{"id":520,"date":"2018-08-10T20:46:36","date_gmt":"2018-08-10T11:46:36","guid":{"rendered":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/how-to-determine-sample-size-in-cross-over-trial\/"},"modified":"2024-12-30T16:19:24","modified_gmt":"2024-12-30T07:19:24","slug":"how-to-determine-sample-size-in-cross-over-trial","status":"publish","type":"post","link":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/how-to-determine-sample-size-in-cross-over-trial\/","title":{"rendered":"R \u3067\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"\n<p>\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u3092 R \u3067\u884c\u3046\u65b9\u6cd5<\/p>\n\n\n\n<!--more-->\n\n\n\n<h2 class=\"wp-block-heading\" id=\"\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u3068\u306f\">\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u3068\u306f<\/h2>\n\n\n\n<p>\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u3068\u306f\u3001\u4e8c\u7fa4\u3069\u3061\u3089\u306b\u3082\u4e8c\u3064\u306e\u4ecb\u5165\u3092\u53d7\u3051\u3066\u3082\u3089\u3046\u8a66\u9a13\u3002<\/p>\n\n\n\n<p>\u5f93\u6765\u306e\u85ac\u3068\u65b0\u85ac\u3068\u304b\u3001\u65b9\u6cd5A\u3068\u65b9\u6cd5B\u3068\u304b\u3001\u4e8c\u3064\u306e\u65b9\u6cd5\u3092\u9806\u756a\u3092\u5909\u3048\u3066\u53d7\u3051\u3066\u3082\u3089\u3046\u3002<\/p>\n\n\n\n<p>\u5229\u70b9\u306f\u3001\u5c0f\u3055\u3044\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3067\u3001\u4fe1\u983c\u6027\u306e\u9ad8\u3044\u30c7\u30fc\u30bf\u304c\u53d6\u308c\u308b\u3053\u3068\u3002<\/p>\n\n\n\n<p>\u305f\u3060\u3057\u3001\u4e00\u500b\u76ee\u306e\u5f71\u97ff\u304c\u306a\u304f\u306a\u308b\u307e\u3067\u306e\u30a6\u30a9\u30c3\u30b7\u30e5\u30a2\u30a6\u30c8\u671f\u9593\u3092\u3069\u3046\u3059\u308b\u304b\uff1f\u3068\u3044\u3046\u554f\u984c\u304c\u4ed8\u304d\u307e\u3068\u3046<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u524d\u306b\u4e26\u884c\u7fa4\u9593\u6bd4\u8f03\u8a66\u9a13\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306f\">\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u524d\u306b\u4e26\u884c\u7fa4\u9593\u6bd4\u8f03\u8a66\u9a13\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306f\uff1f<\/h2>\n\n\n\n<p>\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u524d\u306b\u3001\u307e\u305a\u4e26\u884c\u7fa4\u9593\u6bd4\u8f03\u8a66\u9a13\u306e\u5834\u5408\u3002<\/p>\n\n\n\n<p>R \u3067\u8a08\u7b97\u3057\u3066\u307f\u308b\u3002<\/p>\n\n\n\n<p>delta\u309210\/25\uff1d0.4, \u691c\u51fa\u529b\u309280%\u3068\u3059\u308b\u3068\u3001\u4e00\u7fa4100\u4f8b\u5fc5\u8981\u3068\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n<p>delta\uff08\u307e\u305f\u306fd=\u6a19\u6e96\u5316\u3055\u308c\u305f\u5dee\uff09\u306f\u3069\u3046\u6c7a\u3081\u308c\u3070\u3044\u3044\u304b\uff1f\u306f\u4ee5\u4e0b\u53c2\u7167\u3002<\/p>\n\n\n<div class=\"swell-block-postLink\">\t\t\t<div class=\"p-blogCard -internal\" data-type=\"type1\" data-onclick=\"clickLink\">\n\t\t\t\t<div class=\"p-blogCard__inner\">\n\t\t\t\t\t<span class=\"p-blogCard__caption\">\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t<div class=\"p-blogCard__thumb c-postThumb\"><figure class=\"c-postThumb__figure\"><img