000			04098nam a22003495i 4500
001			85283
003			ES-MaUEC
005			20230207040503.0
007			cr nn 008mamaa
008			160122s2016 gw | s |||| 0|eng d
020			_a9783319271040
040			_aES-MaUEC
050		4	_aQA276 _b.C546 2016 EB
100	1		_aCleophas, Ton J. _0Local _986087
245	1	0	_aClinical Data Analysis on a Pocket Calculator : _bUnderstanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing _cby Ton J Cleophas, Aeilko H Zwinderman
250			_a2nd ed.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XXIII, 334 p.) _b65 ilustraciones, 41 ilustraciones col.
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
520			_aIn everyone's life the day comes that medical and health care has the highest priority. It is unbelievable, that a field, so important, uses the scientific method so little. The current book is helpful for implementation of the scientific method in the daily life of medical and health care workers. From readers' comments to the first editions of this work, the authors came to realize that statistical software programs is experienced by professionals in the field as black box programs producing lots of p-values, but little answers to scientific questions, and many readers had not been happy with that situation. The pocket calculator analyses appeared to be, particularly, appreciated, because they enabled readers for the first time to understand the scientific methods of statistical reasoning and hypothesis testing. So much so, that it started something like a new dimension in their professional world. We should add a number of statistical methods can be performed more easily on a pocket calculator, than using a software program. Also, there are some specific advantages of the pocket calculator method. You better understand what you are doing. The pocket calculator works faster, because far less steps have to be taken, averages can be used. With statistical software all individual data have to be included separately, a time-consuming activity in case of large data files. Some analytical methods, for example, power calculations and required sample size calculations are difficult on a statistical software program, and easy on a pocket calculator. The reason for a rewrite was to give updated and upgraded versions of the forty chapters from the first editions, including the valuable comments of readers. Like in the textbook complementary to the current work, entitled "SPSS for Starters and 2nd Levelers" (Springer Heidelberg 2015, from the same authors), an improved structure of the chapters was produced, including background, main purpose, scientific question, schematic overview of data files, and reference sections. In addition, for the analysis of more complex data twenty novel chapters were written. We showed that, also here, a pocket calculator can be very helpful. For the readers' convenience the chapters have been reclassified according to the most basic difference in data characteristics: continuous outcome data (34 chapters), binary outcome data (26 chapters). Both hypothesized and real data examples are used to explain the sixty pocket calculator methods described. The arithmetic is of a no-more-than high-school level.
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aEstadística matemática _0comprobar BNE19900966258 _2embne _9138936
700	1		_aZwinderman, Aeilko H. _0Local _986088
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-27104-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319271040
907			_a.b12945614 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b22-03-17 _cm _dz _ei _feng _ggw _h0
945			_aQA276 .C546 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11589474 _z06-04-17
999			_c85283 _d85283 _x1