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Within these extrapolation limits, experimental models have, however, yielded significant knowledge.
Experimental studies in animal models have, however, now revealed that the previously held view that the brain was an absolute immunologically privileged site allowing indefinite survival without rejection of grafts of cells was wrong.
These models have, however, been rarely used for analysis of HRQoL datasets [ 4], even though many measurement instruments have now been validated using this modern measurement theory.
Such statistical models have however a downside in that they often do not incorporate concentration effect relationships and therefore do not allow for inferences about age-related differences in pharmacokinetics, as is the case for paediatric populations.
Other models have however suggested that, even with inherent costs of resistance, higher chemotherapeutic treatment rates, as are now being dispensed within sub-Saharan Africa, might allow both parasites with lower drug resistance to successfully invade and co-existence between susceptible and resistant parasite strains (Xua et al. 2005).
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Recent advances in modern non-parametric Bayesian survival modeling have however mainly been utilized outside the domain of genetic research [8] [9].
The pro-life model has, however, left a lot of women, men and children miserable, sick or dead.
In recent years, research has mainly focused on modeling micro-scale adhesion phenomena; a macro-scale adhesion model has however to be developed for the design of macro-scale systems.
Lack of standardization of critical experimental parameters of the model has, however, greatly limited the opportunity to compare directly data from independent investigators; as a result, progress in understanding conditions for optimal nerve regeneration has been stunted.
This model has, however, been questioned [ 38].
Our model has, however, a number of limitations.
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