decoding=\"async\" src=\"https:\/\/best-biostatistics.com\/toukei-er\/wp-content\/uploads\/2024\/08\/1920x1080-video-Excel-300x169.jpg\" alt=\"\" class=\"c-postThumb__img u-obf-cover\" width=\"320\" height=\"180\"><\/figure><\/div>\t\t\t\t\t<div class=\"p-blogCard__body\">\n\t\t\t\t\t\t<a class=\"p-blogCard__title\" href=\"https:\/\/best-biostatistics.com\/toukei-er\/entry\/how-to-determine-sample-size-in-t-test\/\">R \u3067 t \u691c\u5b9a\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u6570\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a>\n\t\t\t\t\t\t<span class=\"p-blogCard__excerpt\">t \u691c\u5b9a\u306e\u30b5\u30f3\u30d7\u30eb\u6570\u8a08\u7b97\u306e\u65b9\u6cd5 t \u691c\u5b9a\u306e\u30b5\u30f3\u30d7\u30eb\u6570\u8a08\u7b97\uff081:1\u306e\u5834\u5408\uff09 R \u306e power.t.test()\u3092\u7528\u3044\u308b\u3002 \u5fc5\u8981\u306a\u60c5\u5831\u306f\u3001\u691c\u51fa\u529b\u3092\u3069\u3046\u3059\u308b\u304b\u3068\u3001\u4e8c\u7fa4\u306e\u5e73\u5747\u5024\u306e\u5dee\u3002 \u6a19\u6e96\u504f&#8230;<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; power.t.test(delta=10\/25, power=.8)\n\n     Two-sample t test power calculation \n\n              n = 99.08057\n          delta = 0.4\n             sd = 1\n      sig.level = 0.05\n          power = 0.8\n    alternative = two.sided\n\nNOTE: n is number in *each* group<\/code><\/pre>\n\n\n\n<p>\u81ea\u4f5c\u95a2\u6570\u3060\u3068\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u306a\u308b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>t.test.samplesize &lt;- function(sig.level=0.05, power=0.8,\n                              delta, sd=1, alternative=c(\"two.sided\",\"one.sided\"))\n{\n  alternative &lt;- match.arg(alternative)\n  tside &lt;- switch(alternative, one.sided=1, two.sided=2)\n  Za &lt;- qnorm(sig.level\/tside, lower.tail=FALSE)\n  Zb &lt;- qnorm(power)\n  n &lt;- 2*((Za+Zb)\/(delta\/sd))^2\n  NOTE &lt;- \"n is number in *each* group\"\n  METHOD &lt;- \"t-test sample size\"\n  structure(list(n=n,delta=delta, sd=sd,\n                 sig.level=sig.level, power=power,\n                 alternative=alternative, note=NOTE, method=METHOD),\n            class=\"power.htest\")\n}\n<\/code><\/pre>\n\n\n\n<p>R \u306e\u95a2\u6570\u306e\u3088\u3046\u306b\u975e\u5fc3t\u5206\u5e03\u3092\u4f7f\u3063\u3066\u3044\u306a\u3044\u305f\u3081\u306b\u3001\u5fc5\u8981\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u82e5\u5e72\u5c0f\u3055\u3044\u3002<\/p>\n\n\n\n<p>\u3068\u8a00\u3063\u3066\u3082100\u4f8b\u304c99\u4f8b\u306b\u306a\u3063\u305f\u3060\u3051\u306a\u306e\u3067\u3001\u5927\u304d\u306a\u30a4\u30f3\u30d1\u30af\u30c8\u3067\u306f\u306a\u3044\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; t.test.samplesize(delta=10\/25)\n\n     t-test sample size \n\n              n = 98.111\n          delta = 0.4\n             sd = 1\n      sig.level = 0.05\n          power = 0.8\n    alternative = two.sided\n\nNOTE: n is number in *each* group<\/code><\/pre>\n\n\n\n<div id=\"biost-1099648288\" class=\"biost- biost-entity-placement\"><p style=\"text-align: center;\"><span style=\"font-size: 20px;\"><strong><a href=\"https:\/\/best-biostatistics.com\/kmhl\">\uff1e\uff1e\u3082\u3046\u7d71\u8a08\u3067\u60a9\u3080\u306e\u306f\u7d42\u308f\u308a\u306b\u3057\u307e\u305b\u3093\u304b\uff1f\u00a0<\/a><\/strong><\/span><\/p>\r\n<a