BME100 f2015:Group9 1030amL1: Difference between revisions

From OpenWetWare
Jump to navigationJump to search
Line 54: Line 54:




 
In order to create the groups, our team will go to a primary care physician near our area to get a list of patients who have had a history of inflammatory problems. <br>
We will then use a random number generator to assign each patient to a specified group.<br>
While conducting the experiment, we will hold a double blind experiment where neither the drug administer nor the patient knows what dosage the patient is receiving.





Revision as of 22:34, 4 September 2015

BME 100 Fall 2015 Home
People
Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3
Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6
Course Logistics For Instructors
Photos
Wiki Editing Help


OUR TEAM

Name: Your name
Name: Your name
Name: Your name
Name: Your name
Name: Your name
Name: Your name

LAB 1 WRITE-UP

Independent and Dependent Variables

Independent Variable: Dosage of lipopolysaccharide (mg)
Dependent Variable: Level of inflammation protein (Inflammotin)

The independent variable is the substance that we are manipulating in order to see how it effects the results (the dependent variable)

Experimental Design

Groups

We will have a total of 12 groups where half of the groups (groups 1-6) will be of ages 65-69, and the other half (groups 7-12) will be of ages 70-74

Each age group will then be subdivided by increments of 2 mg dosages: 2 mg, 4 mg, 6 mg, 8 mg, 10 mg, and a placebo


Age

Our age range will span from 65-74, split from ages 65-69 and ages 70-74 in order to get a better observation of how age plays a factor into the reaction.


Number of subjects per group
10 subjects per group: 5 male, and 5 female.





Subject Selection

In order to create the groups, our team will go to a primary care physician near our area to get a list of patients who have had a history of inflammatory problems.
We will then use a random number generator to assign each patient to a specified group.
While conducting the experiment, we will hold a double blind experiment where neither the drug administer nor the patient knows what dosage the patient is receiving.





Sources of Error and Bias