{"id":1859,"date":"2025-08-31T17:22:39","date_gmt":"2025-08-31T08:22:39","guid":{"rendered":"https:\/\/info.zanet.biz\/?p=1859"},"modified":"2025-10-23T14:06:18","modified_gmt":"2025-10-23T05:06:18","slug":"%e3%83%99%e3%82%a4%e3%82%b8%e3%82%a2%e3%83%b3%e3%83%8d%e3%83%83%e3%83%88%e3%83%af%e3%83%bc%e3%82%af%e3%83%a1%e3%82%bf%e3%82%a2%e3%83%8a%e3%83%aa%e3%82%b7%e3%82%b9%e3%81%ae%e3%81%9f%e3%82%81%e3%81%aer","status":"publish","type":"post","link":"https:\/\/info.zanet.biz\/?p=1859","title":{"rendered":"\u30d9\u30a4\u30b8\u30a2\u30f3\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u305f\u3081\u306eR\u30d1\u30c3\u30b1\u30fc\u30b8gemtc\u3067\u53d6\u308a\u6271\u3046\u30c7\u30fc\u30bf\u5f62\u5f0f"},"content":{"rendered":"\n

\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3067\u306f\u30013\u3064\u4ee5\u4e0a\u306e\u4ecb\u5165\u3042\u308b\u3044\u306f\u6cbb\u7642\u306e\u52b9\u679c\u3092\u8907\u6570\u306e\u7814\u7a76\u304b\u3089\u307e\u3068\u3081\u3066\u6bd4\u8f03\u3057\u3001\u76f4\u63a5\u6bd4\u8f03\u3060\u3051\u3067\u306a\u304f\u9593\u63a5\u6bd4\u8f03\u306e\u30c7\u30fc\u30bf\u3082\u542b\u3081\u3066\u3001\u5404\u30da\u30a2\u3092\u6bd4\u8f03\u3059\u308b\u52b9\u679c\u6307\u6a19\u306e\u7d71\u5408\u5024\u3068\u4fe1\u983c\u533a\u9593\uff08\u3042\u308b\u3044\u306f\u306f\u78ba\u4fe1\u533a\u9593\uff09\u304a\u3088\u3073\u52b9\u679c\u306e\u5927\u304d\u3055\u306e\u9806\u4f4d\u3092\u77e5\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30da\u30a2\u6bd4\u8f03\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306f\u4e8c\u3064\u306e\u4ecb\u5165\u306e\u3046\u3061\u3001\u3069\u3061\u3089\u3092\u9078\u629e\u3059\u3079\u304d\u304b\u3068\u3044\u3046\u554f\u984c\u306b\u89e3\u7b54\u3092\u4e0e\u3048\u3066\u304f\u308c\u307e\u3059\u304c\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306f\u4e09\u3064\u4ee5\u4e0a\u306e\u4ecb\u5165\u306e\u3046\u3061\u3069\u308c\u3092\u9078\u629e\u3059\u3079\u304d\u304b\u3001\u8a00\u3044\u63db\u3048\u308b\u3068\u6700\u5584\u306e\u4ecb\u5165\u306f\u3069\u308c\u304b\u3068\u3044\u3046\u554f\u984c\u306b\u89e3\u7b54\u3092\u4e0e\u3048\u3066\u304f\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u2192\u53c2\u8003\u60c5\u5831<\/a><\/p>\n\n\n\n

\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u7528\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3068\u3057\u3066\u3001\u983b\u5ea6\u8ad6\u6d3e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u305f\u3081\u306b\u306fnetmeta<\/a>\u3068\u3044\u3046R\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u304c\u3042\u308a\u307e\u3059\u304c\u3001gemtc<\/a>\u306f\u30d9\u30a4\u30b8\u30a2\u30f3\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u305f\u3081\u306eR\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u3001rjags<\/a>\u3068\u3044\u3046R\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4ecb\u3057\u3066JAGS (Just Another Gibbs Sampler<\/a>)\u3067MCMC\uff08Malkov Chain Monte Carlo)\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u5b9f\u884c\u3055\u305b\u307e\u3059\u3002JAGS\u3068rjags\u306f\u3042\u3089\u304b\u3058\u3081\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u304a\u304d\u307e\u3059\u3002R\u3067\u4f7f\u7528\u3059\u308b\u969b\u306b\u306f\u3001library(rjags);library(gemtc)\u3092\u6700\u521d\u306b\u5b9f\u884c\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u306e\u306f\u3001\u4ed6\u306eR\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3068\u540c\u3058\u3067\u3059\u3002<\/p>\n\n\n\n