href=\"https:\/\/best-biostatistics.com\/kmhl\"><img class=\"aligncenter wp-image-2794 size-full\" src=\"https:\/\/best-biostatistics.com\/wp\/wp-content\/uploads\/2023\/11\/bn_r_03.png\" alt=\"\" width=\"500\" height=\"327\" \/><\/a>\r\n<p style=\"text-align: center;\"><span style=\"color: #ff0000; font-size: 20px;\"><strong><span class=\"marker2\">\u21911\u4e07\u4eba\u4ee5\u4e0a\u306e\u533b\u7642\u5f93\u4e8b\u8005\u304c\u8cfc\u8aad\u4e2d<\/span><\/strong><\/span><\/p><\/div><h2 class=\"wp-block-heading\" id=\"\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306f\">\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306f\uff1f<\/h2>\n\n\n\n<p>\u5fc5\u8981\u306a\u6761\u4ef6\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>delta: effect size<\/li>\n\n\n\n<li>sigma: \u6a19\u6e96\u504f\u5dee<\/li>\n\n\n\n<li>theta: \u500b\u4eba\u5dee\u6307\u6570\uff08\u500b\u4eba\u9593\u5206\u6563\u3068\u500b\u4eba\u5185\u5206\u6563\u306e\u6bd4\u3002\u901a\u5e381\u3088\u308a\u5927\u304d\u3044\u306f\u305a\u3002\uff09<\/li>\n\n\n\n<li>sigma.w: \u500b\u4eba\u5185\u6a19\u6e96\u504f\u5dee<\/li>\n\n\n\n<li>rep.level: \u7e70\u308a\u8fd4\u3057\u8a08\u7b97\u3092\u884c\u3046\u6761\u4ef6\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u8a08\u7b97\u7d50\u679c\u306e\u5dee\u306e\u5272\u5408\u304c10<sup>-8<\/sup>\u672a\u6e80\u306b\u306a\u308b\u307e\u3067\u7e70\u308a\u8fd4\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u4ee5\u4e0b\u304c R \u30b9\u30af\u30ea\u30d7\u30c8\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>samplesize.cross &lt;- function(sig.level=0.05, power=0.8,\n                             delta, sigma, theta, rep.level=10^-8,\n                             alternative=c(\"two.sided\", \"one.sided\"))\n{\n  alternative &lt;- match.arg(alternative)\n  tside &lt;- switch(alternative, one.sided=1, two.sided=2)\n  p.t.t &lt;- power.t.test(power=power, delta=delta\/sigma)\n  np &lt;- p.t.t$n\n  nc &lt;- np\/(2*(1+theta**2))\n  nc.approx &lt;- nc\n  sigma.w &lt;- sqrt(sigma**2\/(1+theta**2))\n  nc0 &lt;- nc\n  nc1 &lt;- nc+5\n  yy &lt;- matrix(0,8,1)\n  i &lt;- 0\n  diff &lt;- abs(nc1-nc0)\/nc0\n  while (diff &gt; rep.level){\n    i &lt;- i+1\n    nc &lt;- nc0\n    ta &lt;- qt(p=1-sig.level\/tside, df=2*nc-2)\n    tb &lt;- qt(p=power, df=2*nc-2)\n    nc &lt;- ((ta+tb)\/(delta\/sigma.w))**2\n    nc1 &lt;- nc\n    diff &lt;- abs(nc1-nc0)\/nc0\n    yy&#91;i,1] &lt;- nc1\n    nc.exact &lt;- nc1\n    nc0 &lt;- nc1\n  }\n  NOTE &lt;- \"n is number in *each* group\"\n  METHOD &lt;- \"t-test sample size for cross-over trial design\"\n  structure(list(\"n(parllel)\"=np, \"n(cross-over)\"=nc.approx,\n                 \"n(cross-over exact)\"=nc.exact, delta=delta,\n                 sigma=sigma, sig.level=sig.level, power=power,\n                 alternative=alternative, note=NOTE,\n                 method=METHOD),\n            class=\"power.htest\")\n}\n<\/code><\/pre>\n\n\n\n<p>\u6709\u610f\u6c34\u6e965%\u3001\u691c\u51fa\u529b80%\u3001\u5dee\u304c10\u3001\u6a19\u6e96\u504f\u5dee\u304c25 \u3068\u3044\u3046\u306e\u306f\u5148\u307b\u3069\u306e\u4e26\u884c\u7fa4\u9593\u6bd4\u8f03\u8a66\u9a13\u3068\u540c\u3058\u6761\u4ef6\u3002<\/p>\n\n\n\n<p>\u500b\u4eba\u5dee\u6307\u6570\u30921.5\uff08\u3064\u307e\u308a\u500b\u4eba\u5dee\u5909\u52d5\u304c\u500b\u4eba\u5185\u5909\u52d5\u3088\u308a1.5\u500d\u5927\u304d\u3044\uff09\u3068\u898b\u7a4d\u3082\u308b\u3068\u3001\u5fc5\u8981\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306f\u4e00\u7fa417\u4f8b\u3068\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n<p>\u4e26\u884c\u7fa4\u9593\u3060\u3068\u4e00\u7fa4100\u4f8b\u3060\u3063\u305f\u306e\u3067\u3001\u7d041\/5\u306b\u7bc0\u7d04\u3067\u304d\u308b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; samplesize.cross(delta=10, sigma=25, theta=1.5)\n\n     t-test sample size for cross-over trial design \n\n         n(parllel) = 99.08057\n      n(cross-over) = 15.24316\nn(cross-over exact) = 16.12026\n              delta = 10\n              sigma = 25\n          sig.level = 0.05\n              power = 0.8\n        alternative = two.sided\n\nNOTE: n is number in *each* group<\/code><\/pre>\n\n\n\n<p>\u500b\u4eba\u5dee\u6307\u6570\u30921\u3068\u3057\u3066\u3001\u500b\u4eba\u5185\u5909\u52d5\u304c\u7d50\u69cb\u5927\u304d\u3044\u3068\u60f3\u5b9a\u3057\u3066\u898b\u7a4d\u3082\u308b\u3068\u3001\u5fc5\u8981\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306f\u4e00\u7fa426\u4f8b\u3068\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n<p>100\u4f8b\u5fc5\u8981\u3060\u3063\u305f\u3068\u3053\u308d\u3001\u7d041\/4\u306b\u6e1b\u3089\u305b\u308b\u306e\u306f\u52b9\u7387\u304c\u3044\u3044\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; samplesize.cross(delta=10, sigma=25, theta=1)\n\n     t-test sample size for cross-over trial design \n\n         n(parllel) = 99.08057\n      n(cross-over) = 24.77014\nn(cross-over exact) = 25.53465\n              delta = 10\n              sigma = 25\n          sig.level = 0.05\n              power = 0.8\n        alternative = two.sided\n\nNOTE: n is number in *each* group<\/code><\/pre>\n\n\n\n<p>\u500b\u4eba\u5dee\u6307\u6570 theta \u306f\u5148\u884c\u7814\u7a76\u3067\u308f\u304b\u308c\u3070\u554f\u984c\u306a\u3044\u304c\u3001\u96e3\u3057\u3044\u304b\u3082\u3057\u308c\u306a\u3044\u3002<\/p>\n\n\n\n<p>\u308f\u304b\u3089\u306a\u3044\u5834\u5408\u306f\u30011\u3067\u8a08\u7b97\u3059\u308c\u3070\u3001\u63a7\u3048\u3081\u3067\u7121\u96e3\u3060\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u3092\u30a8\u30af\u30bb\u30eb\u3067\">\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u3092\u30a8\u30af\u30bb\u30eb\u3067<\/h2>\n\n\n\n<p>\u4e26\u884c\u7fa4\u9593\u8a66\u9a13\u3001\u3064\u307e\u308a\u5e73\u5747\u5024\u306e\u5dee\u306e\u691c\u5b9a\u7528\u306e\u7c21\u6613\u7684\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u5f0f\u3092\u6d3b\u7528\u3057\u3066\u3001\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u4f5c\u6210\u3057\u305f\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>samplesize.cross.approx &lt;- function(sig.level=0.05, power=0.8,\n                                    delta, sigma, theta, alternative=c(\"two.sided\", \"one.sided\"))\n{\n  alternative &lt;- match.arg(alternative)\n  tside &lt;- switch(alternative, one.sided=1, two.sided=2)\n  Za &lt;- qnorm(1-sig.level\/tside)\n  Zb &lt;- qnorm(power)\n  np &lt;- 2*((Za+Zb)\/(delta\/sigma))^2\n  nc.approx &lt;- np\/(2*(1+theta**2))\n  NOTE &lt;- \"n is number in *each* group\"\n  METHOD &lt;- \"t-test sample size for cross-over trial design\"\n  structure(list(\"n(parllel)\"=np, \"n(cross-over)\"=nc.approx,\n                 delta=delta, sigma=sigma, sig.level=sig.level, power=power,\n                 alternative=alternative, note=NOTE,  method=METHOD),\n            class=\"power.htest\")\n}\n<\/code><\/pre>\n\n\n\n<p>\u4e26\u884c\u7fa4\u9593\u8a66\u9a13\u306e n \u306f\u7c21\u6613\u7684\u306a\u65b9\u6cd5\u3067\u306f98.11\u3001\u305d\u306e\u7d50\u679c\u3092\u7528\u3044\u305f\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u7c21\u6613\u7684\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306f24.53\u3067\u3001\u3088\u308a\u6b63\u78ba\u306a\u65b9\u6cd5\u306b\u3088\u308b\u4e0a\u8a18\u306e24.77\u30681 \u306f\u9055\u308f\u306a\u3044\u3002<\/p>\n\n\n\n<p>\u4e38\u3081\u308b\u306825\u4f8b\u3002<\/p>\n\n\n\n<p>\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u6b63\u78ba\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306f25.53\u306a\u306e\u3067\u3001\u307e\u308b\u3081\u308b\u306826\u4f8b\u3067\u9055\u3044\u306f1\u4f8b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; samplesize.cross.approx(delta=10, sigma=25, theta=1)\n\n     t-test sample size for cross-over trial design \n\n     n(parllel) = 98.111\n  n(cross-over) = 24.52775\n          delta = 10\n          sigma = 25\n      sig.level = 0.05\n          power = 0.8\n    alternative = two.sided\n\nNOTE: n is number in *each* group<\/code><\/pre>\n\n\n\n<p>\u7d50\u679c\u3068\u3057\u3066\u306f\u3001\u6b63\u78ba\u306a\u65b9\u6cd5\u3068\u307b\u3068\u3093\u3069\u5dee\u304c\u306a\u304f\u3001\u5b9f\u969b\u306b\u306f\uff11\u4f8b\u5c11\u306a\u3044\u7a0b\u5ea6\u306e\u305f\u3081\u3001\u5b9f\u7528\u306b\u306f\u554f\u984c\u306a\u3044\u3068\u8003\u3048\u308b\u3002<\/p>\n\n\n\n<p>\u3053\u308c\u3092\u4f7f\u3063\u3066\u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u3082\u4f5c\u6210\u3057\u3066\u307f\u305f\u3002<\/p>\n\n\n\n<p>\u3088\u3051\u308c\u3070\u3069\u3046\u305e\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/happyhappygk.base.ec\/items\/28032732\">\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13 \u5e73\u5747\u5024\u306e\u5dee\u306e\u691c\u5b9a \u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u3010\u30a8\u30af\u30bb\u30eb\u3067\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3011 | TKER SHOP<\/a><\/p>\n\n\n\n<p>\u4f7f\u3044\u65b9\u52d5\u753b\u89e3\u8aac\u3002<\/p>\n\n\n\n<p>\u3053\u3061\u3089\u3082\u3088\u3051\u308c\u3070\u3069\u3046\u305e\u3002<\/p>\n\n\n\n<p><iframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/txsTelRmglo?