{"id":961,"date":"2018-12-21T16:15:20","date_gmt":"2018-12-21T14:15:20","guid":{"rendered":"http:\/\/biostatistics.med.uoa.gr\/?p=961"},"modified":"2022-04-05T15:54:42","modified_gmt":"2022-04-05T12:54:42","slug":"genetiki_k_moriaki_epidimiologia","status":"publish","type":"post","link":"https:\/\/biostatistics.med.uoa.gr\/en\/genetiki_k_moriaki_epidimiologia\/","title":{"rendered":"Genetic and Molecular Epidemiology"},"content":{"rendered":"<p><strong>Faculty<\/strong><\/p>\n<p>I. Tzoulaki<\/p>\n<p><a href=\"http:\/\/biostatistics.med.uoa.gr\/index.php\/evagelou\/\">\u0395. \u0395\u03c5\u03b1\u03b3\u03b3\u03ad\u03bb\u03bf\u03c5<\/a><\/p>\n<p><a href=\"http:\/\/biostatistics.med.uoa.gr\/index.php\/%ce%ba%cf%8e%cf%83%cf%84%ce%b1%cf%82-%cf%84%cf%83%ce%b9%ce%bb%ce%b9%ce%b4%ce%b7%cf%82\/\">K. Tsilidis<\/a><\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u03a0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7<\/strong><\/p>\n<p>\u03a3\u03ba\u03bf\u03c0\u03cc\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ad\u03c7\u03b5\u03b9 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03c6\u03bf\u03b9\u03c4\u03b7\u03c4\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b2\u03b1\u03c3\u03b9\u03ba\u03ce\u03bd \u03b5\u03bd\u03bd\u03bf\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03b9\u03b4\u03b7\u03bc\u03b9\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ce\u03bd \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b8\u03cc\u03b4\u03c9\u03bd \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b5\u03c5\u03c1\u03b5\u03af\u03b1\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1\u03c2. \u0397 \u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b8\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03b4\u03b7\u03bc\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ad\u03c2 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b5\u03c2, \u03c4\u03b7\u03bd \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03bc\u03b5\u03bb\u03b5\u03c4\u03ce\u03bd \u03c3\u03ac\u03c1\u03c9\u03c3\u03b7\u03c2 \u03c4\u03bf\u03c5 \u03b3\u03bf\u03bd\u03b9\u03b4\u03b9\u03ce\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5\u03c2, \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5\u03c2 \u03b2\u03b9\u03bf-\u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ad\u03c2 \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b5\u03c5\u03c1\u03b5\u03af\u03b1\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1\u03c2.<\/p>\n<p><strong>\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2<\/strong><\/p>\n<table width=\"86%\">\n<tbody>\n<tr>\n<td width=\"17%\">\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2<\/p>\n<p>&nbsp;<\/p>\n<p>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u0386\u03c3\u03ba\u03b7\u03c3\u03b7<\/td>\n<td width=\"82%\">\u0395\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03b7 \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03b4\u03b7\u03bc\u03b9\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 (1h)<\/p>\n<p>\u03a3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03bf\u03af \u03bc\u03b5\u03bb\u03b5\u03c4\u03ce\u03bd \u03c3\u03c4\u03b7 \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03b4\u03b7\u03bc\u03b9\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 (1h)<\/p>\n<p>\u0395\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03bf UNIX, PLINK. \u0391\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2 \u03c3\u03b5 \u03c0\u03bb\u03b1\u03c4\u03c6\u03cc\u03c1\u03bc\u03b5\u03c2 \u03b2\u03b9\u03bf-\u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2.<\/td>\n<\/tr>\n<tr>\n<td width=\"17%\">\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2<\/p>\n<p>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u0386\u03c3\u03ba\u03b7\u03c3\u03b7<\/td>\n<td width=\"82%\">\u039c\u03b5\u03bb\u03ad\u03c4\u03b5\u03c2 \u03c3\u03ac\u03c1\u03c9\u03c3\u03b7\u03c2 \u03c4\u03bf\u03c5 \u03b3\u03bf\u03bd\u03b9\u03b4\u03b9\u03ce\u03bc\u03b1\u03c4\u03bf\u03c2 (GWAS) I (2h)<\/p>\n<p>\u0391\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd GWAS (QC, imputation, graphical tools)\u00a0 (2h)<\/td>\n<\/tr>\n<tr>\n<td width=\"17%\">\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2<\/p>\n<p>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u0386\u03c3\u03ba\u03b7\u03c3\u03b7<\/td>\n<td width=\"82%\">\u039c\u03b5\u03bb\u03ad\u03c4\u03b5\u03c2 \u03c3\u03ac\u03c1\u03c9\u03c3\u03b7\u03c2 \u03c4\u03bf\u03c5 \u03b3\u03bf\u03bd\u03b9\u03b4\u03b9\u03ce\u03bc\u03b1\u03c4\u03bf\u03c2 (GWAS) II (2h)<\/p>\n<p>\u03a3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd GWAS (one and two stage GWAS meta-analysis) (2h)<\/td>\n<\/tr>\n<tr>\n<td width=\"17%\">\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2<\/p>\n<p>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u0386\u03c3\u03ba\u03b7\u03c3\u03b7<\/td>\n<td width=\"82%\">\u0391\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03b3\u03bf\u03bd\u03b9\u03b4\u03af\u03c9\u03bd-\u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2<\/p>\n<p>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03ac\u03c3\u03ba\u03b7\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd GWAS \u03bc\u03b5 \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 (gene-gene, gene-environment interactions) (2h)<\/td>\n<\/tr>\n<tr>\n<td