LEADER 04201nam  22006855  450 
001 996418271003316
005 20200701090609.0
010   $a3-030-37693-1
024 7 $a10.1007/978-3-030-37693-2
035   $a(CKB)4100000010661139
035   $a(DE-He213)978-3-030-37693-2
035   $a(MiAaPQ)EBC6134238
035   $a(PPN)243227558
035   $a(EXLCZ)994100000010661139
100   $a20200314d2020      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aStatistics in Clinical and Observational Vaccine Studies$b[electronic resource] /$fby Jozef Nauta
205   $a2nd ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource
225 1 $aSpringer Series in Pharmaceutical Statistics,$x2366-8695
311   $a3-030-37692-3 
327   $a1.The Interplay Between Microorganisms and the Immune System -- 2. Analysis of Immunogenicity Data -- 3. Vaccine Field Studies -- 4. Correlates of Protection -- 5. Analysis of Vaccine Safety Data.
330   $aThis book offers an overview of the statistical methods used in clinical and observational vaccine studies. Pursuing a practical rather than theoretical approach, it presents a range of real-world examples with SAS codes, making the application of the methods straightforward. This revised edition has been significantly expanded to reflect the current interest in this area. It opens with two introductory chapters on the immunology of vaccines to provide readers with the necessary background knowledge. It then continues with an in-depth exploration of the analysis of immunogenicity data. Discussed are, amongst others, maximum likelihood estimation for censored antibody titers, ANCOVA for antibody values, analysis of data of equivalence, and non-inferiority immunogenicity studies. Other topics covered include fitting protection curves to data from vaccine efficacy studies, and the analysis of vaccine safety data. In addition, the book features four new chapters on vaccine field studies: an introductory one, one on randomized vaccine efficacy studies, one on observational vaccine effectiveness studies, and one on the meta-analysis of vaccine efficacy studies. The book offers useful insights for statisticians and epidemiologists working in the pharmaceutical industry or at vaccines institutes, as well as graduate students interested in pharmaceutical statistics.
410  0$aSpringer Series in Pharmaceutical Statistics,$x2366-8695
606   $aStatistics 
606   $aVaccines
606   $aBiostatistics
606   $aPharmaceutical technology
606   $aImmunology
606   $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030
606   $aVaccine$3https://scigraph.springernature.com/ontologies/product-market-codes/B16010
606   $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020
606   $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001
606   $aPharmaceutical Sciences/Technology$3https://scigraph.springernature.com/ontologies/product-market-codes/B21010
606   $aImmunology$3https://scigraph.springernature.com/ontologies/product-market-codes/B14000
615  0$aStatistics .
615  0$aVaccines.
615  0$aBiostatistics.
615  0$aPharmaceutical technology.
615  0$aImmunology.
615 14$aStatistics for Life Sciences, Medicine, Health Sciences.
615 24$aVaccine.
615 24$aBiostatistics.
615 24$aStatistical Theory and Methods.
615 24$aPharmaceutical Sciences/Technology.
615 24$aImmunology.
676   $a615.372
700   $aNauta$b Jozef$4aut$4http://id.loc.gov/vocabulary/relators/aut$01017960
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996418271003316
996   $aStatistics in Clinical and Observational Vaccine Studies$92391157
997   $aUNISA