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"allowfullscreen\" title=\"\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13 \u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97 \u30a8\u30af\u30bb\u30eb\u30d5\u30a1\u30a4\u30eb\u306e\u4f7f\u3044\u65b9\u3010\u30a8\u30af\u30bb\u30eb\u3067\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3011\"><\/iframe><cite class=\"hatena-citation\"><a href=\"https:\/\/youtu.be\/txsTelRmglo\">youtu.be<\/a><\/cite><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u3092\u30a2\u30d7\u30ea\u3067<\/h2>\n\n\n\n<p>\u30c7\u30b9\u30af\u30c8\u30c3\u30d7\u30a2\u30d7\u30ea\u306f\u3053\u3061\u3089\u2193<\/p>\n\n\n\n<p><a href=\"https:\/\/happyhappygk.base.ec\/items\/96256353\" data-type=\"link\" data-id=\"https:\/\/happyhappygk.base.ec\/items\/96256353\">\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u30a2\u30d7\u30ea\u3010Win \u7248\u3011<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/happyhappygk.base.ec\/items\/96642969\" data-type=\"link\" data-id=\"https:\/\/happyhappygk.base.ec\/items\/96642969\">\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u30a2\u30d7\u30ea\u3010Mac \u7248\u3011<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"\u307e\u3068\u3081\">\u307e\u3068\u3081<\/h2>\n\n\n\n<p>\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306f\u3001\u30a6\u30a9\u30c3\u30b7\u30e5\u30a2\u30a6\u30c8\u3092\u3069\u3046\u3059\u308b\u304b\u3068\u3044\u3046\u554f\u984c\u306f\u3042\u308b\u3082\u306e\u306e\u3001\u5fc5\u8981\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5927\u5e45\u306b\u7d041\/4~1\/5\u306b\u6e1b\u308b\u3002<\/p>\n\n\n\n<p>\u88ab\u9a13\u8005\u3092\u96c6\u3081\u306b\u304f\u3044\u8a66\u9a13\u306e\u5834\u5408\u306f\u3001\u691c\u8a0e\u3059\u308b\u4fa1\u5024\u306f\u3042\u308b\u8a66\u9a13\u30c7\u30b6\u30a4\u30f3\u3060\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"\u53c2\u8003\u6587\u732e\">\u53c2\u8003\u66f8\u7c4d\u30fb\u6587\u732e<\/h2>\n\n\n\n<p><a href=\"https:\/\/amzn.to\/3OVmr8n\" data-type=\"link\" data-id=\"https:\/\/amzn.to\/3OVmr8n\">\u65b0\u7248 \u7121\u4f5c\u70ba\u5316\u6bd4\u8f03\u8a66\u9a13 \u2015\u30c7\u30b6\u30a4\u30f3\u3068\u7d71\u8a08\u89e3\u6790\u2015 (\u533b\u5b66\u7d71\u8a08\u5b66\u30b7\u30ea\u30fc\u30ba5)<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.3109\/14639238109016071\" data-type=\"link\" data-id=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.3109\/14639238109016071\">An interpretation of normal ranges based on a new concept \u2018individual difference quotient\u2019 of clinical laboratory data<\/a><\/p>\n\n\n\n\n","protected":false},"excerpt":{"rendered":"<p>\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u3092 R \u3067\u884c\u3046\u65b9\u6cd5<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"swell_btn_cv_data":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[5,30,6,16],"tags":[],"class_list":["post-520","post","type-post","status-publish","format-standard","hentry","category-r","category-30","category-6","category-16"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/520","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/comments?post=520"}],"version-history":[{"count":6,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/520\/revisions"}],"predecessor-version":[{"id":3371,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/520\/revisions\/3371"}],"wp:attachment":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/media?parent=520"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/categories?post=520"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/tags?post=520"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}