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Created: Nov 7, 2017
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Week 12- Hep A
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Week 12 StatCrunch


Hepatitis A is a highly contagious liver infection. This disease can be spread through contaminated food or water or through contact with an infectious person. While hepatitis A is not as serious as Hepatitis B and C, the effects can still be debilitating and cause substantial economic losses during epidemics. The risk of hepatitis A is known to include poor sanitation, dirty water, and poor hygiene. Literature does not reveal a large focus on relationship between Hep A and age. Our researchers have chosen to examine any possible relationship between bilirubin levels (mg/dL) and age (years) for patients over the age of 40 who have been diagnosed with Hep A but not hospitalized.


Researchers performed a retrospective chart review of 20 subjects over the age of 40 who had been diagnosed with acute hepatitis A but not hospitalized. As we wish to assess correlation we must first check our assumptions. Both data measurements, age and bilirubin levels, qualify as interval-ratio data. We must also check a scatter plot to ensure no non-linear pattern is found.

Result 1: Scatter Plot- Week 12   [Info]
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As observed in the scatter plot, there does not appear to be any issues with non-linearity. For this reason and because our data is interval-ratio, it is appropriate to move forward with correlation analysis. We will be using the Pearson Correlation Coefficient (r).


Result 2: Correlation Week 12   [Info]
Correlation between Bilirubin (mg/dl) and Age (years) is:

Based on the correlation results (r= 0.4658, p=0.0385), we have evidence of a positive correlation between bilirubin levels and age.


We can slightly visualize the positive trend in the scatter plot. However, based on our results we can estimate that age only explains around 22% of the variability in bilirubin levels.

Conclusions/Further Study

While we do see evidence that average bilirubin levels increase with age in patients with acute hepatitis A from our r and p-value, the predictive ability and relationship between variables is very weak. Perhaps a larger sample size in a future study will allow for greater explained variability though this will probably just over-power the analysis.  No clinical conclusions can be drawn from this study. I would recommend further studies explore other possible relationships associated with hepatitis A in order to guide future treatment and prevention research.

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By ekilburn81
Nov 13, 2017

Great job on your report. I did the same study and found it very interesting. I agree a larger sample could help this study. Again great job.
By nku.katie.waters
Nov 13, 2017

Hi Ashleigh,
Great job! I glanced at your report and you appear to be on the right track this week. Keep up the good work!

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