LEADER 03378nam 22005175 450 001 9910300316003321 005 20200703065614.0 010 $a3-662-57437-3 024 7 $a10.1007/978-3-662-57437-9 035 $a(CKB)4100000004836531 035 $a(MiAaPQ)EBC5435268 035 $a(DE-He213)978-3-662-57437-9 035 $a(PPN)229491499 035 $a(EXLCZ)994100000004836531 100 $a20180623d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical Biostatistics in Translational Healthcare /$fby Allen M. Khakshooy, Francesco Chiappelli 205 $a1st ed. 2018. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2018. 215 $a1 online resource (235 pages) 311 $a3-662-57435-7 327 $aPatient-Centered Outcomes Research: Methodology Issues: Realistic deliverable outcomes in Practice-based research networks -- Design Issues: Randomized clinical trials vs. Clustered randomized clinical trials -- Analysis issues: Patient-centered vs. group data analyses & inferences. Bayesian-ism vs. Frequentist-ism in CEERAP: Data and measurements -- Diagnostic and prognostic inferences -- Quantifying the best evidence. Toward TEA: Acceptable sampling -- Meta-analysis -- Validating inferences of clinical relevance. 330 $aThere is an ever-increasing emphasis on evidence-based medicine that is distinguished by systematic crafting of the patient-centered research question, detailed literature searches, and careful appraisal of the resulting evidence. The consensus that ultimately emerges must then be applied in specific clinical settings, and it is to this process that translational effectiveness analysis refers. This portable and easy-to-use handbook is intended as a practical teaching guide on translational effectiveness for students and clinicians. Specifically, it will serve as a primer on patient-centered outcomes research methodology in the health sciences and explain how to acquire and understand the fundamental data that determine which reports are valued as the ?best available? evidence. It presents an accessible and readily intelligible set of principles which doctors, dentists, nurses, and insurance carriers will be able to use in the process of health care-related decision-making. 606 $aGeneral practice (Medicine) 606 $aDentistry 606 $aNursing 606 $aGeneral Practice / Family Medicine$3https://scigraph.springernature.com/ontologies/product-market-codes/H24003 606 $aDentistry$3https://scigraph.springernature.com/ontologies/product-market-codes/D00009 606 $aNursing$3https://scigraph.springernature.com/ontologies/product-market-codes/H41005 615 0$aGeneral practice (Medicine). 615 0$aDentistry. 615 0$aNursing. 615 14$aGeneral Practice / Family Medicine. 615 24$aDentistry. 615 24$aNursing. 676 $a570.15195 700 $aKhakshooy$b Allen M$4aut$4http://id.loc.gov/vocabulary/relators/aut$0787477 702 $aChiappelli$b Francesco$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910300316003321 996 $aPractical Biostatistics in Translational Healthcare$92065747 997 $aUNINA