LEADER 06742nam 22007335 450 001 9910349439903321 005 20250609110701.0 010 $a3-030-06176-0 024 7 $a10.1007/978-3-030-06176-0 035 $a(CKB)4100000009606122 035 $a(MiAaPQ)EBC5946195 035 $a(DE-He213)978-3-030-06176-0 035 $a(PPN)24860368X 035 $a(MiAaPQ)EBC5946123 035 $a(EXLCZ)994100000009606122 100 $a20191015d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aClinical Research Transformed /$fby Olli S. Miettinen, Johann Steurer, Albert Hofman 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (307 pages) 311 08$a3-030-06175-2 327 $aForeword -- Preface -- Acknowledgements -- Essence of Clinical Medicine -- Essence of Clinical Research -- Clinical Research and Clinical Medicine at present -- Clinical Research Transformative of Clinical Medicine -- Core Concepts of Epidemiology and Epidemiological Research -- The Epidemiological Interface of Gnostic Clinical Research -- The Logistic Regression Model -- Statistics from the Model?s Fitting to Gnostic Data -- The Types of Diagnostic Challenge and Needs for Knowledge -- Harvesting Experts? Diagnostic Probability Estimates -- Objects Design for a Diagnostic Probability Study -- Methods Design for a Diagnostic Probability Study -- The Bayes? Theorem Framework for Diagnostic Research -- Research Focused on Diagnostic Tests -- Introduction to Etiognostic Research -- Objects Design for an Etiognostic Study -- Methods Design for an Etiognostic Study -- Introduction to Prognostic Research -- Example: Research on ?Hormone Replacement Therapy? -- Prognostic Probability Functions from Clinical-trial Data -- Non-experimental Intervention-prognostic Studies -- Intervention-prognostic Derivative Research -- Theory of Medicine Defining the Essential Missions for Clinical Research -- Theory of Clinical Research for Its Essential - Gnosis-serving - Missions -- Toward Worldwide Scientific Clinical Medicine -- Glossary -- Appendix 1: What about ?Machine Learning??- Appendix 2: On Excellence of Epidemiologic Academia -- Index. 330 $aThis book delineates the fundamental transformations that, according to its precepts, are now needed in the objects and methods of ?patient-oriented? clinical research, in order to make it genuinely patient-relevant. These transformations are presented as providing for transition from today?s ?evidence-based? practices (advocated by ?clinical epidemiologists?) to knowledge-based succedanea of these. While those existing practices vary according to doctors? personal opinions about the burden of the available evidence, their knowledge-based succedanea will be essentially invariant across individual doctors, as they?ll be guided by ?expert systems? (imbedded in cyberspace). At issue in this is transformation in what the authors present as the very essence of clinical medicine, namely clinical doctors? esoteric ad-hoc knowing: ?gnosis.? This is clinical doctors? knowing ? probabilistic ? about relevant-but-hidden truths about their patients? health, and constitutes the basis for their teaching (?doctoring?) the patients about these esoteric insights. The probabilities are ?personalized? in the meaning of their specificity to the cases? gnostic profiles. Genuinely patient-relevant clinical knowledge this book presents as the requisite basis for three species of clinical doctors? gnosis: diagnosis ? knowing about whether a particular type of illness is present (though hidden) in the patient; etiognosis ? knowing about whether the patient?s illness was caused by a particular antecedent of it; and prognosis ? knowing about the patient?s future health, including as to its dependence on the choice of treatment. Pivotal in gnostic clinical research this book presents to be the studies? objects design in terms of a statistical model for the rate of occurrence of the entity of health in question, in a defined domain of case presentations. The essentials of the studies? methods designs are deduced from their objects designs. Study of this book ? on the theory of ?meta-epidemiological clinical research? ? is essential preparation for teaching ?patient-oriented? clinical research and for actual design & conduct of the studies and of their critical reviews. And by the same token, study of this book is essential preparation for the needed replacement of ?case-based learning? of clinical medicine, for suitably-learned teaching of the practice of clinical medicine ? focused on the status quo of the scientific knowledge-base for (gnoses in) the discipline (?specialty?) at issue. 606 $aMedicine 606 $aEpidemiology 606 $aPublic health 606 $aBiometry 606 $aStatistics 606 $aArtificial intelligence 606 $aBiomedicine, general$3https://scigraph.springernature.com/ontologies/product-market-codes/B0000X 606 $aEpidemiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H63000 606 $aPublic Health$3https://scigraph.springernature.com/ontologies/product-market-codes/H27002 606 $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020 606 $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aMedicine. 615 0$aEpidemiology. 615 0$aPublic health. 615 0$aBiometry. 615 0$aStatistics. 615 0$aArtificial intelligence. 615 14$aBiomedicine, general. 615 24$aEpidemiology. 615 24$aPublic Health. 615 24$aBiostatistics. 615 24$aStatistics for Life Sciences, Medicine, Health Sciences. 615 24$aArtificial Intelligence. 676 $a616.0072 676 $a610.72 700 $aMiettinen$b Olli S$4aut$4http://id.loc.gov/vocabulary/relators/aut$0963286 702 $aSteurer$b Johann$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHofman$b Albert$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349439903321 996 $aClinical Research Transformed$92184135 997 $aUNINA