pre-analytical error
Give this one a try later!
*most common! error b4 the lab
• Improper sample collection or handling
• Sample labeling error
• Wrong anticoagulant or insufficient mixing
• Improper ratio of anticoagulant to sample
• Traumatic transfer of blood causing hemolysis
• Improper storage during transport
• Improper storage before analysis
Using the letters- what are the equations for positive predictive value and negative
predictive value
Give this one a try later!
, PPV = a/ (a+b)
- of those my test says are pos, how many are truly pos?
NPV = d/(d+c)
- of those my test says are neg, how many are truly neg?
Standard deviations =
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how spread out my number are around a mean
example 1 = 68% of values are within 1 SD of the mean
example 2 = 95% of values are within 2 SD of the mean
example 3 = 99.7% of values are within 3 SD of the mean
Analytical Error
Give this one a try later!
error at the lab
• Problem with test methodology
• Instrument error or failure
• Interfering substance within sample - hemolysis, lipemia, icterus
In a 1000 chicken flock, 150 chickens are
sick with an upper respiratory infection and 50 have died.
Give this one a try later!
*most common! error b4 the lab
• Improper sample collection or handling
• Sample labeling error
• Wrong anticoagulant or insufficient mixing
• Improper ratio of anticoagulant to sample
• Traumatic transfer of blood causing hemolysis
• Improper storage during transport
• Improper storage before analysis
Using the letters- what are the equations for positive predictive value and negative
predictive value
Give this one a try later!
, PPV = a/ (a+b)
- of those my test says are pos, how many are truly pos?
NPV = d/(d+c)
- of those my test says are neg, how many are truly neg?
Standard deviations =
Give this one a try later!
how spread out my number are around a mean
example 1 = 68% of values are within 1 SD of the mean
example 2 = 95% of values are within 2 SD of the mean
example 3 = 99.7% of values are within 3 SD of the mean
Analytical Error
Give this one a try later!
error at the lab
• Problem with test methodology
• Instrument error or failure
• Interfering substance within sample - hemolysis, lipemia, icterus
In a 1000 chicken flock, 150 chickens are
sick with an upper respiratory infection and 50 have died.