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We chose visualization methods and designed interactions based on the nature of the data and the problems faced.
There are, however, some questionable areas such as confronting variables, degree of correlation, the overall consistency of the data, and the problems of ETS measurement.
The problem has been compounded by the limited amounts of national food consumption data and the problems associated with estimating high level exposures when there are simultaneous routes of exposure.
Only in more advanced T3 disease did surgery appear to have a greater survival benefit but again this was on raw data and the problems of understaging and occult pelvic node disease were not accounted for in this comparison.
Disadvantages include the difficulty of specifying complex covariance structures in the data, the unreliability of SMRs based on sparse data, and the problems of estimating variances of the relative risks.
The latest Canadian worker study by Zablotska et al (2014) illustrates the care that must be exercised in collating worker data, and the problems that can arise, especially when using data that may have been collected for purposes other than epidemiology.
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"It would produce a tsunami of data, and the problem is that we aren't set up with health-care systems that can deal with all that," he says.The answer will be even more technology, says Dr Bakalar.
Such data therefore still falls into the category of cross-sectional data, and the problem of reverse causality is thus tackled.
There are always bottlenecks in bridging analog communications to digital data, and the problem is more complex when it involves wireless signal strength that can fluctuate when the user is driving or sitting on a train.
The conclusions of this review only allow us to make some cautious recommendations, due to the limited data and the problem of non-independence when exploring possible causes of heterogeneity in effect size.
These are not and cannot be standardized and indeed the steps and parameters are chosen and modified often as the understanding of the data and the problem changes.
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