub9d0\ud55c\ub2e4.<\/p>\n<p>\ubb3c\ub860 \uc6a9\uc5b4\uc758 \uc758\ubbf8\ub294 \ubc14\ub014 \uc218\ub3c4 \uc788\uace0, \ucd9c\ucc98\ub294 \ubd88\uba85\ud655\ud55c \uacbd\uc6b0\uac00 \ub300\ubd80\ubd84\uc774\uae34 \ud558\uc9c0\ub9cc, G<strong>L<\/strong>M(Generalized <strong>Linear<\/strong> Model; \uc77c\ubc18\ud654 <strong>\uc120\ud615<\/strong> \ubaa8\ud615)\uc740 <strong>Linear<\/strong> Model\uc5d0 \ub9c1\ud06c \ud568\uc218(\uc5f0\uacb0\ud568\uc218; Link function)\uc744 \uc801\uc6a9\ud55c \uac83\uc774\uae30\uc5d0, <a href=\"http:\/\/141.164.34.82\/?p=1806\">\uc120\ud615 \ubaa8\ud615 1: \uc120\ud615\uc758 \uc758\ubbf8<\/a>\uc5d0\uc11c \uc124\uba85\ud55c \ubc14\uc640 \uac19\uc774, \uc120\ud615\uc740 \uacc4\uc218\uc758 \uc120\ud615 \ud568\uc218\uc784\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. (GLM\uc740 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0, \ud3ec\uc640\uc1a1 \ud68c\uadc0 \ub4f1\uc744 \ubaa8\ub450 \ud3ec\ud568\ud558\ub294 \uac1c\ub150\uc785\ub2c8\ub2e4.)<\/p>\n<p>\uc2e4\uc81c\ub85c \ud53c\ucc98 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \ub4f1\uc744 \ud1b5\ud574 \uacbd\uacc4\uba74\uc774 \uc120\ud615\uc774 \uc544\ub2cc \ubaa8\ud615\uc744 \ub9cc\ub4e0 \uac83\uc774 \uc5bc\ub9c8\ub4e0\uc9c0 \uac00\ub2a5\ud569\ub2c8\ub2e4.<\/p>\n<p>\uc608\ub97c \ub4e4\uc5b4 \uc124\uba85\ubcc0\uc218\uac00 \\(x_1, x_2\\) \uc774\uace0 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0\ubaa8\ud615\uc774 \\(\\textrm{logit}^{-1}\\left[\\mathbb{E}(y)\\right] = 1 + 0.5\\cdot x_1 -2 \\cdot x_2 + 1 \\cdot (x_1 \\cdot x_2)\\) \uc77c \ub54c \uacb0\uc815\uacbd\uacc4\uba74\uc740 \ub2e4\uc74c\uacfc \uac19\uc774 \uc9c1\uc120\uc774 \uc544\ub2d9\ub2c8\ub2e4.<\/p>\n<pre><code class=\"r\">library(ggplot2)\r\nlibrary(dplyr)\r\nx1 = seq(-4,4,0.1)\r\nx2 = seq(-4,4,0.1)\r\ndat &lt;- expand.grid(x1 = x1, x2 = x2)\r\ndat &lt;- dat %&gt;% \r\n  mutate(y = factor(1 + 0.5*x1 - 2*x2 + x1*x2 &gt; 0, \r\n                    levels=c(TRUE,FALSE))) \r\nggplot(data = dat) + \r\n  geom_tile(aes(x=x1, y=x2, fill=y))  + \r\n  coord_fixed(ratio=1)\r\n<\/code><\/pre>\n<p><img src=\"data:image\/png;base64,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\" alt=\"plot of chunk unnamed-chunk-1\" \/><\/p>\n<p>\uadf8\ub807\ub2e4\uba74 \uc774\uc81c\ubd80\ud130 \ubcf8\uaca9\uc801\uc73c\ub85c \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0\uc5d0 \ub300\ud574\uc11c \uc54c\uc544\ubd05\uc2dc\ub2e4.<\/p>\n<h3>\uacb0\uacfc\uac00 &#8216;0 \ub610\ub294 1&#8217;\uacfc \uac19\uc774 \uc774\uc0b0 \ubd84\ud3ec\uc77c \ub54c \uc120\ud615 \ud68c\uadc0 \ubaa8\ud615\uc758 \ubb38\uc81c\uc810<\/h3>\n<p>\ub9cc\uc57d \uacb0\uacfc \ubcc0\uc218\uac00 \ucc38\/\uac70\uc9d3, \uadf8\ub807\ub2e4\/\uc544\ub2c8\ub2e4 \uc640 \uac19\uc774 \ub450 \ubc94\uc8fc\ub85c \ub098\ud0c0\ub0bc \uc218 \uc788\ub2e4\uba74, \uc22b\uc790 0\/1\ub85c\ub3c4 \ub098\ud0c0\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uacb0\uacfc \ubcc0\uc218\uac00 0 \ub610\ub294 1\uc774\ub77c\uba74 \uc120\ud615 \ud68c\uadc0 \ubaa8\ud615\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud560 \uc218 \uc788\uc9c0\ub9cc \ub2e4\uc74c\uc758 \ubb38\uc81c\uac00 \ubc1c\uc0dd\ud558\uac8c \ub429\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\\(\\beta_1 \\neq 0\\) \uc778 \uacbd\uc6b0 \uc608\uce21\ubcc0\uc218\uc5d0 \ucee4\uc9c0\uac70\ub098 \uc791\uc544\uc9c0\uba74 \uc608\uce21\uac12\uc774 0\ubcf4\ub2e4 \uc791\uac70\ub098, 1\ubcf4\ub2e4 \ucee4\uc9c4\ub2e4. \uc124\uba85\ubcc0\uc218\uac00 \uac12\uc774 \uc8fc\uc5b4\uc84c\uc744 \ub54c \uacb0\uacfc\ubcc0\uc218\uc758 \ud3c9\uade0\uc774 1\ubcf4\ub2e4 \ud06c\ub2e4\ub294 \uac83\uc740 \ubb34\uc5c7\uc744 \ub9d0\ud560\uae4c\uc694? \uacb0\uacfc\ubcc0\uc218\uc758 \ucd5c\ub313\uac12\uc774 1\uc774\ubbc0\ub85c \uacb0\uacfc\ubcc0\uc218\uc758 \ud3c9\uade0\uc740 1\ubcf4\ub2e4 \ud074 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4!<\/li>\n<li>\\(Y|x\\) \uc758 \ubd84\ud3ec\ub294 \uc815\uaddc\ubd84\ud3ec\uac00 \uc544\ub2c8\ub2e4. OLS \uc120\ud615 \ud68c\uadc0\uc758 \uac00\uc815 \uc911\uc758 \ud558\ub098\ub294 \uacb0\uacfc\ubcc0\uc218\uc758 \uc870\uac74\ubd80(\uc124\uba85\ubcc0\uc218\uac00 \uc8fc\uc5b4\uc84c\uc744 \ub54c) \ubd84\ud3ec\uac00 \uc815\uaddc\ubd84\ud3ec\ub77c\ub294 \uac83\uc785\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \uc2e4\uc81c \uacb0\uacfc\ubcc0\uc218\uc758 \ubd84\ud3ec\ub294 \uc815\uaddc\ubd84\ud3ec\uc640 \uac19\uc740 \uc5f0\uc18d\ubd84\ud3ec\uac00 \uc544\ub2c8\ub77c \uc774\uc0b0\ubd84\ud3ec\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h3>\ube44\uad50 : \uc120\ud615 \ud68c\uadc0 \ubaa8\ud615\uacfc \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0 \ubaa8\ud615<\/h3>\n<p>\uc218\uc2dd\uc73c\ub85c \uc368\ubcf4\uba74 \uc120\ud615\ud68c\uadc0\ubaa8\ud615(LM)\uacfc GLM\uc758 \ud558\ub098\uc778 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0 \ubaa8\ud615\uc740 \ub2e4\uc74c\uacfc \uac19\uc774 \ub2e4\ub985\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\uc120\ud615 \ud68c\uadc0 \ubaa8\ud615 : \\(y_i = \\beta_0+ \\beta_1 x + e_i,\\ \\ e_i \\sim \\mathcal{N}(0, \\sigma^2)\\)\n<ul>\n<li>\\(\\mathbb{E}[Y | x]\\) \ub294 \\(\\beta_0+\\beta_1 x\\) \uc774\ub2e4.<\/li>\n<li>\ub530\ub77c\uc11c, \\(Y|x \\sim \\mathcal{N}(\\beta_0+\\beta_1 x, \\sigma^2)\\) .<\/li>\n<\/ul>\n<\/li>\n<li>\ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0 \ubaa8\ud615\n<ul>\n<li>\\(p_i = \\mathbb{E}[y_i | x_i]\\) \uc77c \ub54c, \\(\\log \\frac{p_i}{1-p_i} = \\beta_0 + \\beta_1 x_i\\) .<\/li>\n<li>\\(y_i | x_i \\sim \\text{bern}(p_i)\\) . ( \\(\\text{bern}\\) : \ubca0\ub974\ub204\uc774 \ubd84\ud3ec)<\/li>\n<li>\ub85c\uadf8 \uc6b0\ub3c4 \\(\\log \\frac{p}{1-p}\\) \ub294 \uacc4\uc218\uc758 \uc120\ud615 \ud568\uc218\uc774\ub2e4.<\/li>\n<li>\\(i\\) -\ubc88\uc9f8 \uad00\ucc30\uac12 \\(y_i\\) \uac00 1\uc77c \ud655\ub960 \\(p_i\\) \ub294 \\(\\mathbb{E}[Y|x]\\) \uc640 \uac19\ub2e4.