BME100 f2014:Group22 L2: Difference between revisions

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=LAB WRITE UP 2=
 


=OUR TEAM=
=OUR TEAM=
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| [[Image:BME103student.jpg|100px|thumb|Name: Lisa Lavergne]]
| [[Image:BME103student.jpg|100px|thumb|Name: Lisa Lavergne]]
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=LAB WRITE UP 2=
==Descriptive Statistics==
==Descriptive Statistics==


===Human Trial: Average Inflammotin Levels===
{| class="wikitable" border="1"
|-
!
! 0 mg LPS
! 5 mg LPS
! 10 mg LPS
! 15 mg LPS
|-
| Average
| 3.83 pg/ml
| 8.93 pg/ml
| 61.6 pg/ml
| 658 pg/ml
|-
| Standard Deviation
| 1.52 pg/ml
| 1.59 pg/ml
| 30.1 pg/ml
| 213 pg/ml
|-
| Standard Error
| 0.482 pg/ml
| 0.504 pg/ml
| 9.52 pg/ml
| 67.3 pg/ml
|}


 
===Rat Trial: Average Inflammotin Levels===
{| class="wikitable" border="1"
!
! 0 mg LPS
! 10 mg LPS
|-
| Average
| 10.5 pg/ml
| 11.1 pg/ml
|-
| Standard Deviation
| 2.23 pg/ml
| 7.40 pg/ml
|-
| Standard Error
| 1.00 pg/ml
| 3.31 pg/ml
|}
==Results (Graphs)==
==Results (Graphs)==


===Human Trial===
[[Image:Lab_2_Human_Test_Graph.PNG]]


===Rat Trial===
[[Image:Lab_2_Rat_Test_Graph.PNG]]




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==Analysis (Inferential Statistics)==
==Analysis (Inferential Statistics)==


The ANOVA test returned a p-value of 3.77762E-14 far under p=0.05 maximum uncertainty margin for statistical inter-group significance. Therefore, based on the data, it can be concluded that there is a statistically significant difference between the protein levels of each of our experimental groups. Therefore, LPS is capable of increasing the levels of inflammotin in the blood of our human subjects.  
=== Human Trial ===
<p>    A one-way ANOVA test was run for the human trial in order to compare between-group variation of four doses of LPS. Post-hoc, a Student's T Test was run on  the human trial data in order to compare the average inflammotin levels for each dose to the average of each other trial (i.e., 0 mg vs. 5 mg, 0 mg vs 10 mg, etc.). The ANOVA test returned a p-value of 1.40 x 10<sup>-16</sup>, far below the p=0.05 maximum uncertainty margin for statistical inter-group significance. Therefore, based on the data, it can be concluded that there is a statistically significant difference between the protein levels of each of our experimental groups. Post-hoc, a Bonferroni Significance Test was performed, and the adjusted T Test value to achieve significance was 0.00833.  Between each pair of trials (a total of 6 comparisons), the T Test values were well below the 0.00833 margin, peaking at 1.51 x 10<sup>-5</sup>. Therefore, it is statistically supported that LPS is capable of increasing the levels of inflammotin in the blood of human subjects.</p>


=== Rat Trial ===
<p>    For the Rat trial, there were only two trials done, a 0 mg of LPS trial and a 10 mg of LPS trial.  A T Test was performed in order to determine whether the difference in means between the two trials was statistically significant. The T Test returned a p-value of 0.87, far above the acceptable maximum p=0.05 margin for statistical significance. Therefore, it can be concluded that any differences between the 0 mg dose of LPS and the 10 mg dose of LPS in rats is very likely due to random chance.</p>




