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Created: Aug 24, 2015
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0107 Tracheal Carina Resections
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Intro:

This report is look at the resection of tracheal carina which can be a dangerous procedure for patients. In this study the researches looked at age prior to surgery, extent of resection, intubation, and patient death.

Problem 1-4-A:

The following graph shows death in relation to age of the patient prior to surgery.  This graph shows that more people had this surgery as they aged. But the age where the most deaths occured was in two age groups. Groups 20-30 and 60-70. I thought that the number of deaths would follow the upward frequency of age. 

Result 1: 0107 tracheal resections Bar Plot With age and death   [Info]
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Problem 1-4-B:

The next graph shows the correlation between patients who had prior surgery and intubation. The pie graph shows that 82.35% of patients that had prior tracheal carina surgery were not intubated and 17.65% of patients who had the surgery were intubated. This is not a confounding variable because the patients who had prior surgery were not likely to be intubated. If the results were the opposite then it would have been a confounding variable. 

Result 2: 0107 tracheal resections Pie Chart Prior Surgery/Intubation   [Info]
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Problem 1-4-C 

The following hypothesis test results show that the results does not show there is a 95% confidence interval because the p-value is 0.3044 which is greater than the desired <0.05.  This table shows that 6 out of 34 patients with prior surgery passed away and that 11 out of 101 patients that did not have prior surgery passed away. 

Result 5: 0107 Tracheal Two Sample Death and Prior Surgery   [Info]
Hypothesis test results:
p1 : Proportion of successes (Success = Yes) for Death where "Prior Surgery" = Yes
p2 : Proportion of successes (Success = Yes) for Death where "Prior Surgery" = No
p1 - p2 : Difference in proportions
H0 : p1 - p2 = 0
HA : p1 - p2 ≠ 0
DifferenceCount1Total1Count2Total2Sample Diff.Std. Err.Z-StatP-value
p1 - p2634111010.0675596970.0657806921.02704450.3044

 

Problem 1-4-D:

 

I next looked at the relationship between the resection amount and intuabtion and death. The first graph shows the relationship between intubation and resection amount. I thought that the more the surgeons resected the more likely that person would be intubated. But in this graph it shows that more people were intubated when 4 cm was resected instead of the max of 6 cm. But it showed that amoung the amount of people who had 6 cm resected a majority of those people were intubated. 

Result 3: 0107 tracheal Bar Plot intubation vs resection cm   [Info]
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The next graph shows the relationship between resection amount and death. This correlates with the previous graph in that where the most deaths occured is at 4 cm resections. 

Result 4: 0107 Bar Plot death vs resection cm   [Info]
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HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=50863">0107 Tracheal Carina Resections</A>

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By nku.katie.waters
Aug 25, 2015

Hi Kelcey,
Good work. For Problem 4, the variables "Age" and "Resection" are interval/ratio so bar graphs are not really appropriate here. Boxplots or histograms would be more suitable.
Please take a look at the solutions and let me know if you have any questions!

Always Learning