Zobrazeno 1 - 7
of 7
pro vyhledávání: '"George Kalema"'
Autor:
Lidia Oostvogels, Thomas C. Heineman, Robert W. Johnson, Myron J. Levin, Janet E. McElhaney, Peter Van den Steen, Toufik Zahaf, Alemnew F. Dagnew, Roman Chlibek, Javier Diez-Domingo, Iris S. Gorfinkel, Caroline Hervé, Shinn-Jang Hwang, Hideyuki Ikematsu, George Kalema, Himal Lal, Shelly A. McNeil, Tomas Mrkvan, Karlis Pauksens, Jan Smetana, Daisuke Watanabe, Lily Yin Weckx, Anthony L. Cunningham
Publikováno v:
Human Vaccines & Immunotherapeutics, Vol 15, Iss 12, Pp 2865-2872 (2019)
In two pivotal efficacy studies (ZOE-50; ZOE-70), the adjuvanted recombinant zoster vaccine (RZV) demonstrated >90% efficacy against herpes zoster (HZ). Adults aged ≥50 or ≥70 years (ZOE-50 [NCT01165177]; ZOE-70 [NCT01165229]) were randomized to
Externí odkaz:
https://doaj.org/article/2de77cc0739443df82239135c7c026b5
Autor:
George Kalema, Geert Molenberghs
Publikováno v:
Journal of Statistical Software, Vol 70, Iss 1, Pp 1-20 (2016)
Analysis of longitudinal count data has, for long, been done using a generalized linear mixed model (GLMM), in its Poisson-normal version, to account for correlation by specifying normal random effects. Univariate counts are often handled with the ne
Externí odkaz:
https://doaj.org/article/8a541c6cc4e0460cad58f71204baf5fd
Publikováno v:
Computational Statistics. 31:749-770
© 2015, Springer-Verlag Berlin Heidelberg. Generalized estimating equations have been widely used in the analysis of correlated count data. Solving these equations yields consistent parameter estimates while the variance of the estimates is obtained
Publikováno v:
Communications in Statistics - Simulation and Computation. 45:2491-2510
© 2016, Copyright © Taylor & Francis Group, LLC. The combined model as introduced by Molenberghs et al. (2007, 2010) has been shown to be an appealing tool for modeling not only correlated or overdispersed data but also for data that exhibit both t
Publikováno v:
Pharmaceutical statistics. 13(5)
An extension of the generalized linear mixed model was constructed to simultaneously accommodate overdispersion and hierarchies present in longitudinal or clustered data. This so-called combined model includes conjugate random effects at observation
Autor:
Fernando Henrique Westphalen, George Kalema, P H Couto Souza, Guy Willems, K Dreesen, Irf Rubira-Bullen, Yan Huang, Ruben Pauwels, Dimitra Galiti, Reinhilde Jacobs, Marc Schreurs, Pisha Pittayapat
Publikováno v:
Clinical Oral Investigations, 17, 1, pp. 293-300
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Clinical Oral Investigations, 17, 293-300
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Clinical Oral Investigations, 17, 293-300
Item does not contain fulltext OBJECTIVES: The objective of this study is to compare subjective image quality and diagnostic validity of cone-beam CT (CBCT) panoramic reformatting with digital panoramic radiographs. MATERIALS AND METHODS: Four dry hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f430eb1857ad37b684200eed05c424cc
https://hdl.handle.net/2066/125225
https://hdl.handle.net/2066/125225
Autor:
George Kalema, Geert Molenberghs
© 2014 Taylor & Francis Group, LLC. Generalized Estimating Equations (GEE) are a widespread tool for modeling correlated data, based on properly formulating a marginal regression function, combined with working assumptions about the correlation func
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eb994bf849dee709f54ab07614f3f96
http://hdl.handle.net/1942/14834
http://hdl.handle.net/1942/14834