001461916 000__ 03261cam\a2200589\i\4500
001461916 001__ 1461916
001461916 003__ OCoLC
001461916 005__ 20230503003417.0
001461916 006__ m\\\\\o\\d\\\\\\\\
001461916 007__ cr\un\nnnunnun
001461916 008__ 230402s2023\\\\si\a\\\\ob\\\\000\0\eng\d
001461916 019__ $$a1375292500
001461916 020__ $$a9789819901357$$q(electronic bk.)
001461916 020__ $$a9819901359$$q(electronic bk.)
001461916 020__ $$z9819901340
001461916 020__ $$z9789819901340
001461916 0247_ $$a10.1007/978-981-99-0135-7$$2doi
001461916 035__ $$aSP(OCoLC)1374423016
001461916 040__ $$aYDX$$beng$$erda$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dN$T$$dCDS
001461916 049__ $$aISEA
001461916 050_4 $$aRA566
001461916 08204 $$a362.102855133$$223/eng/20230411
001461916 1001_ $$aZhao, Peng,$$d1985-$$eauthor.
001461916 24510 $$aWorking with data in public health :$$ba practical pathway with R /$$cPeng Zhao.
001461916 264_1 $$aSingapore :$$bSpringer,$$c2023.
001461916 300__ $$a1 online resource :$$billustrations
001461916 336__ $$atext$$btxt$$2rdacontent
001461916 337__ $$acomputer$$bc$$2rdamedia
001461916 338__ $$aonline resource$$bcr$$2rdacarrier
001461916 504__ $$aIncludes bibliographical references.
001461916 5050_ $$aPart I. Collecting data -- Research design -- Sampling data -- Part II. Processing data -- Cleaning data -- Data types -- Part III. Analyzing data -- Statistics -- Hypothesis testing -- Model -- R packages in public health -- Part IV. Visualizing data -- Basic graphs -- Advanced plotting packages -- Interactive graphs -- Part V. Presenting data -- Data reports -- poster and slides -- Manuscript and Thesis -- Part VI. Managing data -- Project management -- Appendix.
001461916 506__ $$aAccess limited to authorized users.
001461916 520__ $$aThis book provides a complete practical guide of processing data in public health with R language. On the basis of the authors research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. Popular and novel R packages in public health are introduced as well.
001461916 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 11, 2023).
001461916 650_0 $$aPublic health$$xData processing.
001461916 650_0 $$aR (Computer program language)
001461916 655_0 $$aElectronic books.
001461916 77608 $$iPrint version:$$z9819901340$$z9789819901340$$w(OCoLC)1361686330
001461916 852__ $$bebk
001461916 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0135-7$$zOnline Access$$91397441.1
001461916 909CO $$ooai:library.usi.edu:1461916$$pGLOBAL_SET
001461916 980__ $$aBIB
001461916 980__ $$aEBOOK
001461916 982__ $$aEbook
001461916 983__ $$aOnline
001461916 994__ $$a92$$bISE