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Titlebook: High-Energy Ion-Atom Collisions; Proceedings of the 4 D. Berényi,G. Hock Conference proceedings 1991 Springer-Verlag Berlin Heidelberg 1991

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R. Maier,O. Heil,R. D. DuBois,M. Kuzel,R. O. Groeneveld, but without any accompanying quantitative description of the uncertainty accompanying that estimate. We showed how the impact of uncertainty in the bias parameter could be described by assigning different values or sets of values to the bias parameters of the model. These were presented in a multi
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John A. Tanismaterial: Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More re
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Th. Stöhlker,C. Kozhuharov,E. A. Livingston,P. H. Mokler,Z. Stachura,A. Szymanski,A. Warczaks in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explana
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R. Gayet,A. Salinmaterial: Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More re
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