MCMC\u3067\u306f\u4e8b\u5f8c\u5206\u5e03\u304b\u3089\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u3001\u6570\u4e07\u304b\u3089100\u4e07\u7a0b\u5ea6\u306e\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u5024\u3092\u5f97\u308b\u306e\u3067\u3001\u5b9f\u884c\u306b\u306f\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002\u4e8b\u524d\u5206\u5e03\u306b\u306f\u307b\u307c\u5e73\u5766\u306a\u5206\u5e03\u3092\u7528\u3044\u307e\u3059\u304c\u3001\u65e2\u77e5\u306e\u60c5\u5831\u306b\u57fa\u3065\u3044\u3066\u8a2d\u5b9a\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

gemtc\u3067\u306f\u9023\u7d9a\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u5834\u5408\u3001\u5e73\u5747\u5024\u5deeMean Difference (MD)\u3092\u52b9\u679c\u6307\u6a19\u3068\u3057\u3066\u53d6\u308a\u6271\u3048\u307e\u3059\u304c\u3001\u6700\u8fd1\u3001\u6a19\u6e96\u5316\u5e73\u5747\u5024\u5deeStandardized Mean Difference (SMD)\u3082\u53d6\u308a\u6271\u3048\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u5404\u7814\u7a76\u304b\u3089\u30a2\u30fc\u30e0\u3054\u3068\u306e\u7814\u7a76ID\u3001\u6cbb\u7642\u3001\u5e73\u5747\u5024\u3001\u6a19\u6e96\u504f\u5dee\u3001\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306e\u30c7\u30fc\u30bf\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002\u5217\u540d\u306fstudy, treatment, mean, std.dev, sampleSize\u3068\u3057\u307e\u3059\u3002\u540c\u3058\u7814\u7a76\u5185\u3067\u306f\u6700\u521d\u306e\u884c\u304c\u53c2\u7167\u30a2\u30fc\u30e0\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

\u3053\u306e\u3088\u3046\u306a\u30c7\u30fc\u30bf\u5f62\u5f0f\u3092Arm-level data\u3068\u547c\u3093\u3067\u3044\u307e\u3059\u3002\u307e\u305f\u3001\u3042\u3089\u304b\u3058\u3081\u8a08\u7b97\u3057\u305f\u5e73\u5747\u5024\u5dee\u3068\u305d\u306e\u6a19\u6e96\u8aa4\u5dee\u3001\u3042\u308b\u3044\u306f\u3001\u6a19\u6e96\u5316\u5e73\u5747\u5024\u5dee\u3068\u305d\u306e\u6a19\u6e96\u8aa4\u5dee\u304b\u3089\u3082\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u5834\u5408\u3067\u3082\u3001netmeta\u306a\u3069\u306e\u30c7\u30fc\u30bf\u5f62\u5f0f\u3068\u7570\u306a\u308a\u30011\u884c1\u30a2\u30fc\u30e0\u306e\u5f62\u5f0f\u306b\u306a\u308a\u307e\u3059\u3002\u5217\u540d\u306fstudy, treatment, diff, std.err\u3068\u306a\u308a\u307e\u3059\u3002\u3053\u306e\u3088\u3046\u306a\u30c7\u30fc\u30bf\u5f62\u5f0f\u3092Relative effect data\u3068\u547c\u3093\u3067\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

