The approach utilizes a multinominal logistic regression technique and provides information on the predicted proportion of defective designs that may occur as a result of workplace and organizational problems.
Both metrics were derived using (i) the observed IPUMSI migration flows from each i to any other j and (ii) the predicted IPUMSI-based migration flows calculated by multiplying the predicted proportion of migrants residing in j in the census year by the IPUMSI-based total number of people residing in j in the census year.
For example, the predicted proportion of subjects diagnosed as hypertensive drops from 50% [44 57] when averaging measurements at times 3 and 5 to 44% [38 50] 2 mn later, down to 33% [27 39] when averaging times 25 and 27 min.
All countries available in the IPUMSI database were used to assess the accuracy of the predicted proportion of migrants in j in the census year that were previously residing in i 5 years prior to the census by comparing them with the corresponding observed values from the IPUMSI migration microdata.
The darker the shade of gray the greater the predicted proportion of sailfish.
We generated predictions based on the global assignment hypothesis for all six objects with each color set using the same procedure described in Experiment 1 and the Additional file 1.7 Figure 11a shows the predicted proportion of times each color should be chosen for each object, within the isolated and balanced color sets.
Higher predicted proportion of CXCR4-tropic (X4) HIV-1G isolates was noted compared to CRF02_AG (p = 0.007, Fisher's exact test).
The predicted proportion of desiccated pools did not differ significantly from the observed proportion of desiccated pools (Fig. 4; Chi2 goodness of fit test, p = 0.07).
The results are presented in Table 1 and 2. We find that with 6 strains, we correctly infer the proportion of each strain with an average of 1.6% difference between the actually proportion and our predicted proportion.
Note that the probabilities as determined by these parameters can be summed to display the predicted proportion of people who, from any cognitive state will improve or stay the same in cognition, worsen, or die.
The predicted proportion of fighting-events involving intense aggression that are between kin, calculated for minimum, mean, and maximum values of average coefficients of relatedness observed in the study groups, are 13.7%, 8.8%, and <<1%, respectively.