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>\ub85c\uc9c0\uc2a4\ud2f1\uc758 \uac00\uc815<\/h3>\n<p>\ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0 \ubaa8\ud615\uc758 \uac00\uc815\uc774 \uc120\ud615 \ubaa8\ud615\uacfc \uc5b4\ub5bb\uac8c \ub2e4\ub978\uc9c0 \uc0b4\ud3b4\ubd05\uc2dc\ub2e4. \uc120\ud615 \ubaa8\ud615\uc758 \uac00\uc815\uc740 \ud754\ud788 LINE\uc73c\ub85c \ud45c\ud604\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li><strong>L<\/strong>inearity : \\(g(\\mathbb{E}[Y|x])\\) \ub294 \uacc4\uc218\uc758 \uc120\ud615\ud568\uc218\uc774\ub2e4.<\/li>\n<li><strong>I<\/strong>ndependence : \\(x\\) \uac00 \uc8fc\uc5b4\uc84c\uc744 \ub54c, \\(Y\\) \uc758 \ubd84\ud3ec\ub294 \uc11c\ub85c \ub3c5\ub9bd\uc774\ub2e4. \ub2e4\uc2dc \ub9d0\ud574 \\(Y_i|X_i\\) \uc640 \\(Y_j|X_j(i \\neq j)\\) \ub294 \ub3c5\ub9bd\uc774\ub77c\ub294 \uc758\ubbf8\uc785\ub2c8\ub2e4.<\/li>\n<li><del><strong>N<\/strong>ormality<\/del> : \uc624\ucc28\uc758 \ubd84\ud3ec\ub294 \uc774\ud56d\ubd84\ud3ec\uc774\ub2e4. \uc77c\ubc18\ud654 \uc120\ud615\ubaa8\ud615(GLM; Generalized Linear Model)\uc5d0\uc11c\ub294 \\(Y|x\\) \uc758 \ubd84\ud3ec\uac00 \uc774\ud56d\ubd84\ud3ec, \ub2e4\ud56d\ubd84\ud3ec, \ud478\uc640\uc1a1 \ubd84\ud3ec \ub4f1\uc73c\ub85c \ud655\uc7a5\ub41c\ub2e4.<\/li>\n<li><del><strong>E<\/strong>qual Variance<\/del> : \uc624\ucc28\uc758 \ubd84\uc0b0\uc740 \uc608\uce21 \ubcc0\uc218 \uac12\uc5d0 \ub530\ub77c \ub2ec\ub77c\uc9c8 \uc218 \uc788\ub2e4.<\/li>\n<\/ul>\n<h3>\uba87 \uac00\uc9c0 \uc6a9\uc5b4<\/h3>\n<p>\uc5ec\uae30\uc11c\ub294 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0\ub97c \uc774\ud574\ud558\uae30 \uc704\ud574 \ud544\uc694\ud55c \uba87 \uac00\uc9c0 \uc6a9\uc5b4\ub97c \uc0b4\ud3b4\ubd05\ub2c8\ub2e4.<\/p>\n<h4>\uc2b9\uc0b0(odds)<\/h4>\n<p>\uc5b4\ub5a4 \uc0ac\uac74\uc758 \ud655\ub960\uc774 \\(p\\) \uc77c \ub54c, <strong>\uc2b9\uc0b0<\/strong>\uc740 \\(\\frac{p}{1-p}\\) \uc785\ub2c8\ub2e4. \ud655\ub960\uc758 \ubc94\uc704\uac00 0\uc5d0\uc11c 1\uae4c\uc9c0\ub77c\uba74 \uc2b9\uc0b0\uc740 0\uc5d0\uc11c \ubb34\ud55c\ub300\uae4c\uc9c0\uc758 \uac12\uc744 \uac00\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. <strong>\ucc38\uc77c \ud655\ub960\uc740 \uac70\uc9d3\uc77c \ud655\ub960\uc758 \uba87 \ubc30\uc778\uac00?<\/strong>\ub780 \uc9c8\ubb38\uc5d0 \ub300\ud55c \ub2f5\uc73c\ub85c \uc0dd\uac01\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub3c4\ubc15\ud558\ub294 \uc0ac\ub78c\ub4e4\uc774 \ub9ce\uc774 \uc4f4\ub2e4\uace0 \ud558\ub124\uc694. \ub3c4\ubc15\ud558\ub294 \uc0ac\ub78c\ub4e4\uc740 \uc774\uae38 \ud655\ub960\ubcf4\ub2e4\ub294 <strong>\ud55c \ubc88 \uc783\uc744 \ub54c\ub9c8\ub2e4 \ud3c9\uade0\uc801\uc73c\ub85c \uba87 \ubc88\uc744 \ub538 \uac83\uc778\uac00?<\/strong>\ub97c \uc0dd\uac01\ud558\uaca0\uc8e0? \ubb3c\ub860 \ub3c4\ubc15\uc0ac\uc758 \uc624\ub958\uac00 \uc788\ub2e4\uace4 \ud558\uc9c0\ub9cc \ud3c9\uade0\uc801\uc73c\ub85c \uc774\uae30\ub294 \ud69f\uc218\ub294 \uc9c0\ub294 \ud69f\uc218\uc758 \uc2b9\uc0b0(odds)\ubc30\uac00 \ub429\ub2c8\ub2e4.