1\u3064\u306e\u884c\u306b2\u3064\u306e\u30a2\u30fc\u30e0\u3092\u6bd4\u8f03\u3057\u305f\u76f8\u5bfe\u7684\u52b9\u679c\u6307\u6a19\u3068\u305d\u306e\u6a19\u6e96\u8aa4\u5dee\u304c\u542b\u307e\u308c\u3066\u3044\u308b\u306e\u3067\u3059\u304c\u3001\u53c2\u7167\u30a2\u30fc\u30e0\u306e\u884c\u3082\u5fc5\u8981\u3067\u3001\u53c2\u7167\u30a2\u30fc\u30e0\u306ediff\u306e\u6b04\u306fNA\u3068\u3057\u307e\u3059\u30022\u30a2\u30fc\u30e0\u3060\u3051\u3057\u304b\u306a\u3044\u5834\u5408\u306f\u3001std.err\u306e\u6b04\u3082NA\u3067\u554f\u984c\u306a\u3044\u306e\u3067\u3059\u304c\u30013\u30a2\u30fc\u30e0\u4ee5\u4e0a\u3042\u308b\u5834\u5408\u306f\u3001\u53c2\u7167\u30a2\u30fc\u30e0\u306estd.err\u306b\u306f\u53c2\u7167\u30a2\u30fc\u30e0\u306e\u6a19\u6e96\u8aa4\u5dee\u306e\u5024\u304c\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u3002\u5e73\u5747\u5024\u5dee\u3067\u3042\u308c\u3070\u3001\u5bfe\u7167\u30a2\u30fc\u30e0\u306e\u6a19\u6e96\u504f\u5dee\u3092\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306e\u5e73\u65b9\u6839\u3067\u5272\u308a\u7b97\u3057\u305f\u5024\u306b\u306a\u308a\u307e\u3059\u3057\u3001\u6a19\u6e96\u5316\u5e73\u5747\u5024\u5dee\u306e\u5834\u5408\u306f\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306e\u5e73\u65b9\u6839\u306e\u9006\u6570\u306b\u306a\u308a\u307e\u3059\u3002\u53c2\u7167\u30a2\u30fc\u30e0\u306e\u6a19\u6e96\u8aa4\u5dee\u306e\u5024\u304cNA\u3060\u3068\u30e2\u30c7\u30eb\u4f5c\u6210\u6642\u306b\u30a8\u30e9\u30fc\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

\u901a\u5e38\u306f\u3001\u5143\u30c7\u30fc\u30bf\u3068\u3057\u3066\u3001\u5404\u30a2\u30fc\u30e0\u306e\u5e73\u5747\u5024\u3068\u6a19\u6e96\u504f\u5dee\u3092\u7528\u610f\u3057\u305f\u307b\u3046\u304c\u3044\u3044\u3067\u3057\u3087\u3046\u3002\u4e00\u90e8\u306e\u7814\u7a76\u3067\u4f8b\u3048\u3070\u3001\u5e73\u5747\u5024\u5dee\u3068\u6a19\u6e96\u8aa4\u5dee\u3001\u3042\u308b\u3044\u306f\u6a19\u6e96\u5316\u5e73\u5747\u5024\u5dee\u3068\u6a19\u6e96\u8aa4\u5dee\u306e\u30c7\u30fc\u30bf\u3057\u304b\u5f97\u3089\u308c\u306a\u3044\u3088\u3046\u306a\u5834\u5408\u3001\u4ed6\u306e\u7814\u7a76\u306b\u3064\u3044\u3066\u3001\u3053\u308c\u3089\u306e\u76f8\u5bfe\u52b9\u679c\u6307\u6a19\u3068\u6a19\u6e96\u8aa4\u5dee\u3092\u8a08\u7b97\u3057\u3066\u89e3\u6790\u3059\u308b\u3088\u3046\u306a\u5834\u5408\u306f\u3001Relative effect data\u3092\u4f7f\u3046\u3053\u3068\u306b\u306a\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n\n\n\n

gemtc\u3067\u306f\u6700\u521d\u306b\u3001mtc.network()\u95a2\u6570\u3067\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u304c\u3001Arm-level data\u306e\u5834\u5408\u306f\u3001netw=mtc.network(data.ab=data)\u3068\u8a18\u8ff0\u3057\u3001Relative effect data\u306e\u5834\u5408\u306f\u3001netw=mtc.network(data.re=data)\u3068\u8a18\u8ff0\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

