{"id":7689,"date":"2016-08-31T18:47:29","date_gmt":"2016-08-31T18:47:29","guid":{"rendered":"https:\/\/www.raijmr.com\/ijrmp\/?p=7689"},"modified":"2025-09-01T14:35:05","modified_gmt":"2025-09-01T14:35:05","slug":"vol-5-issue-9-september-2016","status":"publish","type":"post","link":"https:\/\/www.raijmr.com\/ijrmp\/vol-5-issue-9-september-2016\/","title":{"rendered":"Vol. 5, Issue 9, September 2016"},"content":{"rendered":"<table style=\"width: 96.9364%; height: 219px;\" width=\"844\">\n<tbody>\n<tr style=\"height: 29px;\">\n<td style=\"text-align: center; width: 2.71868%; height: 29px;\" width=\"19\"><strong>Sr.<\/strong><\/td>\n<td style=\"text-align: center; width: 48.9362%; height: 29px;\" width=\"425\"><strong>Title of Research Paper\/Article<\/strong><\/td>\n<td style=\"text-align: center; width: 20.6856%; height: 29px;\" width=\"180\"><strong>Author<\/strong><\/td>\n<td style=\"text-align: center; width: 13.2388%; height: 29px;\" width=\"110\"><strong>e-Certificate<\/strong><\/td>\n<td style=\"text-align: center; width: 13.2388%; height: 29px;\" width=\"110\"><strong>Download<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 95px;\">\n<td style=\"width: 2.71868%; height: 95px;\" width=\"19\">1<\/td>\n<td style=\"width: 48.9362%; height: 95px;\" width=\"425\"><a href=\"https:\/\/ijrmp.org\/real-time-data-capture-in-dental-clinical-trials-a-study-on-feasibility-and-accuracy-using-mobile-health-applications\/\"><span style=\"color: #0000ff;\"><strong>Real-Time Data Capture in Dental Clinical Trials: A Study on Feasibility and Accuracy Using Mobile Health Applications<\/strong><\/span><\/a><\/td>\n<td style=\"width: 20.6856%; height: 95px;\" width=\"180\">Parth Mahajan<\/td>\n<td style=\"width: 13.2388%; height: 95px;\" width=\"110\">\u00a0<a href=\"https:\/\/ijrmp.org\/wp-content\/uploads\/2016\/09\/ijrmp%20certificate_Real-Time%20Data%20Capture%20in%20Dental%20Clinical%20Trials%20A%20Study%20on%20Feasibility%20and%20Accuracy%20Using%20Mobile%20Health%20Applications.pdf\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-2889 size-medium\" src=\"https:\/\/ijrmp.org\/wp-content\/uploads\/2017\/11\/download-certificate-300x78.jpg\" alt=\"\" width=\"300\" height=\"78\" srcset=\"https:\/\/www.raijmr.com\/ijrmp\/wp-content\/uploads\/2017\/11\/download-certificate-300x78.jpg 300w, https:\/\/www.raijmr.com\/ijrmp\/wp-content\/uploads\/2017\/11\/download-certificate.jpg 500w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/td>\n<td style=\"width: 13.2388%; height: 95px;\" width=\"110\">\u00a0<a href=\"https:\/\/ijrmp.org\/wp-content\/uploads\/2016\/09\/IJRMP0916010009_Real-Time%20Data%20Capture%20in%20Dental%20Clinical%20Trials-%20A%20Study%20on%20Feasibility%20and%20Accuracy%20Using%20Mobile%20Health%20Applications.pdf\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-2888 size-medium\" src=\"https:\/\/ijrmp.org\/wp-content\/uploads\/2017\/11\/download-article-300x78.jpg\" alt=\"\" width=\"300\" height=\"78\" srcset=\"https:\/\/www.raijmr.com\/ijrmp\/wp-content\/uploads\/2017\/11\/download-article-300x78.jpg 300w, https:\/\/www.raijmr.com\/ijrmp\/wp-content\/uploads\/2017\/11\/download-article.jpg 500w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/td>\n<\/tr>\n<tr style=\"height: 95px;\">\n<td style=\"width: 2.71868%; height: 95px;\" width=\"19\">2<\/td>\n<td style=\"width: 48.9362%; height: 