1 resultado para Two-Phase Start-up Demonstration Test
em Collection Of Biostatistics Research Archive
Filtro por publicador
- JISC Information Environment Repository (1)
- Repository Napier (1)
- Academic Research Repository at Institute of Developing Economies (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (9)
- Aquatic Commons (4)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (5)
- Archive of European Integration (5)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (7)
- Aston University Research Archive (39)
- Biblioteca de Teses e Dissertações da USP (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (15)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (19)
- Boston University Digital Common (2)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (3)
- Cambridge University Engineering Department Publications Database (39)
- CentAUR: Central Archive University of Reading - UK (15)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (108)
- Cochin University of Science & Technology (CUSAT), India (4)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (3)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (8)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (5)
- Digital Commons at Florida International University (12)
- Digital Repository at Iowa State University (1)
- DigitalCommons@The Texas Medical Center (3)
- DigitalCommons@University of Nebraska - Lincoln (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (3)
- DRUM (Digital Repository at the University of Maryland) (3)
- Duke University (2)
- Earth Simulator Research Results Repository (4)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Greenwich Academic Literature Archive - UK (9)
- Harvard University (2)
- Helda - Digital Repository of University of Helsinki (16)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (137)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Politécnico de Leiria (1)
- Instituto Politécnico de Santarém (1)
- Instituto Politécnico do Porto, Portugal (6)
- Massachusetts Institute of Technology (1)
- National Aerospace Laboratory (NLR) Reports Repository (1)
- National Center for Biotechnology Information - NCBI (6)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (16)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (32)
- Queensland University of Technology - ePrints Archive (133)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- Repositório Científico do Instituto Politécnico de Santarém - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (7)
- Repositório Institucional da Universidade de Aveiro - Portugal (4)
- Repositório Institucional da Universidade de Brasília (1)
- Repositorio Institucional del Centro Atomico Bariloche y el Instituto Balseiro (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (75)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- RICABIB: Repositorio Institucional del Centro Atomico Bariloche e Instituto Balseiro - Argentina (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- School of Medicine, Washington University, United States (3)
- Universidad del Rosario, Colombia (5)
- Universidad Politécnica de Madrid (18)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (6)
- Universidade Federal do Rio Grande do Norte (UFRN) (5)
- Universidade Metodista de São Paulo (2)
- Universita di Parma (1)
- Universitat de Girona, Spain (2)
- Université de Lausanne, Switzerland (4)
- Université de Montréal, Canada (5)
- Université Laval Mémoires et thèses électroniques (3)
- University of Connecticut - USA (3)
- University of Michigan (12)
- University of Queensland eSpace - Australia (12)
- University of Southampton, United Kingdom (1)
Resumo:
Outcome-dependent, two-phase sampling designs can dramatically reduce the costs of observational studies by judicious selection of the most informative subjects for purposes of detailed covariate measurement. Here we derive asymptotic information bounds and the form of the efficient score and influence functions for the semiparametric regression models studied by Lawless, Kalbfleisch, and Wild (1999) under two-phase sampling designs. We show that the maximum likelihood estimators for both the parametric and nonparametric parts of the model are asymptotically normal and efficient. The efficient influence function for the parametric part aggress with the more general information bound calculations of Robins, Hsieh, and Newey (1995). By verifying the conditions of Murphy and Van der Vaart (2000) for a least favorable parametric submodel, we provide asymptotic justification for statistical inference based on profile likelihood.