LEADER 00917nas 2200277 a 450 001 9910301689603321 005 20240413013411.0 011 $a2419-9648 035 $a(CKB)1000000000273222 035 $a(CONSER)sn 87019028 035 $a(EXLCZ)991000000000273222 100 $a19811210b18631870 uy b 101 0 $afre 200 00$aRevue des cours scientifiques de la France et de l'e?tranger 210 $aParis $cGermer Baillie?re$d[1863-1870] 215 $a1 online resource 300 $aTitle from caption. 311 08$aPrint version: Revue des cours scientifiques de la France et de l'e?tranger. 0991-6938 (DLC)sn 87019028 (OCoLC)7987784 606 $aScience$vPeriodicals 615 0$aScience 676 $a505 906 $aJOURNAL 912 $a9910301689603321 920 $aexl_impl conversion 996 $aRevue des cours scientifiques de la France et de l'etranger$9787939 997 $aUNINA LEADER 03585nam 22006855 450 001 9910300159803321 005 20250609111431.0 010 $a1-4939-0005-6 024 7 $a10.1007/978-1-4939-0005-3 035 $a(CKB)2550000001198182 035 $a(EBL)1697700 035 $a(OCoLC)871283156 035 $a(SSID)ssj0001185348 035 $a(PQKBManifestationID)11655303 035 $a(PQKBTitleCode)TC0001185348 035 $a(PQKBWorkID)11196904 035 $a(PQKB)11191744 035 $a(MiAaPQ)EBC1697700 035 $a(DE-He213)978-1-4939-0005-3 035 $z(PPN)258852437 035 $a(PPN)176101810 035 $a(MiAaPQ)EBC4976252 035 $a(EXLCZ)992550000001198182 100 $a20140120d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical inference on residual life /$fby Jong-Hyeon Jeong 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (208 p.) 225 1 $aStatistics for Biology and Health,$x1431-8776 300 $aDescription based upon print version of record. 311 08$a1-4939-0004-8 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Inference on Mean Residual Life -- Quantile Residual Life -- Quantile Residual Life under Competing Risks -- Other Methods for Inference on Quantiles -- Study Design based on Quantile (Residual) Life -- Appendix: R codes -- References -- Index. 330 $aThis is a monograph on the concept of residual life, which is an alternative summary measure of time-to-event data, or survival data. The mean residual life has been used for many years under the name of life expectancy, so it is a natural concept for summarizing survival or reliability data. It is also more interpretable than the popular hazard function, especially for communications between patients and physicians regarding the efficacy of a new drug in the medical field. This book reviews existing statistical methods to infer the residual life distribution. The review and comparison includes existing inference methods for mean and median, or quantile, residual life analysis through medical data examples. The concept of the residual life is also extended to competing risks analysis. The targeted audience includes biostatisticians, graduate students, and PhD (bio)statisticians. Knowledge in survival analysis at an introductory graduate level is advisable prior to reading this book. 410 0$aStatistics for Biology and Health,$x1431-8776 606 $aStatistics 606 $aBiometry 606 $aEpidemiology 606 $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030 606 $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020 606 $aEpidemiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H63000 615 0$aStatistics. 615 0$aBiometry. 615 0$aEpidemiology. 615 14$aStatistics for Life Sciences, Medicine, Health Sciences. 615 24$aBiostatistics. 615 24$aEpidemiology. 676 $a519.2/2 676 $a519.22 676 $a519.5 700 $aJeong$b Jong-Hyeon$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721702 906 $aBOOK 912 $a9910300159803321 996 $aStatistical inference on residual life$91410716 997 $aUNINA