LEADER 02553nam 2200529 450 001 9910822413003321 005 20230421051239.0 010 $a0-19-165091-9 010 $a0-19-165090-0 035 $a(CKB)2550000001126220 035 $a(StDuBDS)AH24969302 035 $a(MiAaPQ)EBC1132332 035 $a(Au-PeEL)EBL1132332 035 $a(CaPaEBR)ebr10774711 035 $a(CaONFJC)MIL526883 035 $a(OCoLC)830169008 035 $a(MiAaPQ)EBC7033778 035 $a(Au-PeEL)EBL7033778 035 $a(EXLCZ)992550000001126220 100 $a19930402h19931993 uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aStatistical models in epidemiology /$fDavid Clayton and Michael Hills 210 1$aOxford ;$aNew York :$cOxford University Press,$d[1993] 210 4$dİ1993 215 $a1 online resource (384 p. ) $cill 300 $aIncludes index. 311 $a0-19-967118-4 311 $a1-299-95632-7 320 $aIncludes bibliographical references (pages [346]-347) and index. 330 $aThis self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. No previous knowledge of the subject is assumed and mathematics is deliberately kept at a manageable level. 330 $bThis self-contained account of the statistical basis of epidemiology has been written specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. The authors show how all statistical analysis of data is based on probability models, and once one understands the model, analysis follows easily.In showing how to use models in epidemiology the authors have chosen to emphasize the role of likelihood, an approach to statistics which is both simple and intuitively satisfying. More complex problems can then be tackled by natural extensions of the simple methods. Based on a highly successful course, this book explains the essential statistics for all epidemiologists. 606 $aEpidemiology$xStatistical methods 615 0$aEpidemiology$xStatistical methods. 676 $a614.4/072 700 $aClayton$b David$f1944-$01638266 701 $aHills$b Michael$0104877 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822413003321 996 $aStatistical models in epidemiology$93980555 997 $aUNINA