LEADER 03309nam 2200541 450 001 9910566698903321 005 20221114000632.0 010 $a1-119-71682-9 010 $a1-119-71677-2 010 $a9781119716822$b(ebook) 010 $a1119716829$b(ebook) 010 $a9781119716778$b(pdf) 010 $a1119716772$b(pdf) 010 $z9781119716709$b(hardback) 035 $a(MiAaPQ)EBC6945269 035 $a(Au-PeEL)EBL6945269 035 $a(CKB)21459959100041 035 $a(EXLCZ)9921459959100041 100 $a20221114d2022 uy 0 101 0 $aeng 135 $aurcz#---auuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied medical statistics /$fJingmei Jiang 210 1$aHoboken, NJ :$cJohn Wiley & Sons, Inc.,$d[2022] 210 4$dİ2022 215 $a1 online resource (585 pages) $cillustrations 311 08$aPrint version: Jiang, Jingmei Applied Medical Statistics Newark : John Wiley & Sons, Incorporated,c2022 9781119716709 320 $aIncludes bibliographical references and index. 327 $aWhat is biostatistics -- Descriptive statistics -- Fundamentals of probability -- Discrete random variable -- Continuous random variable -- Sampling distribution and parameter estimation -- Hypothesis testing for one parameter -- Hypothesis testing for two population parameters -- One-way analysis of variance -- Analysis of variance in different experimental -- X2 test -- Nonparametric tests based on rank -- Simple linear regression -- Simple linear correlation -- Multiple linear regression -- Logistic regression -- Survival analysis -- Evaluation of diagnostic tests -- Observational study design -- Experimental study design. 330 $a"Over the past few decades, biomedical data have proliferated rapidly, and opportunities have arisen to use this data to improve human health. Burgeoning methods, such as machine learning techniques, have emerged to respond to the fast growth of the volume of data, and to exploit data in an effective and efficient manner. These methods were founded on statistical learning theory, which is an expansion of traditional statistics. Therefore, cultivating basic statistical thinking capability plays an important and fundamental role in mastering these state-of-the-art methods and embracing the upcoming big data era, which makes a course of introductory biostatistics an indispensable part of the curriculum for medical students. However, as a branch of mathematics, statistics is characterized by hierarchically organized concepts, but a conceptual understanding of statistics is not always intuitive, which makes biostatistics an obstacle that is regarded as a burden for most medical students"--$cProvided by publisher. 606 $aBiometry 606 $aMedical statistics 606 $aMedicine$xResearch$xStatistical methods 608 $aElectronic books. 615 0$aBiometry. 615 0$aMedical statistics. 615 0$aMedicine$xResearch$xStatistical methods. 676 $a570.15195 700 $aJiang$b Jingmei$f1958-$01253012 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910566698903321 996 $aApplied medical statistics$92905017 997 $aUNINA