1.

Record Nr.

UNISANNIOBVEE012041

Autore

Aelianus, Claudius

Titolo

ÂAilianou ÂPoikilēs Istorias, biblia, ID'. Ek tou Hērakleidou peri politeiōn hypomnēma: Polemōn to Phisiognōmonikōn encheiridiou: Adamantiou Sophistou phisiognōmonikōn, biblia b'. Melampodos peri Palmōn mantikē: peri Elaiōn tou sōmatos. Aeliani variae Historiae libri, 14. Ex Heraclide de rebus publicis Commentarium. Polemonis Physionomia. Adamantii Physionomia. Melampodis ex palpitationibus diuinatio. De Neuis

Pubbl/distr/stampa

En Rōmē : \Antonio Blado!, 1545, mēni gameliōni \15 I-15 II! ( (Romae) : \Antonio Blado!, 1545 mense Ianuario

Titolo uniforme

Physiognomica

Descrizione fisica

\4!, 111, \13! c. ; 4º

Collocazione

BUZ.B.      0479

Lingua di pubblicazione

Greco antico

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

A cura di Camillus Peruscus, il cui nome figura nella pref

Altro colophon in greco a c. Δ4r

Marca (V192) sul front. e in fine

Cors. ; gr. ; rom

Segn.: \ast!⁴α-ω⁴Α-Δ⁴1-3⁴



2.

Record Nr.

UNISA996418195303316

Autore

Gordon Derek

Titolo

Heterogeneity in statistical genetics : how to assess, address, and account for mixtures in association studies / / Derek Gordon, Stephen J. Finch, Wonkuk Kim

Pubbl/distr/stampa

Cham, Switzerland : , : Springer, , [2020]

©2020

ISBN

3-030-61121-3

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (XX, 352 p. 41 illus., 26 illus. in color.)

Collana

Statistics for Biology and Health, , 1431-8776

Disciplina

572.80727

Soggetti

Statistics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

1. Introduction to heterogeneity in statistical genetics -- 2. Overview of genomic heterogeneity in statistical genetics -- 3. Phenotypic heterogeneity -- 4. Association tests allowing for heterogeneity -- 5. Designing genetic linkage and association studies that maintain desired statistical power in the presence of mixtures -- 6. Threshold-selected quantitative trait loci and pleiotropy -- Index.

Sommario/riassunto

Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phenomenon. In this book, we document methods that incorporate heterogeneity into the design and analysis of genetic and genomic association data. Among the key qualities of our developed statistics is that they include mixture parameters as part of the statistic, a unique component for tests of association. A critical feature of this work is the inclusion of at least one heterogeneity parameter when performing statistical power and sample size calculations for tests of genetic association. We anticipate that this book will be useful to researchers who want to estimate heterogeneity in their data, develop or apply genetic association statistics where heterogeneity exists, and accurately evaluate statistical power and sample size for genetic association through the application of robust experimental



design.