<\/p>\n<pre><code class=\"r\">curve(x\/(1-x), xlim=c(0,1), main='odds')\r\n<\/code><\/pre>\n<p><img src=\"data:image\/png;base64,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\" alt=\"plot of chunk unnamed-chunk-2\" \/><\/p>\n<p>\uc704\uc758 \uadf8\ub798\ud504\uc5d0\uc11c \ubcf4\ub4ef\uc774 \ucc38\uc77c \ud655\ub960\uc774 \ub298\uc5b4\ub0a0 \uc218\ub85d \uc2b9\uc0b0\uc740 \uae30\ud558\uae09\uc218\uc801\uc73c\ub85c \ub298\uc5b4\ub0a9\ub2c8\ub2e4.<\/p>\n<h4>\ub85c\uc9d3<\/h4>\n<p>\ub85c\uc9d3(logit)\uc740 \uc2b9\uc0b0\uc5d0 \ub85c\uadf8\ub97c \uc50c\uc6b4 \uac83\uc785\ub2c8\ub2e4. \uc2b9\uc0b0\uc774 4\uc778 \uacbd\uc6b0\ub97c \ubd05\uc2dc\ub2e4. \ud655\ub960\uc774 0.8\uc778 \uacbd\uc6b0\uc774\uc8e0. \uc774\ub54c \uc774\uae38 \ud655\ub960\uc774 \uc544\ub2c8\ub77c \uc9c8 \ud655\ub960\uc744 \uc0dd\uac01\ud574\ubcf4\uba74 \uc9c8 \uc2b9\uc0b0\uc740 0.25\uac00 \ub429\ub2c8\ub2e4. \uc774\uae38 \uc2b9\uc0b0\uacfc \uc9c8 \uc2b9\uc0b0\uc774 4\uc640 0.25\ub85c \uc11c\ub85c\uc758 \uad00\uacc4\ub97c \uc54c\uc544\ucc44\uae30 \ud798\ub4ed\ub2c8\ub2e4.<\/p>\n<p>\ud558\uc9c0\ub9cc \ub85c\uc9d3\uc744 \uacc4\uc0b0\ud558\uba74 1.386\uacfc -1.386\uc73c\ub85c \uc11c\ub85c\uc758 \uad00\uacc4\ub97c \ubc14\ub85c \uc54c \uc218 \uc788\ub2e4\ub294 \uc7a5\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub85c\uc9d3 0\uc740 \ud655\ub960 0.5\ub97c \uc758\ubbf8\ud558\uace0, \uc591\uc218\ub294 \uc774\uae38 \ud655\ub960\uc774 \uc9c8 \ud655\ub960\ubcf4\ub2e4 \ud06c\ub2e4\ub294 \uac83\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/p>\n<p>\ub85c\uc9d3\uc740 \ub9c8\uc774\ub108\uc2a4 \ubb34\ud55c\ub300\uc5d0\uc11c \ud50c\ub7ec\uc2a4 \ubb34\ud55c\ub300\uae4c\uc9c0 \ubaa8\ub4e0 \uc2e4\uc218\uac00 \uac00\ub2a5\ud569\ub2c8\ub2e4.<\/p>\n<pre><code class=\"r\">curve(log(x\/(1-x)), xlim=c(0,1), main='logit = log(odds)')\r\n<\/code><\/pre>\n<p><img src=\"data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAfgAAAH4CAMAAACR9g9NAAAAsVBMVEUAAAAAADoAAGYAOjoAOmYAOpAAZrY6AAA6ADo6AGY6OgA6OmY6OpA6ZrY6kNtmAABmADpmAGZmOgBmOpBmZmZmZrZmkJBmkLZmkNtmtpBmtv+QOgCQOjqQOmaQZgCQZjqQtpCQttuQ29uQ2\/+2ZgC2Zjq2Zma227a22\/+2\/7a2\/9u2\/\/\/bkDrbkGbbtmbbtpDb25Db2\/\/b\/9vb\/\/\/\/tmb\/tpD\/25D\/27b\/\/7b\/\/9v\/\/\/9QYoXOAAAACXBIWXMAAAsSAAALEgHS3X78AAAMjUlEQVR4nO3dDXfayBmGYTmJTbNNTbzbdlu83W1r+pGGdtOGUpj\/\/8OKBJhve6QZad6Z577P2WPC4gnMlZEEBrlyJFmV+g5QmoAXDXjRgBcNeNGAFw140YAXDXjRgBcNeNGAFw140YAXDXjRgBcNeNGAFw140YAXDXjRgBcNeNGAFw140cqDX47ffL5y7eovE8+bOze7eTq94e3X4wvrFqP7gLuaMhX4pmk18b35cnx3ds0FeDe9+pcZr1T4f46qm+\/XPqufqnd\/W0utr\/3HY1VVDeesappcv\/n6JvX\/Pbj65vf11c8X\/vtNVb37u3PzKtMlXyj8tJG9c6sa++3oNfizm68e6y390dVVVV+9vbAcb74eL\/+cKhN+Mbr5k1uMb54WozdPa+cG\/vPVTf2lm689z68+uLD1Xj1muq0vE37erOz15rq5sByfwJ+u+PObN7DnVz9fqJf+2+\/\/XcOfHgRmEvCd4J37+advqnqxT4E3UpRNfQP\/wqa+\/s7Vj+vhWPFmunpw11x7+iTt6s1r3OsHd\/Pma\/3SAPt4K+2fn\/2u\/tO31btPu039YlTdnR6DX775dgu+u7p+Fvfb3dO55sLP9dO5J8dRvdHWW+uJ+1fli7O\/+fzCXuFSPI+32Xbb7Iuzv\/n5K3eX45U7o\/3vh6q6+ZX31nh\/