{"id":1380,"date":"2025-01-23T07:03:55","date_gmt":"2025-01-23T07:03:55","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/01\/23\/harmonizing-and-pooling-datasets-for-health-research-in-r-8860388854ee\/"},"modified":"2025-01-23T07:03:55","modified_gmt":"2025-01-23T07:03:55","slug":"harmonizing-and-pooling-datasets-for-health-research-in-r-8860388854ee","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/01\/23\/harmonizing-and-pooling-datasets-for-health-research-in-r-8860388854ee\/","title":{"rendered":"Harmonizing and Pooling Datasets for Health Research in R"},"content":{"rendered":"<p>    Harmonizing and Pooling Datasets for Health Research in R<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<div class=\"medium-feed-item\">\n<p class=\"medium-feed-image\"><a href=\"https:\/\/towardsdatascience.com\/harmonizing-and-pooling-datasets-for-health-research-in-r-8860388854ee\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.medium.com\/max\/2600\/0*lN2SC-1uo_bL0B4y\" width=\"6240\"><\/a><\/p>\n<p class=\"medium-feed-snippet\">R code to extract data from unique datasets and combine them in one harmonized dataset ready for seamless analysis<\/p>\n<p class=\"medium-feed-link\"><a href=\"https:\/\/towardsdatascience.com\/harmonizing-and-pooling-datasets-for-health-research-in-r-8860388854ee\">Continue reading on Towards Data Science \u00bb<\/a><\/p>\n<\/div>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Rodrigo M Carrillo Larco, MD, PhD<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/medium.com\/m\/global-identity-2?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fharmonizing-and-pooling-datasets-for-health-research-in-r-8860388854ee\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Harmonizing and Pooling Datasets for Health Research in R R code to extract data from unique datasets and combine them in one harmonized dataset ready for seamless analysis Continue reading on Towards Data Science \u00bb Rodrigo M Carrillo Larco, MD, PhD Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,365,83,1428,256,158],"tags":[1429,1430,1431],"class_list":["post-1380","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-coding","category-data-science","category-health","category-r","category-tips-and-tricks","tag-datasets","tag-harmonizing","tag-pooling"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/1380"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=1380"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/1380\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=1380"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=1380"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=1380"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}