LEADER 00795nam0-2200301---450- 001 990008372710403321 005 20140926100105.0 035 $a000837271 035 $aFED01000837271 035 $a(Aleph)000837271FED01 035 $a000837271 100 $a20060906d1967----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $a--------001yy 200 1 $aProspects for Peacekeeping$fArthur M. 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Prince 205 $a1st ed. 210 1$aToronto :$cUniversity of Toronto Press,$d[2017] 210 4$dİ2012 215 $a1 online resource (281 p.) 225 0 $aStudies in Comparative Political Economy and Public Policy 311 0 $a9781442642775 311 0 $a1442642777 311 0 $a9781442611542 311 0 $a1442611545 320 $aIncludes bibliographical references and index. 327 $aIntroduction: Three Realms of Biotechnology -- Part One: Analytical Framework and Historical Policy Context -- 1 The Canadian State, Networked Democracy, and Science-Based Governance -- 2 National and International Biotechnology Policy in Liberal and Conservative Government Eras -- Part Two: Empirical Analysis of the Changing Biotech Governance Regime -- 3 Science and Supportive Governance -- 4 The Bio-Food Realm: Business-Dominated Pluralistic Power -- 5 The Bio-Health Realm: Networked Power and Governance -- 6 The Bio-Life Realm: Playing Catchup with Self-Disciplined Power Relations -- 7 Power, Changing Biotech Governance, and Extending Democracy. 330 $aThree Bio-Realms provides the first integrated examination of the thirty-year story of the democratic governance of biotechnology in Canada. 410 0$aStudies in comparative political economy and public policy. 606 $aBiotechnology$xGovernment policy$zCanada$xHistory 606 $aBiotechnology$xGovernment policy$zCanada 606 $aBiotechnology$zCanada 607 $aCanada$2fast 615 0$aBiotechnology$xGovernment policy$xHistory. 615 0$aBiotechnology$xGovernment policy 615 0$aBiotechnology 676 $a338.4/766060971 700 $aDoern$b G.Bruce$01804827 701 $aPrince$b Michael J$0311264 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a9910966757703321 996 $aThree Bio-Realms$94353065 997 $aUNINA LEADER 03051oam 2200673I 450 001 9910957452703321 005 20251117094831.0 010 $a0-429-09433-7 010 $a1-280-12190-4 010 $a9786613525765 010 $a1-4398-3543-8 024 7 $a10.1201/b11311 035 $a(CKB)2550000000079048 035 $a(EBL)830223 035 $a(OCoLC)773034860 035 $a(SSID)ssj0000580660 035 $a(PQKBManifestationID)11385063 035 $a(PQKBTitleCode)TC0000580660 035 $a(PQKBWorkID)10606643 035 $a(PQKB)10310743 035 $a(MiAaPQ)EBC830223 035 $a(Au-PeEL)EBL830223 035 $a(CaPaEBR)ebr10522550 035 $a(CaONFJC)MIL352576 035 $a(OCoLC)755056532 035 $a(FINmELB)ELB158188 035 $a(EXLCZ)992550000000079048 100 $a20180331d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDynamic prediction in clinical survival analysis /$fHans van Houwelingen, Hein Putter 205 $a1st ed. 210 $aBoca Raton, Fla. $cCRC Press$d2012 210 1$aBoca Raton :$cCRC Press,$d2012. 215 $a1 online resource (250 p.) 225 1 $aMonographs on statistics and applied probability ;$v123 300 $a"A Chapman & Hall book." 311 08$a1-4398-3533-0 320 $aIncludes bibliographical references. 327 $aThe special nature of survival data -- Cox regression model -- Measuring the predictive value of a Cox model -- Calibration and revision of Cox models -- Mechanisms explaining violation of the Cox model -- Non-proportional hazards models -- Dealing with non-proportional hazards -- Dynamic predictions using biomarkers -- Dynamic prediction in multi-state models -- Dynamic prediction in chronic disease -- Penalized Cox models -- Dynamic prediction based on genomic data. 330 $aIn the last twenty years, dynamic prediction models have been extensively used to monitor patient prognosis in survival analysis. Written by one of the pioneers in the area, this book synthesizes these developments in a unified framework. It covers a range of models, including prognostic and dynamic prediction of survival using genomic data and time-dependent information. The text includes numerous examples using real data that is taken from the authors collaborative research. R programs are provided for implementing the methods--Provided by publisher. 410 0$aMonographs on statistics and applied probability ;$v123. 606 $aProportional hazards models 606 $aSurvival analysis (Biometry) 615 0$aProportional hazards models. 615 0$aSurvival analysis (Biometry) 676 $a615.580724 700 $aHouwelingen$b J. C. van.$01873039 701 $aPutter$b Hein$01873040 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910957452703321 996 $aDynamic prediction in clinical survival analysis$94482955 997 $aUNINA