87PX6i\/Ga\/WUWcCLBrxowIsGvGjAiwa8aMCLBrxowIsGvGjAiwa8aMCLBrxowIsGvGjAiwa8aMCLFgJfkeV6hA\/4Xuo74EUDXjTgRQNeNOBFA1404EUDXjTgRQNeNOBFA16hCxTAKwS8aMCLBrxmlySAFwh40YAXDXjRgBcNeNGA1+wiBPDlB7xowIsGvGjAiwa8ZpcdgC8+4EUDXrQ+4RfvL\/x6NeBt1A\/8crw9s8b5b9YD3kY9rfjNb2U9XPGeZ1mhgeptU78c335hU2+2KwxR9vGL0aVfoQq8ifqEj\/+9FC3gRQNeNOA1u6YAfOEBLxrwogGv2VUE4MsOeNGAFw14za4bAF90wIsGvGjAa\/YCAfAlB7xowGv2kgDwBQe8aMCLBrxmLwIAX27Aiwa8aMBr9vL8A19swIsGvGZhssBnG\/CavTb7wBca8Jq9OvnAlxnwmr0+98AXGfCaeUw98CUGvGY+Mw98gQGvmdfEA19ewGvmN+\/Al5bntANfWsBr5jvrwJeV96QDX1bAa+Y\/58CXVIspB76kgNeszYwDX06tJhz4cgJes3bzDXwptZxu4Aup7WwDX0jAa9Z6soEvovZzDXwJdZhq4Auoy0wDn3+dJhr47Os2z8DnXsdpBj7zus4y8JkHvGadJzkYfjGqbp6cWz58jnafyLvucxwKv3qcrP+7Bz5JAVMcCr8Bn94dwFe7ut8r8qrHHbHXil83e\/ueFT90QRMcvI9fju\/rL7M3wA9b4BaVo\/pMC51d4PMseHKBz7EIB87AZ1iMmQU+v6JMLPC5Fen1EeAzK9asAp9X0SYV+JyK+DI48BkVc0aBz6eoEwp8NsWdT+BzKfJ0Ap9JsWcT+CyK\/64W4HOoh6kE3n69vIkNeOv19N5F4G3X21tWgbdcj+9UBt5wfc4g8Gbr94MJwFut5+kD3ma9fw4JeIsN8PEz4A02xMwBb65hPm0KvLGG+pAx8KYa7rPlwBtqyFMKAG+mYc8kAbyRhj6BCPAmGv68McAbKMXpgoBPXpqzRAGfuFQnBwM+aenOCQd8yhJOEfDpSnoKSOBTlfjMn8CnKfkJX\/3g5825aSdRhxbOwnl+feDn1V39ZfXYjj79gzOZBXXnBb\/87uvuj389O2Ft96E1s6Hu2McPmxl29vFDZoidffxgGdm1P8c+foisqTv28UNkT915wm\/W\/OoPbdY78LtszoPfil+M7ty0\/i1jEYcWyeRyd\/6b+nnbY3rgncl9+y5WfG8ZVnfs43vLtLrjqL6nrLMD30v22YGPn+1d+3PARy0TddcCfnYfeegCy0bdAR+xnNiBj1U+2\/ht7ONjlJu6Az5C2S32JuDDylPdAR9WruoO+ICyXexNwHcrb3Xn9567cbXpDT+d25a7uvNb8avH1s\/hPYbOtwLYfX8e\/7HlezB8hs607Lfx24L38YvRtd1AGRN0XCHqzm8f\/5vnP56\/r371OGm+zm+\/nv6vYuZoVymLvSn0kzTLh89HX10zP5ui3UkLFfd4vP739c\/Oiaz4wtRdhH389sleyfv40hZ7k9\/z+EkPQ2dSkerOc8Wv9+5Vdb4tDxs6iwpVd2029XO9V+7KZee1+uuVuo3fxidpLle2uuOzcxcrfLE38WnZ0xTUHSv+NA11xz7+KJHF3hT6Q5ruQ1tLSd2F\/5Cm+9C20lJ34T+k6T60ocQWexMv4Ogt9iZ5eE1236P6cZe32eYwo6rsvit+Wr\/NdnZ34d0W3Yc2kC6774pv3le1fPj0UNDTOcUjuoM8fx7frPjbLx9KWfHi6s774G66nqm75XgSceiEyas7xaN6FnuTGDzqu\/zgO73pzt4Uo76v1cFdO3lzs2zuDqWs1dO5rH8sy3I\/SmXFw36Sxj4e9rMEjuo5kr9U6fCoX8nvs3O5ngMH9auVvOJhf6Fy4WF\/sVLhYX+lMuFhf7Ui4WF\/vQLhWe4+lQbP83bPioJH3b+C4FFvUzHwsLerEHjY21YGPOytKwGe5d6hAuBh71L28Cz3bmUOD3vX8oaHvXM5w7PcA8oXHvagcoWHPbBM4WEPLUt4lnt4OcLDHqH84FnuUcoNHvZIZQYPe6yygme5xysneNgjlg88yz1qucDDHrlM4GGPXRbwLPf45QAPew9lAI97H9mHx72XzMPj3k\/W4XHvKdvwHM73lml42PsrGH4xqurfNnzhDMfBbLj3WCj86nHSnOO4B3jc+ywUfgM+vYsPj3uvxVjx62Zv30eGx73fgvfxy3F9Lns325\/ottrV4\/2i0Iwe1ePedzbhce+9OPCz++7fG\/U7yTeL8LgPkEF43IfI3j4e90EyB4\/7MFmDx32gjMHjPlS24HEfLFPwuA+XJXjcB8wQPO5DBrxoduBxHzTgRTMDj\/uwWYHHfeCMwOM+dMCLZgMe98EzAY\/78FmAxz1BwItmAB73FKWHxz1JwIuWHB73NKWGxz1RwIuWGB73VAEvWlp43JMFvGhJ4XFPF\/CipYTHPWHAi5YQHveUAS9aOnjckwa8aMngcU8b8KIBL1oqeNwTB7xowIuWCB731AEvWhp43JMHvGjAi5YEHvf0AS8a8KIBL1oKeNwNBLxowIsGvGjAi5YAHncLAS8a8KIBLxrwogEv2vDwuJsIeNHiwC\/ef\/b+XuBNFAq\/HFeb3pzRA2+54BW\/HK\/JWfHZFWFTvxzffgE+t6Ls4xejww19tStgROq7wY\/qgbcR8KLFgZ\/de38v8DYCXjTgRRt6H4+7kYAXDXjRgBcNeNGAFw140QaGx91KwIsGvGjAiwa8aMCLNiw87mYCXjTgRQNetASfliULAS8a8KIBLxrwogEvGvCiAS8a8KIBLxrwogEvGvCi9QlPlusPvr+h4g5m9o6lHAx40cGAFx0MeNHBgBcdDHjRwYAXHYwXYUQDXjTgRQNeNOBFA1404EUDXjTgRQNetAjwy3F1+\/XkUoTBFqOqmkQay7nVY9hYB4OtHqubp1iDrR\/l+W9ybNvutwK2mf9w+HpKZ3fHlyIMtvz45Ba\/CJngo7szC\/xHdDDYdOLmYf++jx\/lLHSxzLf\/dlrNfzj88mH3iyj3lyIMNq8fwXqOY4y1XhO\/\/DZkqNNHGdh+sMWHr8EDTm\/+uHmUreY\/HL657x+fji5FGKwubLCDsVY\/\/PlxEnK\/jh7lj6Gb+v1gUVb8TrvV\/IfD15u9zV+3vxRhMFdvui79CqQuY83uQ\/fx+8EWo0kzxXHuWYTDomf4VvNveMUvx0Hux3csFL6nR1kfxcyDj+7SrPie9vHNyop0x2bN+8yD\/hkdPMrvguEPjmTCN5LuGX7gfXy9Qd4d1d+HH9Xvhgh2P747oSv+YLBp8Kb+4FHGXPGt5j\/a8\/j6L4\/2PH492GaVTuLcsWjP47ePMpRqP9i8Cn5RYAPfdv555U404EUDXjTgRQNeNOBFA1404EUDXjTgRQNeNOBFA1404EUDXjTgRQNeNOBFA1404EUDXjTgRQN+0zT4IwGZBfym5cOn8E\/B5hTw22ZhH7HKLuC3hZ2EIb+A3zb9tdQuHvhtiw\/\/+UFqyQPfVH+mMvDENpkFvGjAiwa8aMCLBrxowIsGvGjAiwa8aMCLBrxowIsGvGjAiwa8aMCLBrxowIv2f3xyE2pAvIMDAAAAAElFTkSuQmCC\" alt=\"plot of chunk unnamed-chunk-3\" \/><\/p>\n<h4>\uc2b9\uc0b0\ube44(odds ratio)<\/h4>\n<p>\ub450 \uc0ac\uac74\uc758 \ud655\ub960\uc744 \ube44\uad50\ud560 \ub54c, \ub2e8\uc21c\ud788 \ud655\ub960\uc758 \ucc28\uc774\ub294 \ud655\ub960\uc744 \ud2b9\uc131\uc744 \uc81c\ub300\ub85c \ubc18\uc601\ud558\uc9c0 \ubabb\ud569\ub2c8\ub2e4.<\/p>\n<p>\ud655\ub960\uc758 \ud2b9\uc131\uc774 \ubb34\uc5c7\uc77c\uae4c\uc694? 0\uc5d0\uc11c 1\uae4c\uc9c0\ub85c \ubc94\uc704\uac00 \ud55c\uc815\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\ud655\ub960\uc774 0.9\uc778 \uacbd\uc6b0\uc5d0 0.01\ub97c \uc99d\uac00\uc2dc\ud0a4\ub294 \uac83\uc740, \ud655\ub960\uc774 0.5\uc778 \uacbd\uc6b0\uc5d0 0.01\uc744 \uc99d\uac00\uc2dc\ud0a4\ub294 \uac83\uc5d0 \ube44\ud574 \uba87 \ubc30\uac00 \ub354 \ud070 \ub178\ub825\uc774 \ub4e4\uc5b4\uac08 \uac83\uc774 \ubd84\uba85\ud569\ub2c8\ub2e4.<\/p>\n<p>\uc2b9\uc0b0\ube44\ub294 \ub450 \uc2b9\uc0b0\uc758 \ube44\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/p>\n<p>\uc704\uc758 \uc608\uc5d0\uc11c \uc2b9\uc0b0\ube44\ub97c \uad6c\ud574\ubd05\uc2dc\ub2e4. \ud655\ub960\uc774 0.91\uacfc 0.9\uc758 \uc2b9\uc0b0\ube44\ub294<\/p>\n<pre><code class=\"r\">(0.91\/(1-0.91))\/(0.9\/(1-0.9))\r\n<\/code><\/pre>\n<pre>## [1] 1.123457\r\n<\/pre>\n<pre><code class=\"r\">(0.51\/(1-0.51))\/(0.5\/(1-0.5))\r\n<\/code><\/pre>\n<pre>## [1] 1.040816\r\n<\/pre>\n<p>0.9\uc640 0.91\uc758 \ucc28\uc774\ub294 \uc2b9\uc0b0\uc73c\ub85c \uc598\uae30\ud574\ubcf4\uc790\uba74, \ud55c \ubc88 \uc9c8 \ub54c 0.91\uc758 \ud655\ub960\uc740 0.9\uc758 \ud655\ub960\ubcf4\ub2e4 1.12\ubc30 \ub354 \ub9ce\uc774 \uc774\uae41\ub2c8\ub2e4.<br \/>\n\ubc18\uba74 \uc2b9\ub960 0.51\uc740 \uc2b9\ub960 0.5\ubcf4\ub2e4 1.04\ubc30 \ub354 \ub9ce\uc774 \uc774\uae41\ub2c8\ub2e4(\ud55c \ubc88 \uc9c8 \ub54c\ub9c8\ub2e4).