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Diseases are me- of social conditions for which these variables are proxies.7 diated by factors outside the clinical setting, such as per- For example, it is possible to estimate the number of deaths sonal behaviors (eg, smoking), obesity, and environmental that could be averted if blacks experienced the mortality rates exposures.
For example, it is possible to estimate the total concentration or relative activity of an enzyme in wild-type vs. mutant cells when only one of the kinetic parameters is accurately estimated.
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For example, with this specification, it is possible to estimate the rate of radial decay of amplitudes of a wave in different directions in propagation-attenuation plane.
For example, for the regression method, it is possible to estimate uncertainty only due to the uncertainty in estimates of the mean regression fit.
Additionally, it is possible to estimate the probabilities of being in a given regime, for example, a recession.
Furthermore, it is possible to estimate the amount of soil loss due to gully erosion, which, for example, is not taken into consideration by the USLE-type models.
CONCLUSIONS: It is possible to estimate shock gradient fields in three dimensions.
For example it is possible to proceed like as following.
For example, Pawitan et al. [ 8] showed that it is possible to get less bias by estimating π0 and f1 z) using a joint estimation method.
Example code for these commands can be found in Appendix 2. Once the cause-specific hazards and the cumulative incidence function have been estimated it is possible to obtain other useful measures through some simple manipulation of the estimates.
The example also illustrates a very important concept: in high-dimensional regressions it is possible to have similar predictions with very different estimates of effects.
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CEO of Professional Science Editing for Scientists @ prosciediting.com