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==Summary and Discussion==
==Summary and Discussion==
The Human Study data shows how different dosages of LPS will have different effects on inflammatin levels. The P-value that we calculated was 3.77*10^-14 which is lower than the desired value of 0.05. Since it's lower it means that the chance of the data being a random phenomenon is slim to none. Therefor The Human Study data was accurate but not conclusive to what was trying to be examined. The control group of 0mg had a very low standard deviation of 1.52, as well as 5mg, which had a standard deviation of 1.59. As the LPS doses went up the standard deviation become greater and greater. The 10mg dosage had a standard deviation of 30.1 and the 15mg dosage had a standard deviation of 212.9. This shows that the spread of data became to large therefor not allowing us to come to a conclusion of how LPS effects inflammatin levels.
<p>    The Human Study data shows how different dosages of LPS will have different effects on inflammotin levels. The ANOVA test resulted in a p-value of 3.77*10<sup>-14</sup>, which is lower than the upper-margin uncertainty value of p=0.05. Because of the low p-value, the ANOVA test concluded that the variation between each trial was statistically significant. Therefore, the human study data was showed a conclusive relationship between the dosage of LPS and the levels of inflammotin in human subjects. This result is shown in the Human Trial bar graph, in which the error bars of each bar do not overlap, implying that the difference between the trials cannot be attributed to random variation. This conclusion was supported by by the Bonferroni Significance Test, which further concluded that, when compared individually, the difference between each trial and each other trial was statistically significant as well.</p>
 
<p>    The rat study was inconclusive. After performing a T Test, the test returned a p-value of 0.87, a result of the extremely large within-group variation in both trials. This p-value carries the implication that, because the measurements or experiment as a whole was imprecise, there is an 87% chance that the difference between the two is due to random chance. The 0 mg dose sample has a standard deviation of 2.225 pg/ml, and the 10 mg sample has a standard deviation of 7.40 pg/ml. The difference between the average inflammotin level as a result of each LPS dose was only 0.596 pg/ml, while both standard deviations were well above this value. This particular result, as also displayed by the rat trial bar graph, shows that the standard deviation within each group drowns out the small difference between the average of each trial. In conclusion, the rat trial of the effects of LPS on inflammotin levels was inconclusive.</p>


The rat study showed that there is a P value of .87, which is above the .5 which is considered an accurate test. This P value of .87 represents/ that there is a great chance that the test is random and most likely inaccurate. The 0mg sample has a standard deviation of 2.225 and the 10mg sample has a standard deviation of 7.4. Since the 10mg sample has a high standard deviation, it should be taken as an inaccurate test and it should probably be ignored in the case of the 10mg sample. The 0 mg has a lower standard deviation meaning that it is more accurate. These numbers show the spread of the data and because the standard deviation increases, we cannot say weather or not LPS has an effect.
<p>    Between the two tests, only the human trial showed any statistically significant result linking the dose of LPS given to patients and the levels of inflammotin in their blood. This result is likely due to the biological differences between rats and humans; LPS may have no effect on rats, but it conclusively raises inflammotin levels in human subjects. This also may be a result of a flaw in the rat trial, perhaps involving difficulties in measuring blood inflammotin levels in such small mammals, or involving the very small sample size included in the experiment. In context with the potential uses of LPS treatment, the successful human trial opens up the possibility of more extensive clinical research into the medicinal uses of LPS, perhaps itself leading to the eventual development of a useful new drug.</p>




<br><br>
<br><br>

Latest revision as of 11:32, 21 October 2014

BME 100 Fall 2014 Home
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OUR TEAM

Name: Justin Else
Name: Aaron Raber
Name: Chase Radigan
Name: Daniel Sorto
Name: Zach Steidl
Name: Lisa Lavergne


LAB WRITE UP 2

Descriptive Statistics

Human Trial: Average Inflammotin Levels

0 mg LPS 5 mg LPS 10 mg LPS 15 mg LPS
Average 3.83 pg/ml 8.93 pg/ml 61.6 pg/ml 658 pg/ml
Standard Deviation 1.52 pg/ml 1.59 pg/ml 30.1 pg/ml 213 pg/ml
Standard Error 0.482 pg/ml 0.504 pg/ml 9.52 pg/ml 67.3 pg/ml