<\/p>\n<p>\ub2e4\uc74c \uadf8\ub798\ud504\ub294 \ud655\ub960 \ucc28\uc640 \uc2b9\uc0b0\ube44\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/p>\n<pre><code class=\"r\">p1 = seq(0.05,0.95, 0.1)\r\np2 = seq(0.05,0.95, 0.1)\r\ndat &lt;- expand.grid(p1 = p1, p2 = p2)\r\ndat &lt;- dat %&gt;% \r\n  mutate(diffp = round(p2 - p1, 2)) %&gt;%\r\n  mutate(oddsratio = p2\/(1-p2)\/(p1\/(1-p1))) %&gt;%\r\n  mutate(logor = log(oddsratio))\r\nggplot(data = dat) + \r\n  geom_tile(aes(x=p1, y=p2, fill=diffp)) + \r\n  labs(title = 'probability difference') + \r\n  coord_fixed(ratio=1)\r\n<\/code><\/pre>\n<p><img src=\"data:image\/png;base64,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\" alt=\"plot of chunk unnamed-chunk-6\" \/><\/p>\n<pre><code class=\"r\">dat %&gt;% filter(oddsratio &gt; 0.01 &amp; oddsratio &lt; 99) %&gt;% \r\n  ggplot() + \r\n  geom_tile(aes(x=p1, y=p2, fill=oddsratio)) + \r\n  labs(title = 'odds ratio') + \r\n  coord_fixed(ratio=1)\r\n<\/code><\/pre>\n<p><img src=\"data:image\/png;base64,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\" alt=\"plot of chunk unnamed-chunk-6\" \/><\/p>\n<pre><code class=\"r\">dat %&gt;% \r\n  #filter(p2&gt;p1) %&gt;%\r\n  ggplot() + \r\n  geom_tile(aes(x=p1, y=p2, fill=logor)) + \r\n  labs(title = 'log(odds ratio)') + \r\n  coord_fixed(ratio=1)\r\n<\/code><\/pre>\n<p><img src=\"data:image\/png;base64,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\" alt=\"plot of chunk unnamed-chunk-6\" \/><\/p>\n<p>\uc2b9\uc0b0\uc774 \uc9c0\ub294 \ud69f\uc218\uc640 \uc774\uae30\ub294 \ud69f\uc218\uc758 \ube44\ub97c \ub098\ud0c0\ub0b8\ub2e4\uba74, \uc2b9\uc0b0\ube44\ub294 \ub450 \uc2b9\uc0b0\uc758 \ube44\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/p>\n<p>\uc27d\uac8c \uc598\uae30\ud574\uc11c \uc2b9\uc0b0\uc774 \uc5b4\ub5a4 \ub3c4\ubc15\uc5d0\uc11c \ud55c \ubc88 \uc783\uc744 \ub54c \uba87 \ubc88 \ub530\ub294\uac00\ub97c \ubb3b\ub294\ub2e4\uba74, \uc2b9\uc0b0\ube44\ub294 \uc11c\ub85c \ub2e4\ub978 \ub450 \ub3c4\ubc15\uc5d0\uc11c \uc2b9\uc0b0\uc758 \ube44\ub97c \ub098\ud0c0\ub0b8\ub2e4\uace0 \ud560 \uc218 \uc788\uaca0\uc8e0.<\/p>\n<p>\uc608\ub97c \ub4e4\uc5b4 \ube14\ub799\uc7ad\uc740 \uc2b9\uc0b0\uc774 3\uc774\uace0, \uc9e4\uc9e4\uc774\ub294 \uc2b9\uc0b0\uc774 2\ub77c\uba74, \uc774 \ub458\uc758 \ube44 3\/2=1.5\uac00 \uc2b9\uc0b0\ube44\uac00 \ub429\ub2c8\ub2e4.<\/p>\n<p>\uc9c1\uad00\uc801\uc73c\ub85c \ube48\ub3c4\ub85c \uc0dd\uac01\ud574\ubcf4\uc790\uba74,<\/p>\n<ul>\n<li>\ud655\ub960 : 1\ubc88 \ud574\uc11c \uba87 \ubc88 \uc774\uae30\ub294\uac00?<\/li>\n<li>\uc2b9\uc0b0 : 1\ubc88 <strong>\uc9c8 \ub54c<\/strong> \uba87 \ubc88 \uc774\uae30\ub294\uac00?<\/li>\n<li>\ud655\ub960\ucc28 : 1\ubc88 \ud560 \ub54c, \uba87 <strong>\ubc88<\/strong> \ub354 \uc774\uae30\ub294\uac00?<\/li>\n<li>\ud655\ub960\ube44 : 1\ubc88 \ud560 \ub54c, \uba87 <strong>\ubc30<\/strong> \ub354 \uc774\uae30\ub294\uac00?<\/li>\n<li>\uc2b9\uc0b0\ube44 : 1\ubc88 <strong>\uc9c8 \ub54c<\/strong>, \uba87 <strong>\ubc30<\/strong> \ub354 \uc774\uae30\ub294\uac00?<\/li>\n<\/ul>\n<h4>\ub85c\uc9c0\uc2a4\ud2f1(logistic) \ud568\uc218(\ub85c\uc9d3\uc758 \uc5ed\ud568\uc218) : \\(\\frac{1}{1+\\exp(-x)}\\)<\/h4>\n<pre><code class=\"r\">library(arm)\r\ncurve(invlogit(x), xlim=c(-5,5), main='invlogit or logistic')\r\n<\/code><\/pre>\n<p><img src=\"data:image\/png;base64,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\" alt=\"plot of chunk unnamed-chunk-7\" \/><\/p>\n<h3>\uadf8\ub7f0\ub370 \uc65c \ub85c\uc9c0\uc2a4\ud2f1\uc778\uac00?