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The results of the four initial and one additional sensitivity analyses are summarized: Instead of using the gamma distribution, under lognormal distributional assumptions, the CEA revealed a US$14,483 savings per patient in favor of early EN, with a 95% CI from US$5,457 to US$23,658 savings per patient.
There are numerous cases of using the gamma distribution when modeling insurance losses (e.g., Hürlimann2001; Furman and Landsman2005; Alai et al.2013).2013
Neighbor Joining trees were constructed with MEGA 4 Software [18] setting Maximum Composite Likelihood (Tamura & Nei 1993 substitution model with co-estimation of rate parameters) as the model of nucleotide substitution with heterogeneous rate among sites using the gamma distribution for the relative rate with the alpha shape parameter set according to ModelTest 3.7 estimation.
The confidence intervals for the ASRs were computed using the gamma distribution approach [ 8].
Possible remedies include using the gamma distribution [ 12] or the hidden Markov model [ 23].
Exact confidence intervals were calculated for the SMRs using the Gamma distribution.
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So far, we have used the Gamma distribution shown in Fig. 1, which is relatively symmetric for small variation coefficients.
We use the Gamma distribution in our simulations, shown here for a mean coding ratio ϕ 0 = 0.01 and three different values of the variation coefficient σ ϕ / ϕ 0. In analogy to (2), the probability of synaptic potentiation ς = c / c m can be computed analytically for any given coding ratio vector ϕ (see the Appendix) as follows: ς = 1 − ∏ k = 1 P ( 1 − f k f k − 1 ).
Very recently, Thygesen and Zwinderman [23] used the gamma distribution to model the relative abundances but, as we demonstrated in this manuscript, it was not suitable despite of their mathematical simplicity.
We used the gamma distribution for approximating the distribution of evolutionary change at different sites with shape parameter 1 and nine rate categories [ 74].
Consequently, we used the gamma distribution to model these data, with the mean of the distribution following a generalized Michaelis Menten function.
More suggestions(15)
using the power distribution
using the gamma probe
using the gamma correction
using the gamma program
using the gamma value
using the salinity distribution
using the gamma statistic
using the gamma camera
using the gamma density
using the density distribution
using the gamma software
using the gamma distance
using the gamma model
using the height distribution
using the gamma index
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