LEADER 04468nam 2200805 450 001 9910455092703321 005 20200520144314.0 010 $a1-4426-1669-5 010 $a1-4426-8440-2 024 7 $a10.3138/9781442684409 035 $a(CKB)1000000000765209 035 $a(OCoLC)311308371 035 $a(CaPaEBR)ebrary10269881 035 $a(SSID)ssj0000280190 035 $a(PQKBManifestationID)12112992 035 $a(PQKBTitleCode)TC0000280190 035 $a(PQKBWorkID)10268176 035 $a(PQKB)10352437 035 $a(SSID)ssj0001141224 035 $a(PQKBManifestationID)12447036 035 $a(PQKBTitleCode)TC0001141224 035 $a(PQKBWorkID)11090524 035 $a(PQKB)10689669 035 $a(CaBNvSL)slc00222083 035 $a(CaPaEBR)424282 035 $a(MiAaPQ)EBC3261293 035 $a(MiAaPQ)EBC4672328 035 $a(DE-B1597)465152 035 $a(OCoLC)979743336 035 $a(DE-B1597)9781442684409 035 $a(Au-PeEL)EBL4672328 035 $a(CaPaEBR)ebr11257998 035 $a(OCoLC)568372096 035 $a(EXLCZ)991000000000765209 100 $a20160923h20072007 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHealth inequality $emorality and measurement /$fYukiko Asada 210 1$aToronto, [Ontario] ;$aBuffalo, [New York] ;$aLondon, [England] :$cUniversity of Toronto Press,$d2007. 210 4$d©2007 215 $a1 online resource (311 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-4426-2610-0 311 $a0-8020-9244-6 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tContents -- $tFigures and Tables -- $tAcknowledgments -- $t1. Introduction -- $tPart I. Framework -- $t2. Which Health Distributions Are Inequitable? -- $t3. What Measurement Choices Must Be Faced to Measure Health Inequity? -- $t4. How Can a Health Distribution Be Summarized into One Number? -- $tPart II. Empirical Illustration -- $t5. Bridging Concepts And Analysis -- $t6. Did Health Equity Improve In The United States Between 1990 And 1995? -- $t7. Conclusion -- $tAppendix -- $tAppendix A: Five Popular Health Inequality Measures -- $tAppendix B: Intermediate Inequality in the Who Health Inequality Index -- $tAppendix C: The Dead Imputation -- $tAppendix D: The Gini Coefficient -- $tAppendix E: The Foster-Greer-Thorbecke (FGT) Measure -- $tAppendix F: Adjustment of Household Income for Family Size and Structure -- $tNotes -- $tReferences -- $tIndex 330 $aIn the last decade, there has been an explosion of academic interest in health inequality. Although it is seldom stated explicitly, research into this area is inexorably tied to questions of morality and ethics. In this study, Yukiko Asada seeks to acknowledge the role that morality and theories of justice play in health inequality research, and to articulate the moral philosophy underlying this field of inquiry.Comprised of two distinct parts, Health Inequality first proposes a framework for measuring health inequality reflecting moral concern, then goes on to show how this framework can be applied to quantitative study. Using a specific time period as a case study, Asada questions whether or not health equity improved in the United States between 1990 and 1995. She suggests that the question of whether, and by how much, health inequity changed in the United States is dependent on the morality and accompanying empirical strategy used in the analysis.A unique blend of philosophy and quantitative research, Health Inequality will prove a valuable tool for academics and policymakers alike. 606 $aEquality$xHealth aspects 606 $aPublic health$xMoral and ethical aspects 606 $aPublic health$xSocial aspects 606 $aHealth services accessibility 606 $aEquality$xHealth aspects$zUnited States 608 $aElectronic books. 615 0$aEquality$xHealth aspects. 615 0$aPublic health$xMoral and ethical aspects. 615 0$aPublic health$xSocial aspects. 615 0$aHealth services accessibility. 615 0$aEquality$xHealth aspects 676 $a362.1/042 700 $aAsada$b Yukiko$0906433 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910455092703321 996 $aHealth inequality$92027081 997 $aUNINA LEADER 01738nam 2200565 a 450 001 9910830767803321 005 20231023194325.0 010 $a1-280-36622-2 010 $a9786610366224 010 $a0-470-35240-X 010 $a0-471-45855-4 010 $a0-471-45854-6 035 $a(CKB)111087027121372 035 $a(EBL)159826 035 $a(SSID)ssj0000251092 035 $a(PQKBManifestationID)11204081 035 $a(PQKBTitleCode)TC0000251092 035 $a(PQKBWorkID)10247732 035 $a(PQKB)10720035 035 $a(MiAaPQ)EBC159826 035 $a(PPN)243287739 035 $a(OCoLC)85820134 035 $a(EXLCZ)99111087027121372 100 $a20020627d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical methods for survival data analysis /$fElisa T. Lee and John Wenyu Wang 205 $a3rd ed. 210 $aNew York $cJ. Wiley$dc2003 215 $a1 recurso en línea (527 páginas) 225 1 $aWiley series in probability and statistics 311 $a0-471-36997-7 320 $aÍndice. Bibliografía 410 0$aWiley series in probability and statistics 606 $aMedicina$xInvestigación$xMétodos estadísticos$2UDCAM 606 $aCiencias de la salud$xEstadísticas$2UDCAM 615 17$aMedicina$xInvestigación$xMétodos estadísticos 615 17$aCiencias de la salud$xEstadísticas 700 $aLee$b Elisa T$012482 701 $aWang$b John Wenyu$0513348 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830767803321 996 $aStatistical methods for survival data analysis$9761692 997 $aUNINA