BME100 s2015:Group9 12pmL1: Difference between revisions

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| [[Image:BME103student.jpg|100px|thumb|Name: Johnathon Ruiz]]
| [[Image:BME103student.jpg|100px|thumb|Name: Johnathon Ruiz]]
| [[Image:IMG 0143.JPG|100px|thumb|Name: Josh Quick]]
| [[Image:IMG 0143.JPG|100px|thumb|Name: Josh Quick]]
| [[Image:BME103student.jpg|100px|thumb|Name: Maria Guzman]]
| [[Image:MariaGuzman.jpg|100px|thumb|Name: Maria Guzman]]
| [[Image:TLittle96.jpg|100px|thumb|Name: Taylor Little]]
| [[Image:TLittle96.jpg|100px|thumb|Name: Taylor Little]]
|}
|}

Revision as of 18:52, 28 January 2015

BME 100 Spring 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: Brianna Chavez
Name: Johnathon Ruiz
Name: Josh Quick
Name: Maria Guzman
Name: Taylor Little

LAB 1 WRITE-UP

Independent and Dependent Variables

Independent variable: LPS (lipopolysaccharide)
Dependent variable: level of inflammotin

Experimental Design

Groups
control group: no pills
group 1: one pill (10mg)
group 2: two pills (20mg)


Age
range: 55-80 years of age


Number of subjects per group
20 subjects in the control and both experimental groups
10 males and 10 females in each group
all other variables including ethnicity are to be randomized


Duration
baseline laboratory values were drawn weekly for a one month duration.

Subject Selection

Within designated age range, subjects should also be in 'good health'. Good health meaning no visible sickness- especially cold or fever, cognitive awareness, minimal number of comorbidities (diabetes,PAD, CAD, etc.).
Select 45 subjects to ensure health requirements are met. Then each subject will receive a number upon arrival and this number will be used to randomize all subjects and to maintain their privacy. Groups will be chosen randomly using a computer program.






Sources of Error and Bias

Certain diseases that were grounds to rule out a subject are more prevalent in certain ethnic or gender groups. Because of this, the subject pool may be unnecessarily uniform and not properly represent the target demographic. Also, the designated age range has the possibility of being too wide because subjects very close in age could be grouped together accidentally. This grouping could skew results because subjects very close in age have similar health predispositions. Of course, human error while carrying out procedure is always a factor in experiments.