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1. |
Record Nr. |
UNINA9910484627203321 |
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Autore |
Gordon Derek |
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Titolo |
Heterogeneity in statistical genetics : how to assess, address, and account for mixtures in association studies / / Derek Gordon, Stephen J. Finch, Wonkuk Kim |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2020] |
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©2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XX, 352 p. 41 illus., 26 illus. in color.) |
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Collana |
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Statistics for Biology and Health, , 1431-8776 |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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2. |
Record Nr. |
UNINA9910254807103321 |
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Titolo |
After-School Programs to Promote Positive Youth Development : Learning from Specific Models, Volume 2 / / edited by Nancy L. Deutsch |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (85 pages) : illustrations |
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Collana |
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Advances in Child and Family Policy and Practice, , 2625-2546 |
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Disciplina |
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Soggetti |
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Child psychology |
School psychology |
Families |
Families—Social aspects |
Public health |
Child and School Psychology |
Family |
Public Health |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Executive Summary: Overview of Brief and Recommendations for Practice and Policy -- Chapter 1. Summer Learning Programs: Investigating Strengths and Challenges -- Chapter 2. Universal Challenges, Specific Contexts: Insights from Looking Within and Across Different After-School Settings -- Chapter 3. Specialized After-School Programs: Five Case Studies. . |
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Sommario/riassunto |
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The second volume of this SpringerBrief presents a series of papers compiled from a conference addressing how after-school programs can promote positive youth development (PYD) hosted by Youth-Nex, the University of Virginia Center to Promote Effective Youth Development. It examines summer learning and best practices for different types of |
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after-school programs by drawing on the experiences of researchers, program staff, and youth participants. It also presents case studies of five specialized programs and discusses their strengths, limitations, and challenges. In addition, the brief offers recommendations drawn from across the two volumes for how researchers, policy makers, and practitioners can move the field forward and maximize the potential of after-school time and programs to promote positive youth development for children and adolescents. Featured case studies of specialized after-school programs include: Richmond, Virginia’s ROSMY. The Clubhouse: Where Technology Meets Imagination. The Young Women Leaders Program (YWLP). Whatever It Takes (WIT) Program. UTEC of Lowell, Massachusetts. After-School Programs to Promote Positive Youth Development, Volume 2, is a must-have resource for policy makers and related professionals, graduate students, and researchers in child and school psychology, family studies, public health, social work, law/criminal justice, and sociology. . |
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