<\/h3>\n<p>\ub85c\uc9c0\uc2a4\ud2f1 \ud568\uc218\ub294 <a href=\"https:\/\/brilliant.org\/wiki\/logistic-differential-equations\/\">\ub85c\uc9c0\uc2a4\ud2f1 \ubbf8\ubd84 \ubc29\uc815\uc2dd\uc758 \ud574<\/a>\uc785\ub2c8\ub2e4.<\/p>\n<p>\ub9cc\uc57d \uc785\ub825 \ubcc0\uc218\ub97c \uc2dc\uac04 \\(t\\) \ub85c \uc0dd\uac01\ud55c\ub2e4\uba74, \uc778\uad6c\uc758 \uc99d\uac00\ub294 \ud604\uc7ac \uc778\uad6c\uc5d0 \ube44\ub840\ud558\uc9c0\ub9cc, \uc778\uad6c\ub294 \ubb34\ud55c\uc815 \uc99d\uac00\ud560 \uc218 \uc5c6\uace0 \uc2dc\uc2a4\ud15c\uc774 \uc218\uc6a9\uac00\ub2a5\ud55c \ucd5c\ub300\uac12\uc5d0 \uc758\ud574 \uc81c\ud55c\ub418\ub294 \uacbd\uc6b0\ub85c \uc0dd\uac01\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0\uc740 \uc65c \uc120\ud615 \ubaa8\ud615\uc778\uac00? \uc778\ud130\ub137\uc744 \uac80\uc0c9\ud558\ub2e4 \ubcf4\uba74 \uc798\ubabb\ub41c \uc815\ubcf4\uac00 \uadf8\ub300\ub85c \uc720\ud1b5\ub418\ub294 \uacbd\uc6b0\ub97c \uc2ec\uc2ec\uce58 \uc54a\uac8c \ubc1c\uacac\ub418\uace4 \ud55c\ub2e4. (\uc0ac\uc2e4 \ub300\uc911\uc801\uc73c\ub85c \uc720\uba85\ud55c \ubc1c\ud45c\uc790\ub098 \ud559\uacc4\uc5d0\uc11c \uc720\uba85\ud55c \ud559\uc790\uc758 \uac15\uc758\uc5d0\uc11c\ub3c4 \uc798\ubabb\ub41c \uc815\ubcf4\ub97c \ubc1c\uacac\ud558\ub294 \uacbd\uc6b0\uac00 \ub9ce\ub2e4. \uac1c\uc778\uc801\uc778 \uacbd\ud5d8\uc73c\ub85c \ud3c9\uade0 3\uac1c \uc815\ub3c4\uc758 \uc624\ub958\uac00 \ubc1c\uacac\ub41c\ub2e4. \ubb3c\ub860 \uc81c \uae00\uc5d0\ub294 \uadf8\ubcf4\ub2e4 \ub9ce\uc740 \uc218\uc758 \uc624\ub958\uac00 \uc874\uc7ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \u3160) \uc778\ud130\ub137\uc758 \ud55c \ube14\ub85c\uadf8\uc5d0\uc11c\ub294 \ub85c\uc9c0\uc2a4\ud2f1\uc774 \ud68c\uadc0\uac00 \uc120\ud615\uc778 \uac83\uc740 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2241,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[28,146],"tags":[472,473,471,408],"jetpack_featured_media_url":"http:\/\/ds.sumeun.org\/wp-content\/uploads\/2020\/09\/logisticRegression.png","_links":{"self":[{"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/posts\/2237"}],"collection":[{"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2237"}],"version-history":[{"count":4,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/posts\/2237\/revisions"}],"predecessor-version":[{"id":2242,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/posts\/2237\/revisions\/2242"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=\/wp\/v2\/media\/2241"}],"wp:attachment":[{"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2237"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2237"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/ds.sumeun.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2237"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}