LEADER 02384nam 2200637Ia 450 001 9910456014703321 005 20200520144314.0 010 $a0-19-756138-1 010 $a1-280-83105-7 010 $a0-19-974778-4 035 $a(CKB)2450000000001821 035 $a(SSID)ssj0000299673 035 $a(PQKBManifestationID)11254069 035 $a(PQKBTitleCode)TC0000299673 035 $a(PQKBWorkID)10243158 035 $a(PQKB)11576149 035 $a(MiAaPQ)EBC3053624 035 $a(StDuBDS)EDZ0002351120 035 $a(Au-PeEL)EBL3053624 035 $a(CaPaEBR)ebr10375104 035 $a(CaONFJC)MIL83105 035 $a(OCoLC)253007374 035 $a(EXLCZ)992450000000001821 100 $a20001027d2001 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aInformed consent$b[electronic resource] $elegal theory and clinical practice /$fJessica W. Berg ... [et al.] 205 $a2nd ed. 210 $aOxford ;$aNew York $cOxford University Press$d2001 215 $axii, 340 p 225 1 $aOxford scholarship online 300 $aRev. ed. of: Informed consent / Appelbaum, Paul S. 1987. 311 $a0-19-512677-7 320 $aIncludes bibliographical references and index. 330 8 $aInformed consent - as an ethical ideal and legal doctrine - has been the source of much concern to clinicians. Drawing on a diverse set of backgrounds and two decades of research in clinical settings, the authors - a lawyer, a physician, a social scientist and a philosopher - help clinicians understand and cope with their legal obligations and show how the proper handling of informed consent can improve, rather than impede, patient care. 410 0$aOxford scholarship online. 606 $aInformed consent (Medical law)$zUnited States 606 $aMedical ethics$zUnited States 606 $aPhysician and patient$zUnited States 608 $aElectronic books. 615 0$aInformed consent (Medical law) 615 0$aMedical ethics 615 0$aPhysician and patient 676 $a344.73/0412 701 $aBerg$b Jessica W$0891798 701 $aAppelbaum$b Paul S$0891799 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456014703321 996 $aInformed consent$91991702 997 $aUNINA LEADER 01256nam 2200373 n 450 001 996385456503316 005 20221108091316.0 035 $a(CKB)1000000000605071 035 $a(EEBO)2240915815 035 $a(UnM)99865340 035 $a(EXLCZ)991000000000605071 100 $a19940202d1649 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 12$aA sermon shewing the meanes how we may escape the damnation of Hell$b[electronic resource] /$fTo which end it was preached and is published by N.B 210 $aLondon $cPrinted for Rich: Royston at the Angel in Ivie-lane$dM. DC. XL. XI. [1651, i.e. 1649] 215 $a[2], 21, [1] p 300 $aN. B. = N. Basely. 300 $aDated at end: 1649. 300 $aAnnotation on Thomason copy: "Nou. 9". 300 $aReproduction of the original in the British Library. 330 $aeebo-0018 606 $aSermons, English$y17th century 615 0$aSermons, English 700 $aBasely$b N$01020253 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bUk-ES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996385456503316 996 $aA sermon shewing the meanes how we may escape the damnation of Hell$92410728 997 $aUNISA LEADER 02582nam0 2200541 i 450 001 VAN00115445 005 20240806100754.69 017 70$2N$a978-3-319-28725-6 100 $a20180309d2016 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aTime series analysis and forecasting$eselected contributions from the ITISE conference$fIgnacio Rojas, Héctor Pomares editors 210 $a[Cham]$cSpringer$d2016 215 $aXIX, 384 p.$cill.$d24 cm 410 1$1001VAN00103344$12001 $aContributions to Statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN00243259$aTime series analysis and forecasting. Selected contributions from the ITISE conference$91131300 606 $a37-XX$xDynamical systems and ergodic theory [MSC 2020]$3VANC020363$2MF 606 $a37M10$xTime series analysis of dynamical systems [MSC 2020]$3VANC023406$2MF 606 $a58-XX$xGlobal analysis, analysis on manifolds [MSC 2020]$3VANC019758$2MF 606 $a60-XX$xProbability theory and stochastic processes [MSC 2020]$3VANC020428$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62M10$xTime series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]$3VANC025079$2MF 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 610 $aApplications in Industry$9KW:K 610 $aApplications in computer science$9KW:K 610 $aApplications in econometrics$9KW:K 610 $aBig Data$9KW:K 610 $aForecasting$9KW:K 610 $aHigh-Dimensional Data$9KW:K 610 $aMachine learning$9KW:K 610 $aOn-line learning$9KW:K 610 $aReal-life problems$9KW:K 610 $aStatistical methods for time series$9KW:K 610 $aTime Series Analysis$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aPomares$bHéctor$3VANV089363 702 1$aRojas$bIgnacio$3VANV089362 712 12$aInternational Work-Conference on Time Series$f2015$eGranada, Spain$3VANV089364 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240906$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-28725-6$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$2VAN15 912 $fN 912 $aVAN00115445 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 2565 $e15EB 2565 20180309 996 $aTime series analysis and forecasting$91131300 997 $aUNICAMPANIA