{"id":1543,"date":"2023-07-25T23:11:24","date_gmt":"2023-07-25T23:11:24","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e8%a4%aa%e8%89%b2%e5%a5%a5%e7%89%b9%e6%9b%bc%e6%83%85%e8%8a%82%e8%9f%92%e8%9b%87\/"},"modified":"2023-07-25T23:11:24","modified_gmt":"2023-07-25T23:11:24","slug":"%e8%a4%aa%e8%89%b2%e5%a5%a5%e7%89%b9%e6%9b%bc%e6%83%85%e8%8a%82%e8%9f%92%e8%9b%87","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e8%a4%aa%e8%89%b2%e5%a5%a5%e7%89%b9%e6%9b%bc%e6%83%85%e8%8a%82%e8%9f%92%e8%9b%87\/","title":{"rendered":"\u5982\u4f55\u7528 python \u521b\u5efa bland-altman \u56fe"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/cn\/\u8ddf\u8e2a\u5965\u7279\u66fc\u892a\u8272\/\" target=\"_blank\" rel=\"noopener\">Bland-Altman \u56fe<\/a>\u7528\u4e8e\u53ef\u89c6\u5316\u4e24\u79cd\u4e0d\u540c\u4eea\u5668\u6216\u4e24\u79cd\u4e0d\u540c\u6d4b\u91cf\u6280\u672f\u4e4b\u95f4\u7684\u6d4b\u91cf\u5dee\u5f02\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5b83\u5bf9\u4e8e\u786e\u5b9a\u4e24\u79cd\u4eea\u5668\u6216\u6280\u672f\u5728\u6d4b\u91cf\u540c\u4e00\u6982\u5ff5\u65f6\u7684\u76f8\u4f3c\u7a0b\u5ea6\u975e\u5e38\u6709\u7528\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u63d0\u4f9b\u4e86\u5982\u4f55\u5728 Python \u4e2d\u521b\u5efa Bland-Altman \u56fe\u7684\u5206\u6b65\u793a\u4f8b\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u7b2c 1 \u6b65\uff1a\u521b\u5efa\u6570\u636e<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u751f\u7269\u5b66\u5bb6\u4f7f\u7528\u4e24\u79cd\u4e0d\u540c\u7684\u4eea\u5668\uff08A \u548c B\uff09\u6d4b\u91cf\u540c\u4e00\u7ec4 20 \u53ea\u4e0d\u540c\u9752\u86d9\u7684\u91cd\u91cf\uff08\u4ee5\u514b\u4e3a\u5355\u4f4d\uff09\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u5c06\u521b\u5efa\u4ee5\u4e0b\u6570\u636e\u6846\uff0c\u4ee3\u8868\u6bcf\u53f0\u4eea\u5668\u6d4b\u91cf\u7684\u6bcf\u53ea\u9752\u86d9\u7684\u91cd\u91cf\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">A<\/span> ': [5, 5, 5, 6, 6, 7, 7, 7, 8, 8, 9,\n                         10, 11, 13, 14, 14, 15, 18, 22, 25],\n                   ' <span style=\"color: #ff0000;\">B<\/span> ': [4, 4, 5, 5, 5, 7, 8, 6, 9, 7, 7, 11,\n                         13, 13, 12, 13, 14, 19, 19, 24]})\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u7b2c 2 \u6b65\uff1a\u521b\u5efa Bland-Altman \u56fe<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 statsmodels \u5305\u4e2d\u7684<strong>Mean_diff_plot()<\/strong>\u51fd\u6570\u6765\u521b\u5efa Bland-Altman \u56fe\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> statsmodels. <span style=\"color: #3366ff;\">api<\/span> <span style=\"color: #008000;\">as<\/span> sm\n<span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\n<span style=\"color: #008080;\">#create Bland-Altman plot                  \n<\/span>f, ax = plt. <span style=\"color: #3366ff;\">subplots<\/span> (1,figsize=(8,5))\nsm. <span style=\"color: #3366ff;\">graphics<\/span> . <span style=\"color: #3366ff;\">mean_diff_plot<\/span> (df.A, df.B, ax = ax)\n\n<span style=\"color: #008080;\">#display Bland-Altman plot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15310 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/fadepython1.png\" alt=\"Python \u4e2d\u7684 Bland-Altman \u56fe\" width=\"516\" height=\"322\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u7ed8\u56fe\u7684 x \u8f74\u663e\u793a\u4e24\u53f0\u4eea\u5668\u7684\u5e73\u5747\u6d4b\u91cf\u503c\uff0cy \u8f74\u663e\u793a\u4e24\u53f0\u4eea\u5668\u4e4b\u95f4\u7684\u6d4b\u91cf\u503c\u5dee\u5f02\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u9ed1\u8272\u5b9e\u7ebf\u4ee3\u8868\u4e24\u53f0\u4eea\u5668\u4e4b\u95f4\u6d4b\u91cf\u503c\u7684\u5e73\u5747\u5dee\u5f02\uff0c\u800c\u4e24\u6761\u865a\u7ebf\u4ee3\u8868\u5e73\u5747\u5dee\u5f02\u7684 95% \u7f6e\u4fe1\u533a\u95f4\u7684\u9650\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5e73\u5747\u5dee\u503c\u4e3a<strong>0.5<\/strong> \uff0c\u5e73\u5747\u5dee\u503c\u7684 95% \u7f6e\u4fe1\u533a\u95f4\u4e3a<strong>[-1.86, 2.86]<\/strong> \u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bland-Altman \u56fe\u7528\u4e8e\u53ef\u89c6\u5316\u4e24\u79cd\u4e0d\u540c\u4eea\u5668\u6216\u4e24\u79cd\u4e0d\u540c\u6d4b\u91cf\u6280\u672f\u4e4b\u95f4\u7684\u6d4b\u91cf\u5dee\u5f02\u3002 \u5b83\u5bf9\u4e8e\u786e\u5b9a\u4e24\u79cd\u4eea\u5668\u6216\u6280\u672f [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1543","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u7528 Python 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