Both suggestions have self-acknowledged limitations: not least, they depend on the availability of suitable data.
Many models of biological systems are primarily knowledge-driven, and therefore rely on the availability of suitable data with which to build a model.
In the absence of suitable data on the environmental variability of the fungus itself, there is a need to exploit epidemiologic data in different ways to better identify the role of environmental controlling factors such as climate.
However, the absence of suitable data on Na+ clearance as a function of AVP concentration and the fact that the effect is negligible in most condition [ 9] led us to consider a non-variable parameter in the model.
To understand whether the lethality observed for genes B is specific to A-deficient cell lines, we analysed the differential essentiality of B in the cell lines relative to the MCF7 cell line (due to lack of suitable data on normal cell lines, we chose MCF7 which is a typical luminal line with no known DDR defect, as our control for the comparison).
A formal power calculation was not performed for this exploratory study, owing to a lack of suitable data on preventive therapy studies at time of study design and therefore the use of potentially poor estimates of parameters for sample size calculations.
Elucidating the regulatory mechanisms underlying differential polyA preferences in multiple cell types has been hindered both by the lack of suitable data on the precise location of cleavage sites, as well as of appropriate tests for determining APAs with significant differences across multiple libraries.
This is due to a combination of factors: (i) we used a lower total cost per vaccinee, (ii) we used higher QALY decrements in our study than in three of the four previous studies [ 8- 10], (iii) we used more realistic disease incidence data (including mortality rates) compared to all previous studies, and finally (iv) we estimated efficacy based on the most suitable data.
It has been assumed that the day-to-day variation on the numbers of births fits a Poisson distribution, 13 18 but suitable data on live births, including the mode of delivery, from a larger population have not been studied previously, thus limiting the means of studying day-to-day variation.
Suitable data on exposure to possible mutagenic agents could be collected in advance of these chromosome studies.
