00935nam0 22002411i 450 SUN001685820160304124719.43888-251-7214-10.0020040528d1997 |0itac50 baitaIT|||| |||||*Genetica applicata alle produzioni animaliGiulio PagnaccoMilanoCittàstudi1997 - 204 p. ; 24 cm.MilanoSUNL000284591.35Genetica animale22Pagnacco, GiulioSUNV01267878700CittàStudiSUNV003483650ITSOL20200504RICASUN0016858UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE17CONS Ga29 17DSV193 20040528 BuonoGenetica applicata alle produzioni animali410527UNICAMPANIA03710oam 2200769I 450 991063395220332120230110231740.01-000-21873-20-429-09620-81-4665-0753-59781466507524paper9781466507531ebook10.1201/b13902(CKB)2670000000333574(EBL)1128533(OCoLC)829461089(SSID)ssj0000832626(PQKBManifestationID)11442998(PQKBTitleCode)TC0000832626(PQKBWorkID)10899299(PQKB)10567408(MiAaPQ)EBC1128533(CaSebORM)9781466507531(OCoLC)827944838(EXLCZ)99267000000033357420180331d2013 uy 0engur|n|---|||||txtccrAge-period-cohort analysis new models, methods, and empirical applications /Yang Yang and Kenneth C. Land1st editionBoca Raton, Fla. :CRC Press,2013.1 online resource (339 p.)Chapman & Hall/CRC interdisciplinary statistics seriesA Chapman & Hall book.1-322-66825-6 1-4665-0752-7 Includes bibliographical references and index.1. Introduction -- 2. Why cohort analysis? -- 3. APC analysis of data from three common research designs -- 4. Formalities of the age-period-cohort analysis conundrum and a generalized linear mixed models (GLMM) framework -- 5. APC accounting/multiple classification model, part I : model identification and estimation using the intrinsic estimator -- 6. APC accounting/multiple classification model, part II : empirical applications -- 7. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part I : the basics -- 8. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part II : advanced analyses -- 9. Mixed effects models : hierarchical APC-growth curve analysis of prospective cohort data -- 10. Directions for future research and conclusion.Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors' collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables dInterdisciplinary statistics.Cohort analysisAge groupsStatistical methodsstatistical methodengEUROVOCdistribution by ageengEUROVOCsociologyengEUROVOCdata processingengEUROVOCCohort analysis.Age groupsStatistical methods.statistical method.distribution by age.sociology.data processing.001.42/2001.422300.727Yang Yang1975,1271162Land Kenneth C34144MiAaPQMiAaPQMiAaPQBOOK9910633952203321Age-period-cohort analysis2994542UNINA