BME100 s2015:Group18 12pmL6

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 COMPANY Name: Walter C. Bregon Role(s): Chief of Neurosurgery Name: Abdurrahman Darwish Name: Jenna Taras Name: Nathan LeFort Name: Eyerusalem Name: Hau Nguyen LAB 6 WRITE-UP Bayesian Statistics Overview of the Original Diagnosis System What Bayes Statistics Imply about This Diagnostic Approach CALCULATION 1: Variable Description Numerical Value A Positive final test conclusion 0.4375 B Positive PCR reaction 0.4167 P(B/A) Probability of B given A 0.9 P(A/B) Probability of A given B 0.9449 CALCULATION 2: Variable Description Numerical Value A Negative final test conclusion 0.5625 B Negative PCR reaction 0.54167 P(B/A) Probability of B given A 0.923 P(A/B) Probability of A given B 0.958 CALCULATION 3: Variable Description Numerical Value A Patient Develops Disease 0.3529 B Positive Final Test 0.4411 P(B/A) Probability of B given A 0.8 P(A/B) Probability of A given B 0.651 CALCULATION 4: Variable Description Numerical Value A Patient NOT Develops Disease 0.647 B Negative Final Test 0.529 P(B/A) Probability of B given A 0.27 P(A/B) Probability of A given B 0.3302 Final Results: Which calculation describes the sensitivity of the system regarding the ability to detect the disease SNP? Calculation 3 Which calculation describes the sensitivity of the system regarding the ability to predict the disease? Calculation 1 Which calculation describes the specificity of the system regarding the ability to detect the disease SNP? Calculation 4 Which calculation describes the specificity of the system regarding the ability to predict the disease? Calculation 2 Computer-Aided Design TinkerCAD Our Design Feature 1: Consumables Kit Feature 2: Hardware - PCR Machine & Fluorimeter