mtc.model()\u95a2\u6570\u306f\u5909\u6570netw\u306b\u5bfe\u3057\u3066\u6f14\u7b97\u51e6\u7406\u3092\u884c\u3044\u307e\u3059\u304c\u3001likelihood\u3068link\u306e\u5f15\u6570\u306b\u52b9\u679c\u6307\u6a19\u306e\u30bf\u30a4\u30d7\u306b\u5fdc\u3058\u305f\u5024\u3092\u8a2d\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u5143\u30c7\u30fc\u30bf\u304c\u5e73\u5747\u5024\u3068\u6a19\u6e96\u504f\u5dee\u306e\u5834\u5408\u306f\u3001likelihood=”normal”, link=”identity”\u3068\u3059\u308b\u3068\u3001\u7d71\u5408\u5024\u306f\u5e73\u5747\u5024\u5dee\u306b\u306a\u308a\u307e\u3059\u3002liklihood=”normal”, link=”smd”\u3068\u3059\u308b\u3068\u7d71\u5408\u5024\u306f\u6a19\u6e96\u5316\u5e73\u5747\u5024\u5dee\u306b\u306a\u308a\u307e\u3059\u3002\u6a19\u6e96\u5316\u5e73\u5747\u5024\u5dee\u306fHedge’s g\u304c\u7528\u3044\u3089\u308c\u3066\u3044\u307e\u3059\u3002Cohen’s d\u306b\u5bfe\u3057\u3001\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5c0f\u3055\u3044\u5834\u5408\u306e\u305a\u308c\u3092\u8abf\u6574\u3059\u308b\u9805\u304c\u8ffd\u52a0\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u5143\u30c7\u30fc\u30bf\u304c\u3001Relative effect data\u3067\u3001\u5e73\u5747\u5024\u5dee\u3068\u6a19\u6e96\u8aa4\u5dee\u306e\u5834\u5408\u3001likelihood=”normal”, link=”identity”\u3068\u3059\u308b\u3068\u3001\u7d71\u5408\u5024\u306f\u5e73\u5747\u5024\u5dee\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

\u5143\u30c7\u30fc\u30bf\u304c\u3001Relative effect data\u3067\u3001\u6a19\u6e96\u5316\u5e73\u5747\u5024\u5dee\u3068\u6a19\u6e96\u8aa4\u5dee\u306e\u5834\u5408\u3001likelihood=”normal”, link=”identity”\u3068\u3059\u308b\u3068\u3001\u7d71\u5408\u5024\u306f\u6a19\u6e96\u5316\u5e73\u5747\u5024\u5dee\u306b\u306a\u308a\u307e\u3059\u3002\u305f\u3060\u3057\u3001gemtc\u306eforest()\u95a2\u6570\u3067\u3001\u30d5\u30a9\u30ec\u30b9\u30c8\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u3068\u3001\u30e9\u30d9\u30eb\u304cMean Difference\u3068\u306a\u308a\u307e\u3059\u306e\u3067\u3001\u3042\u3068\u3067\u753b\u50cf\u3068\u3057\u3066\u958b\u3044\u3066\u66f8\u304d\u63db\u3048\u308b\u304b\u3001forestplot\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u3046\u306a\u3069\u3057\u3066\u3001\u5225\u306e\u65b9\u6cd5\u3067\u30d5\u30a9\u30ec\u30b9\u30c8\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

\u4f8b\u3048\u3070\u3001netw = mtc.network(data.ab = data)\u3067\u4f5c\u6210\u3057\u305f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u5909\u6570\u540d\u304cnetw\u3060\u3068\u3059\u308b\u3068\u3001\u6b21\u306e\u30b9\u30c6\u30c3\u30d7\u3067\u306fmtc.model()\u95a2\u6570\u3067\u3001netw\u306b\u5bfe\u3057\u3066\u30e2\u30c7\u30eb\u4f5c\u6210\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

model <- mtc.model(netw, likelihood = lh, link = lk, linearModel=rndfix, n.chain=chain )<\/p>\n\n\n\n

