↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Tyck till om SwePub Sök här!

Träfflista för sökning "WFRF:(Wang B) ;lar1:(hig)"

Search: WFRF:(Wang B) > University of Gävle

Result 1-4 of 4

Sort/group result

Sort by: Hits per page:

Enumeration	Reference	Cover	Find
1.	Buiter, S., et al. (author) Benchmarking the Sandbox: Quantitative Comparisons of Numerical and Analogue Models of Brittle Wedge Dynamics 2010 Conference paper (peer-reviewed)
2.	Schreurs, G., et al. (author) Quantitative comparisons of analogue models of brittle wedge 2010 Conference paper (peer-reviewed)
3.	Rubin, Donald B., et al. (author) Bayesian casual inference : Approaches to Estimating the Effect of Treating Hospital Type on Cancer Survival in Sweden Using Principal Stratification 2010 In: The Oxford handbook of applied Bayesian analysis. - : Oxford University Press. - 9780199548903 ; , s. 679-708 Book chapter (peer-reviewed)
4.	Yin, Li, et al. (author) Control of confounding through secondary samples 2006 In: Statistics in Medicine. - : Wiley. - 0277-6715 .- 1097-0258. ; 25:22, s. 3814-3825 Journal article (peer-reviewed)abstract The control of confounding is essential in many statistical problems, especially in those that attempt to estimate exposure effects. In some cases, in addition to the ‘primary’ sample, there is another ‘secondary’ sample which, though having no direct information about the exposure effect, contains information about the confounding factors. The purpose of this article is to study the influence of the secondary sample on likelihood inference for the exposure effect. In particular, we investigate the interplay between the efficiency improvement and the possible bias introduced by the secondary sample as a function of the degree of confounding in the primary sample and the sizes of the primary and secondary samples. In the case of weak confounding, the secondary sample can only little improve estimation of the exposure effect, whereas with strong confounding the secondary sample can be much more useful. On the other hand, it will be more important to consider possible biasing effects in the latter case. For illustration, we use a formal example of a generalized linear model and a real example with sparse data from a case–control study of the association between gastric cancer and HM-CAP/Band 120.

Skapa referenser, mejla, bekava och länka

Permalink

Result 1-4 of 4

Refine your search

Type of publication: conference paper (2); journal article (1); book chapter (1)

Type of content: peer-reviewed (4)

Author/Editor: Yamada, Y. (2); Wang, S. H. (2); Chen, J.H. (2); Macauley, J (2); Koyi, H (2); Maillot, B (2); show more...; Yin, Li (2); Buiter, S. (2); Schreurs, G. (2); Burberry, C. (2); Callot, Jean-Paul (2); Cavozzi, C. (2); Cerca, M. (2); Cristallini, E. (2); Cruden, A. (2); Cruz, L. (2); Daniel, J.M. (2); Garcia, V.H. (2); Gomes, C. (2); Grall, C. (2); Guzmán, C. (2); Nur Hidayah, T. (2); Hilley, G. (2); Klinkmüller, M. (2); Lu, C.Y. (2); Meriaux, C. (2); Nilfouroushan, Faram ... (2); Pan, C.C. (2); Pillot, D. (2); Portillo, R. (2); Schellart, W.P. (2); Schlische, R. (2); Take, A. (2); Vendeville, B. (2); Cooke, M. (1); Ellis, S. (1); Sundberg, Rolf, 1942 ... (1); Lazor, Peter (1); Albertz, M. (1); Beaumont, C. (1); Egholm, D. (1); Gerya, T. (1); Hodkinson, L. (1); Hofmann, F. (1); Guillou, H. (1); Kaus, B. (1); Mishin, Y. (1); Pascal, C. (1); Rosenau, R. (1); Soulomiac, P. (1); show less...

University: University of Gävle (4)Undo refine; Uppsala University (2); Stockholm University (1); Karolinska Institutet (1)

Language: English (4)

Research subject (UKÄ/SCB): Natural sciences (4)

Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

Copyright © LIBRIS - National Library Systems
LIBRIS.kb.se

pil uppåt

Close

Copy and save the link in order to return to this view