1 resultado para non-ideal power sources
em Collection Of Biostatistics Research Archive
Filtro por publicador
- Academic Archive On-line (Stockholm University; Sweden) (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (27)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (11)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (7)
- Archive of European Integration (3)
- Aston University Research Archive (12)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (24)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (52)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (12)
- Brock University, Canada (11)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CaltechTHESIS (2)
- CentAUR: Central Archive University of Reading - UK (56)
- Central European University - Research Support Scheme (1)
- Cochin University of Science & Technology (CUSAT), India (14)
- Coffee Science - Universidade Federal de Lavras (2)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (4)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (26)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (2)
- Digital Commons - Michigan Tech (4)
- Digital Commons at Florida International University (9)
- Digital Repository at Iowa State University (2)
- DigitalCommons@The Texas Medical Center (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (45)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (1)
- Galway Mayo Institute of Technology, Ireland (1)
- Glasgow Theses Service (1)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (7)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico do Porto, Portugal (39)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (3)
- National Center for Biotechnology Information - NCBI (1)
- Publishing Network for Geoscientific & Environmental Data (2)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (4)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- Repositório Científico da Universidade de Évora - Portugal (3)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (17)
- Repositório digital da Fundação Getúlio Vargas - FGV (4)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (250)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (14)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scielo Saúde Pública - SP (21)
- Universidad de Alicante (6)
- Universidad del Rosario, Colombia (10)
- Universidad Politécnica de Madrid (16)
- Universidade Complutense de Madrid (1)
- Universidade do Minho (15)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (4)
- Universidade Federal do Rio Grande do Norte (UFRN) (10)
- Universidade Técnica de Lisboa (1)
- Universita di Parma (1)
- Universitat de Girona, Spain (5)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (38)
- Université de Montréal, Canada (42)
- Université Laval Mémoires et thèses électroniques (2)
- University of Michigan (13)
- University of Queensland eSpace - Australia (22)
- WestminsterResearch - UK (1)
Resumo:
There are numerous statistical methods for quantitative trait linkage analysis in human studies. An ideal such method would have high power to detect genetic loci contributing to the trait, would be robust to non-normality in the phenotype distribution, would be appropriate for general pedigrees, would allow the incorporation of environmental covariates, and would be appropriate in the presence of selective sampling. We recently described a general framework for quantitative trait linkage analysis, based on generalized estimating equations, for which many current methods are special cases. This procedure is appropriate for general pedigrees and easily accommodates environmental covariates. In this paper, we use computer simulations to investigate the power robustness of a variety of linkage test statistics built upon our general framework. We also propose two novel test statistics that take account of higher moments of the phenotype distribution, in order to accommodate non-normality. These new linkage tests are shown to have high power and to be robust to non-normality. While we have not yet examined the performance of our procedures in the context of selective sampling via computer simulations, the proposed tests satisfy all of the other qualities of an ideal quantitative trait linkage analysis method.