LEADER 02021oam  2200445   450 
001 9910583372603321
005 20190911100031.0
035   $a(OCoLC)1004568849
035   $a(MiFhGG)GVRL7ZKD
035   $a(EXLCZ)993810000000214142
100   $a20171211h20172017  my             0
101 0 $aeng
135   $aurun|---uuuua
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aData literacy $ehow to make your experiments robust and reproducible /$fNeil Smalheiser, MD, PhD, Associate Professor in Psychiatry, Department of Psychiatry and Psychiatric Institute, University of Illinois School of Medicine, USA
210  1$aAmsterdam :$cAcademic Press, an imprint of Elsevier,$d[2017]
210  4$d?2017
215   $a1 online resource (xvii, 261 pages) $cillustrations (some color)
225 0 $aGale eBooks
311   $a0-12-811306-5 
311   $a0-12-811307-3 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aA. Designing your experiment -- B. Getting a "feel" for your data -- C. Statistics (without much math!) -- D. Make your data go farther.
330   $aThis book provides an overview of the basic concepts and skills involved in handling scientific data, and examines the processes that are necessary when carrying out a scientific study and some of the factors that make a study robust and reproducible. Experimental design, data cleansing and preparation, statistical analysis, data management, and reporting are among the topics discussed.
606   $aData mining
606   $aResearch$xData processing
606   $aMedicine$xResearch$xData processing
615  0$aData mining.
615  0$aResearch$xData processing.
615  0$aMedicine$xResearch$xData processing.
676   $a006.312
700   $aSmalheiser$b Neil R.$0916050
801  0$bMiFhGG
801  1$bMiFhGG
906   $aBOOK
912   $a9910583372603321
996   $aData literacy$92053659
997   $aUNINA