Rat Trial: Average Inflammotin Levels

0 mg LPS 10 mg LPS
Average 10.5 pg/ml 11.1 pg/ml
Standard Deviation 2.23 pg/ml 7.40 pg/ml
Standard Error 1.00 pg/ml 3.31 pg/ml

Results (Graphs)

Human Trial

Rat Trial





Analysis (Inferential Statistics)

Human Trial

A one-way ANOVA test was run for the human trial in order to compare between-group variation of four doses of LPS. Post-hoc, a Student's T Test was run on the human trial data in order to compare the average inflammotin levels for each dose to the average of each other trial (i.e., 0 mg vs. 5 mg, 0 mg vs 10 mg, etc.). The ANOVA test returned a p-value of 1.40 x 10-16, far below the p=0.05 maximum uncertainty margin for statistical inter-group significance. Therefore, based on the data, it can be concluded that there is a statistically significant difference between the protein levels of each of our experimental groups. Post-hoc, a Bonferroni Significance Test was performed, and the adjusted T Test value to achieve significance was 0.00833. Between each pair of trials (a total of 6 comparisons), the T Test values were well below the 0.00833 margin, peaking at 1.51 x 10-5. Therefore, it is statistically supported that LPS is capable of increasing the levels of inflammotin in the blood of human subjects.

Rat Trial

For the Rat trial, there were only two trials done, a 0 mg of LPS trial and a 10 mg of LPS trial. A T Test was performed in order to determine whether the difference in means between the two trials was statistically significant. The T Test returned a p-value of 0.87, far above the acceptable maximum p=0.05 margin for statistical significance. Therefore, it can be concluded that any differences between the 0 mg dose of LPS and the 10 mg dose of LPS in rats is very likely due to random chance.




Summary and Discussion

The Human Study data shows how different dosages of LPS will have different effects on inflammotin levels. The ANOVA test resulted in a p-value of 3.77*10-14, which is lower than the upper-margin uncertainty value of p=0.05. Because of the low p-value, the ANOVA test concluded that the variation between each trial was statistically significant. Therefore, the human study data was showed a conclusive relationship between the dosage of LPS and the levels of inflammotin in human subjects. This result is shown in the Human Trial bar graph, in which the error bars of each bar do not overlap, implying that the difference between the trials cannot be attributed to random variation. This conclusion was supported by by the Bonferroni Significance Test, which further concluded that, when compared individually, the difference between each trial and each other trial was statistically significant as well.

The rat study was inconclusive. After performing a T Test, the test returned a p-value of 0.87, a result of the extremely large within-group variation in both trials. This p-value carries the implication that, because the measurements or experiment as a whole was imprecise, there is an 87% chance that the difference between the two is due to random chance. The 0 mg dose sample has a standard deviation of 2.225 pg/ml, and the 10 mg sample has a standard deviation of 7.40 pg/ml. The difference between the average inflammotin level as a result of each LPS dose was only 0.596 pg/ml, while both standard deviations were well above this value. This particular result, as also displayed by the rat trial bar graph, shows that the standard deviation within each group drowns out the small difference between the average of each trial. In conclusion, the rat trial of the effects of LPS on inflammotin levels was inconclusive.

Between the two tests, only the human trial showed any statistically significant result linking the dose of LPS given to patients and the levels of inflammotin in their blood. This result is likely due to the biological differences between rats and humans; LPS may have no effect on rats, but it conclusively raises inflammotin levels in human subjects. This also may be a result of a flaw in the rat trial, perhaps involving difficulties in measuring blood inflammotin levels in such small mammals, or involving the very small sample size included in the experiment. In context with the potential uses of LPS treatment, the successful human trial opens up the possibility of more extensive clinical research into the medicinal uses of LPS, perhaps itself leading to the eventual development of a useful new drug.