Posted: September 10th, 2017

Exercise 14

1. According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does the APLS UK formula under-or overestimate the weight of children younger than 1 year of age? Provide a rationale for your answer.

2. Using the values alpha=3.161 and beta=0.502 with the novel formulain Figure 1, what is the predicted weight in kilograms (kg) for a child at 9 months of age? Show your calculations.

3. Using the values alpha=3.161 and beta= 0.502 with the novel formula in Figure 1, what is the predicted weight in kilograms for a child at 2 months of age? Show your calculations.

4. In Figure 2, the formula for calculating y (weight in kg) is Weight in kg= (0.176 * Age in months) + 7.241. Identify the y intercept and the slope in this formula.

5. Using the values alpha= 7.241 and beta=0.176 with the novel formula in Figure 2, what is the predicted weight in kilograms for a child 3 years of age? Show your calculations.

6. Using the values alpha=7.241 and beta=0.176 with the novel formula in Figure 2, what is the predicted weight in kilograms for a child 5 years of age? Show your calculations.

7. In Figure 3, some of the actual mean weights represented by blue line with squares are above the dotted straight line for the novel formula, but others are below the straight line. Is this an expected finding? Provide a rationale for your answer.

8. In Figure 3, the novel formula is (weight in kilograms= (0.331 * Age in months)- 6.868. What is the predicted weight in kilograms for a child 10 years old? Show your calculations.

9. Was the sample size of this study adequate for conducting simple linear regression? Provide a rationale for your answer.

10. Describe one potential clinical advantage and one potential clinical problem with using the three novel formulas presented in Figures 1, 2, and 3 in a PICU setting.

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