95px;\" width=\"425\"><a href=\"https:\/\/ijrmp.org\/leveraging-ai-based-sas-models-to-predict-patient-dropout-in-longitudinal-clinical-research\/\"><span style=\"color: #0000ff;\"><strong>Leveraging AI-Based SAS Models to Predict Patient Dropout in Longitudinal Clinical Research<\/strong><\/span><\/a><\/td>\n<td style=\"width: 20.6856%; height: 95px;\" width=\"180\">Shreyas Nambiar<\/td>\n<td style=\"width: 13.2388%; height: 95px;\" width=\"110\"><a href=\"https:\/\/ijrmp.org\/wp-content\/uploads\/2016\/09\/ijrmp%20certificate_Leveraging%20AI-Based%20SAS%20Models%20to%20Predict%20Patient%20Dropout%20in%20Longitudinal%20Clinical%20Research.pdf\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-2889 size-medium\" src=\"https:\/\/ijrmp.org\/wp-content\/uploads\/2017\/11\/download-certificate-300x78.jpg\" alt=\"\" width=\"300\" height=\"78\" srcset=\"https:\/\/www.raijmr.com\/ijrmp\/wp-content\/uploads\/2017\/11\/download-certificate-300x78.jpg 300w, https:\/\/www.raijmr.com\/ijrmp\/wp-content\/uploads\/2017\/11\/download-certificate.jpg 500w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/td>\n<td style=\"width: 13.2388%; height: 95px;\" width=\"110\"><a href=\"https:\/\/ijrmp.org\/wp-content\/uploads\/2016\/09\/IJRMP0916100017_Leveraging%20AI-Based%20SAS%20Models%20to%20Predict%20Patient%20Dropout%20in%20Longitudinal%20Clinical%20Research.pdf\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-2888 size-medium\" src=\"https:\/\/ijrmp.org\/wp-content\/uploads\/2017\/11\/download-article-300x78.jpg\" alt=\"\" width=\"300\" height=\"78\" srcset=\"https:\/\/www.raijmr.com\/ijrmp\/wp-content\/uploads\/2017\/11\/download-article-300x78.jpg 300w, https:\/\/www.raijmr.com\/ijrmp\/wp-content\/uploads\/2017\/11\/download-article.jpg 500w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Sr. Title of Research Paper\/Article Author e-Certificate Download 1 Real-Time Data Capture in Dental Clinical Trials: A Study on Feasibility and Accuracy Using Mobile Health Applications Parth Mahajan \u00a0 \u00a0 2 Leveraging AI-Based SAS Models to Predict Patient Dropout in Longitudinal Clinical Research Shreyas Nambiar<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,46],"tags":[],"class_list":{"0":"post-7689","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-ijrmp","7":"category-ijrmp-vol-9-2019"},"_links":{"self":[{"href":"https:\/\/www.raijmr.com\/ijrmp\/wp-json\/wp\/v2\/posts\/7689","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.raijmr.com\/ijrmp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.raijmr.com\/ijrmp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.raijmr.com\/ijrmp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.raijmr.com\/ijrmp\/wp-json\/wp\/v2\/comments?post=7689"}],"version-history":[{"count":2,"href":"https:\/\/www.raijmr.com\/ijrmp\/wp-json\/wp\/v2\/posts\/7689\/revisions"}],"predecessor-version":[{"id":7781,"href":"https:\/\/www.raijmr.com\/ijrmp\/wp-json\/wp\/v2\/posts\/7689\/revisions\/7781"}],"wp:attachment":[{"href":"https:\/\/www.raijmr.com\/ijrmp\/wp-json\/wp\/v2\/media?parent=7689"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.raijmr.com\/ijrmp\/wp-json\/wp\/v2\/categories?post=7689"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.raijmr.com\/ijrmp\/wp-json\/wp\/v2\/tags?post=7689"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}