1 resultado para quasi-least squares
Filtro por publicador
- Academic Archive On-line (Mid Sweden University; Sweden) (1)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (4)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (6)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (6)
- Archive of European Integration (1)
- Aston University Research Archive (24)
- Biblioteca de Teses e Dissertações da USP (9)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (21)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (48)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (3)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (28)
- Brock University, Canada (8)
- Bucknell University Digital Commons - Pensilvania - USA (5)
- Bulgarian Digital Mathematics Library at IMI-BAS (4)
- CentAUR: Central Archive University of Reading - UK (132)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (2)
- Cochin University of Science & Technology (CUSAT), India (3)
- Collection Of Biostatistics Research Archive (4)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (3)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (25)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (3)
- CUNY Academic Works (1)
- Digital Commons - Michigan Tech (6)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Peer Publishing (2)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (15)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (21)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Instituto Politécnico do Porto, Portugal (10)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (4)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Massachusetts Institute of Technology (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (6)
- Nottingham eTheses (1)
- Portal do Conhecimento - Ministerio do Ensino Superior Ciencia e Inovacao, Cape Verde (1)
- Publishing Network for Geoscientific & Environmental Data (23)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (1)
- Repositório Aberto da Universidade Aberta de Portugal (1)
- Repositorio Academico Digital UANL (1)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (7)
- Repositório da Produção Científica e Intelectual da Unicamp (8)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (30)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Digital da Universidade Municipal de São Caetano do Sul - USCS (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (150)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (14)
- Scielo Saúde Pública - SP (53)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (4)
- Universidad de Alicante (6)
- Universidad del Rosario, Colombia (7)
- Universidad Politécnica de Madrid (37)
- Universidade do Minho (1)
- Universidade dos Açores - Portugal (1)
- Universidade Federal do Pará (17)
- Universidade Federal do Rio Grande do Norte (UFRN) (19)
- Universidade Metodista de São Paulo (12)
- Universidade Técnica de Lisboa (2)
- Universitat de Girona, Spain (4)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Lausanne, Switzerland (28)
- Université de Montréal, Canada (16)
- University of Connecticut - USA (3)
- University of Michigan (11)
- University of Queensland eSpace - Australia (25)
- University of Washington (2)
Resumo:
To determine whether the slope of a maximal bronchial challenge test (in which FEV1 falls by over 50%) could be extrapolated from a standard bronchial challenge test (in which FEV1 falls up to 20%), 14 asthmatic children performed a single maximal bronchial challenge test with methacholin(dose range: 0.097–30.08 umol) by the dosimeter method. Maximal dose-response curves were included according to the following criteria: (1) at least one more dose beyond a FEV1 ù 20%; and (2) a MFEV1 ù 50%. PD20 FEV1 was calculated, and the slopes of the early part of the dose-response curve (standard dose-response slopes) and of the entire curve (maximal dose-response slopes) were calculated by two methods: the two-point slope (DRR) and the least squares method (LSS) in % FEV1 × umol−1. Maximal dose-response slopes were compared with the corresponding standard dose-response slopes by a paired Student’s t test after logarithmic transformation of the data; the goodness of fit of the LSS was also determined. Maximal dose-response slopes were significantly different (p < 0.0001) from those calculated on the early part of the curve: DRR20% (91.2 ± 2.7 FEV1% z umol−1)was 2.88 times higher than DRR50% (31.6 ± 3.4 DFEV1% z umol−1), and the LSS20% (89.1 ± 2.8% FEV1 z umol−1) was 3.10 times higher than LSS 50% (28.8 ± 1.5%FEV1 z umol−1). The goodness of fit of LSS 50% was significant in all cases, whereas LSS 20% failed to be significant in one. These results suggest that maximal dose-response slopes cannot be predicted from the data of standard bronchial challenge tests.