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10.3978/j.issn.2305-5839.2015.11.26 http://scihub22266oqcxt.onion/10.3978/j.issn.2305-5839.2015.11.26 C4669318!4669318!26697463     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Ann+Transl+Med 2015 ; 3 (20): ä Nephropedia Template TP {{tp|p=26697463|t=2015. Data management by using R: big data clinical research series |pdf=|usr=}}{{26697463}} gab.com Text Data management by using R: big data clinical research series JO: Ann Transl Med http://www.kidney.de/pget.php?&tw=1&pmid=26697463 #FOAvip Electronic medical record (EMR) system has been widely used in clinical practice. Instead of traditional record system by hand writing and recording, the EMR makes big data clinical research feasible. The most important feature of big data research is its real-world setting. Furthermore, big data research can provide all aspects of information related to healthcare. However, big data research requires some skills on data management, which however, is always lacking in the curriculum of medical education. This greatly hinders doctors from testing their clinical hypothesis by using EMR. To make ends meet, a series of articles introducing data management techniques are put forward to guide clinicians to big data clinical research. The present educational article firstly introduces some basic knowledge on R language, followed by some data management skills on creating new variables, recoding variables and renaming variables. These are very basic skills and may be used in every project of big data research. Twit Text FOAVip Data management by using R: big data clinical research series ????Ann Transl Med http://www.kidney.de/pget.php?&tw=1&pmid=26697463 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26697463 #FOAvip English Wikipedia <ref>{{Cite pmid|26697463}}</ref> Data management by using R: big data clinical research series #MMPMID26697463 Zhang Z Ann Transl Med 2015[Nov]; 3 (20): ä PMID26697463show ga Electronic medical record (EMR) system has been widely used in clinical practice. Instead of traditional record system by hand writing and recording, the EMR makes big data clinical research feasible. The most important feature of big data research is its real-world setting. Furthermore, big data research can provide all aspects of information related to healthcare. However, big data research requires some skills on data management, which however, is always lacking in the curriculum of medical education. This greatly hinders doctors from testing their clinical hypothesis by using EMR. To make ends meet, a series of articles introducing data management techniques are put forward to guide clinicians to big data clinical research. The present educational article firstly introduces some basic knowledge on R language, followed by some data management skills on creating new variables, recoding variables and renaming variables. These are very basic skills and may be used in every project of big data research. äData management by using R: big data clinical research series (epmc).pdf DeepDyve Pubget Overpricing