LEADER 02170nam 2200577Ia 450 001 9910455853603321 005 20200520144314.0 010 $a0-8157-3233-3 035 $a(CKB)111087027973536 035 $a(OCoLC)614570337 035 $a(CaPaEBR)ebrary10063897 035 $a(SSID)ssj0000136541 035 $a(PQKBManifestationID)12053659 035 $a(PQKBTitleCode)TC0000136541 035 $a(PQKBWorkID)10082554 035 $a(PQKB)11122167 035 $a(MiAaPQ)EBC3004421 035 $a(OCoLC)1132226911 035 $a(MdBmJHUP)muse73281 035 $a(Au-PeEL)EBL3004421 035 $a(CaPaEBR)ebr10063897 035 $a(EXLCZ)99111087027973536 100 $a20041017d2002 my 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDemocracy by disclosure$b[electronic resource] $ethe rise of technopopulism /$fMary Graham 210 $aWashington, D.C. $cGovernance Institute/Brookings Institution Press$dc2002 215 $a1 online resource (215 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-8157-3234-1 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: 1 The Power of Publicity 1 2 Accounting for Toxic Pollution 21 3 Food Labeling to Reduce Disease 62 4 An Epidemic of Medical Errors 104 5 Disclosure as Social Policy 137 Appendix: The Architecture of Disclosure Systems 158. 606 $aDisclosure of information$xGovernment policy$zUnited States 606 $aDisclosure of information$xGovernment policy$zUnited States$xStates 607 $aUnited States$xSocial policy$y1980-1993 607 $aUnited States$xSocial policy$y1993- 608 $aElectronic books. 615 0$aDisclosure of information$xGovernment policy 615 0$aDisclosure of information$xGovernment policy$xStates. 676 $a361.6/1/0973 700 $aGraham$b Mary$f1944-$0923623 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910455853603321 996 $aDemocracy by disclosure$92072536 997 $aUNINA LEADER 03939nam 22007092 450 001 9910786730103321 005 20220504175400.0 010 $a1-107-06535-6 010 $a1-316-09031-0 010 $a1-107-05691-8 010 $a1-107-05475-3 010 $a1-107-05804-X 010 $a1-107-05931-3 010 $a1-139-34283-5 010 $a1-107-05581-4 035 $a(CKB)2670000000353352 035 $a(EBL)1182964 035 $a(OCoLC)843187582 035 $a(SSID)ssj0000871111 035 $a(PQKBManifestationID)11536628 035 $a(PQKBTitleCode)TC0000871111 035 $a(PQKBWorkID)10821174 035 $a(PQKB)11022344 035 $a(UkCbUP)CR9781139342834 035 $a(MiAaPQ)EBC1182964 035 $a(Au-PeEL)EBL1182964 035 $a(CaPaEBR)ebr10695368 035 $a(CaONFJC)MIL494695 035 $a(PPN)261294695 035 $a(EXLCZ)992670000000353352 100 $a20120306d2013|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied longitudinal data analysis for epidemiology$b[electronic resource] $ea practical guide /$fJos W.R 205 $aSecond edition. 210 1$aCambridge :$cCambridge University Press,$d2013. 215 $a1 online resource (xiv, 321 pages) $cdigital, PDF file(s) 225 0 $aCambridge medicine Applied longitudinal data analysis for epidemiology 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-107-69992-4 311 $a1-107-03003-X 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: Preface; Acknowledgements; 1. Introduction; 2. Study design; 3. Continuous outcome variables; 4. Continuous outcome variables - relationships with other variables; 5. The modelling of time; 6. Other possibilities for modelling longitudinal data; 7. Dichotomous outcome variables; 8. Categorical and 'count' outcome variables; 9. Analysis data from experimental studies; 10. Missing data in longitudinal studies; 11. Sample size calculations; 12. Software for longitudinal data analysis; 13. One step further; References; Index. 330 $aThis book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and categorical outcome variables. The emphasis of the discussion lies in the interpretation and comparison of the results of the different techniques. The second edition includes new chapters on the role of the time variable and presents new features of longitudinal data analysis. Explanations have been clarified where necessary and several chapters have been completely rewritten. The analysis of data from experimental studies and the problem of missing data in longitudinal studies are discussed. Finally, an extensive overview and comparison of different software packages is provided. This practical guide is essential for non-statisticians and researchers working with longitudinal data from epidemiological and clinical studies. 606 $aEpidemiology$xResearch$xStatistical methods 606 $aEpidemiology$vLongitudinal studies 606 $aEpidemiology$xStatistical methods 615 0$aEpidemiology$xResearch$xStatistical methods. 615 0$aEpidemiology 615 0$aEpidemiology$xStatistical methods. 676 $a614.4 686 $aMED028000$2bisacsh 700 $aTwisk$b Jos W. 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