The third step in the implementation of the algorithm is the determination of estimates α 2 and β 2 for α and β using the model lnleft{ln N t) - ln N_{0}+a_{1}t^{b_{1}}right}=ln alpha +betaln t. (18).
The determination of population estimates for restrictive ventilatory defect (RVD) within populations exposed to mining dusts typically relies upon the use of chest X-ray (CXR) and spirometry.
For each animal, the data from both sections were therefore pooled for determination of average estimates of lesion densities and pixel counts per kidney.
Following a descriptive analysis using cross-tabulation and distribution of single variables, linear and logistic regression analysis was used for determination of effect estimates.
Consequently, the first step in the implementation of the algorithm is the determination of initial estimates α 1 and β 1 for α and β using the model ln{ln N t) - ln N_{0}}=ln alpha +betaln t. (14).
The second step in the implementation of the algorithm is the determination of initial estimates a 1 and b 1 for a and b using the model lnleft{-ln N t) +ln N_{0}+alpha_{1} t^{beta_{1}}right}=ln a +bln t. (16).
Our study is composed of two different parts: (i) determining the 177Lu quantification accuracy of our reconstruction package using a torso phantom and (ii) reconstruction of patient data with different compensation combinations and determination of absorbed dose estimates for kidneys.
The sample size was calculated using the formula required for determination of sample size for estimating single proportions [ 12].
For determination of independent predictors for willingness to care for H1N1 patients, odds ratio (OR) was estimated on the basis of multivariate logistic regression analysis.
For the determination of the MCII for pain, we extrapolated our estimates from the existing literature on pain-VAS.