width=\"17%\">\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2<\/p>\n<p>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u0386\u03c3\u03ba\u03b7\u03c3\u03b7<\/td>\n<td width=\"82%\">\u039c\u03b5\u03bd\u03c4\u03b5\u03bb\u03b9\u03b1\u03bd\u03ae \u03a4\u03c5\u03c7\u03b1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 (Mendelian Randomisation) I (2h)\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03ac\u03c3\u03ba\u03b7\u03c3\u03b7 Mendelian Randomisation (genetic instruments) (2h)<\/td>\n<\/tr>\n<tr>\n<td width=\"17%\">\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2<\/p>\n<p>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u0386\u03c3\u03ba\u03b7\u03c3\u03b7<\/td>\n<td width=\"82%\">Mendelian Randomisation II (2h)<\/p>\n<p>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03ac\u03c3\u03ba\u03b7\u03c3\u03b7 Mendelian Randomisation II (one and two sample MR methods) (2h)<\/td>\n<\/tr>\n<tr>\n<td width=\"17%\">\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2<\/p>\n<p>\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2<\/td>\n<td width=\"82%\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03bf\u03af \u03bc\u03b5\u03bb\u03b5\u03c4\u03ce\u03bd \u03c3\u03c4\u03b7 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u03b5\u03c0\u03b9\u03b4\u03b7\u03bc\u03b9\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 (2h)<\/p>\n<p>\u039c\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b5\u03c2 \u03bfmic \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b5\u03ba\u03b8\u03b5\u03c3\u03af\u03c9\u03bc\u03b1 (exposome)<\/td>\n<\/tr>\n<tr>\n<td width=\"17%\">\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2<\/p>\n<p>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u0386\u03c3\u03ba\u03b7\u03c3\u03b7<\/td>\n<td width=\"82%\">\u0392\u03b9\u03bf\u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2 (Exposure and Effect\/ Validity and Confirmation of Association (2h)<\/p>\n<p>*-WAS \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03b5\u03b9\u03c2 (*-WAS: univariate approaches \u2013 multiple correction strategies)<\/td>\n<\/tr>\n<tr>\n<td width=\"17%\">\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2<\/p>\n<p>&nbsp;<\/p>\n<p>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u0386\u03c3\u03ba\u03b7\u03c3\u03b7<\/td>\n<td width=\"82%\">\u03a0\u03bf\u03bb\u03c5\u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ae\u00a0 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03bc\u03b5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 omics\u00a0 &#8211; \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ce\u03bd (variable selection methods)<\/p>\n<p>&nbsp;<\/p>\n<p>\u03a3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7 \u03c3\u03b5 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>","protected":false},"excerpt":{"rendered":"<p>\u0394\u03b9\u03b4\u03ac\u03c3\u03ba\u03bf\u03bd\u03c4\u03b5\u03c2 \u0399. \u03a4\u03b6\u03bf\u03c5\u03bb\u03ac\u03ba\u03b7 \u0395. \u0395\u03c5\u03b1\u03b3\u03b3\u03ad\u03bb\u03bf\u03c5 \u039a. \u03a4\u03c3\u03b9\u03bb\u03af\u03b4\u03b7\u03c2 &nbsp; \u03a0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7 \u03a3\u03ba\u03bf\u03c0\u03cc\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ad\u03c7\u03b5\u03b9 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03c6\u03bf\u03b9\u03c4\u03b7\u03c4\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b2\u03b1\u03c3\u03b9\u03ba\u03ce\u03bd \u03b5\u03bd\u03bd\u03bf\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03b9\u03b4\u03b7\u03bc\u03b9\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ce\u03bd \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b8\u03cc\u03b4\u03c9\u03bd \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b5\u03c5\u03c1\u03b5\u03af\u03b1\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1\u03c2. \u0397 \u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b8\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03b4\u03b7\u03bc\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ad\u03c2 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b5\u03c2, \u03c4\u03b7\u03bd \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae <a href=\"https:\/\/biostatistics.med.uoa.gr\/en\/genetiki_k_moriaki_epidimiologia\/\" rel=\"nofollow\"><span class=\"sr-only\">Read more about \u0393\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u039c\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u0395\u03c0\u03b9\u03b4\u03b7\u03bc\u03b9\u03bf\u03bb\u03bf\u03b3\u03af\u03b1<\/span>[&hellip;]<\/a><\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"_links":{"self":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/961"}],"collection":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/comments?post=961"}],"version-history":[{"count":12,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/961\/revisions"}],"predecessor-version":[{"id":1942,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/posts\/961\/revisions\/1942"}],"wp:attachment":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/media?parent=961"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/categories?post=961"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/tags?post=961"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}