\u5909\u6570lh, lk\u306b\u306f\u4e0a\u8a18\u306e\u6587\u5b57\u5217\u3092\u683c\u7d0d\u3057\u307e\u3059\u3002\u30e9\u30f3\u30c0\u30e0\u52b9\u679c\u30e2\u30c7\u30eb\u306e\u5834\u5408\u306f\u3001rndfix = “random”\u3068\u3057\u307e\u3059\u3002chain\u306fMCMC\u3092\u7e70\u308a\u8fd4\u3059\u56de\u6570\u3067\u3059\u3001\u4f8b\u3048\u3070\u3001chain=4\u3068\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\u305d\u306e\u5f8c\u3001\u4f8b\u3048\u3070\u3001\u4ee5\u4e0b\u306e\u69d8\u306bMCMC\u3092\u5b9f\u884c\u3055\u305b\u307e\u3059\u3002<\/p>\n\n\n\n

burnin = 10000
iteration = 110000
thin = 1
res <- mtc.run(model, n.adapt = burnin, n.iter = iteration, thin = thin)<\/p>\n\n\n\n

\u4ee5\u4e0a\u3092\u89e3\u8aac\u3057\u305fPDF\u306e\u30b9\u30e9\u30a4\u30c9\u30d5\u30a1\u30a4\u30eb\u3092\u3053\u3061\u3089\u3067\u95b2\u89a7<\/a>\u3067\u304d\u307e\u3059(4.3MB)\u3002<\/p>\n\n\n\n

gemtc\u306f\u3082\u3061\u308d\u3093\u3001\u30ea\u30b9\u30af\u6bd4\u3001\u30ea\u30b9\u30af\u5dee\u3001\u30aa\u30c3\u30ba\u6bd4\u3001\u30cf\u30b6\u30fc\u30c9\u6bd4\u3082\u53d6\u308a\u6271\u3048\u307e\u3059\u3002\u5143\u30c7\u30fc\u30bf\u306e\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u3068\u3001likelihood\u3001link\u306e\u8a2d\u5b9a\u304c\u5206\u304b\u3089\u306a\u3044\u3068\u3001\u4f7f\u3048\u306a\u3044\u306e\u3067\u3001\u4eca\u56de\u7279\u306b\u3001\u9023\u7d9a\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u5834\u5408\u306b\u3064\u3044\u3066\u3001\u89e3\u8aac\u3057\u307e\u3057\u305f\u3002\u5b9f\u969b\u306eR\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u3084MCMC\u306e\u7d50\u679c\u306e\u5229\u7528\u6cd5\u306b\u3064\u3044\u3066\u306f\u3044\u3064\u304b\u89e3\u8aac\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3067\u306f\u30013\u3064\u4ee5\u4e0a\u306e\u4ecb\u5165\u3042\u308b\u3044\u306f\u6cbb\u7642\u306e\u52b9\u679c\u3092\u8907\u6570\u306e\u7814\u7a76\u304b\u3089\u307e\u3068\u3081\u3066\u6bd4\u8f03\u3057\u3001\u76f4\u63a5\u6bd4\u8f03\u3060\u3051\u3067\u306a\u304f\u9593\u63a5\u6bd4\u8f03\u306e\u30c7\u30fc\u30bf\u3082\u542b\u3081\u3066\u3001\u5404\u30da\u30a2\u3092\u6bd4\u8f03\u3059\u308b\u52b9\u679c\u6307\u6a19\u306e\u7d71\u5408\u5024\u3068\u4fe1\u983c\u533a\u9593\uff08\u3042\u308b\u3044\u306f\u306f\u78ba\u4fe1\u533a\u9593\uff09\u304a\u3088\u3073\u52b9\u679c\u306e\u5927\u304d … “\u30d9\u30a4\u30b8\u30a2\u30f3\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u305f\u3081\u306eR\u30d1\u30c3\u30b1\u30fc\u30b8gemtc\u3067\u53d6\u308a\u6271\u3046\u30c7\u30fc\u30bf\u5f62\u5f0f” \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32,2],"tags":[],"class_list":["post-1859","post","type-post","status-publish","format-standard","hentry","category-statistics","category-sr"],"_links":{"self":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/1859","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1859"}],"version-history":[{"count":5,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/1859\/revisions"}],"predecessor-version":[{"id":1883,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/1859\/revisions\/1883"}],"wp:attachment":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1859"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1859"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1859"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}