LABORATORY STATISTICS Flashcards

(54 cards)

1
Q

MEASURES OF CENTER/ central tendency

A

Mean, median, mode

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2
Q

average or arithmetic mean

A

Mean

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3
Q

midpoint of a data set after the values have been rank-ordered

A

Median

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4
Q

most frequently occurring value in a data set

A

Mode

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5
Q

MEASURES OF SPREAD/ Variability/ Distribution

A

Standard Deviation , Coefficient of Variation & Range

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6
Q

distribution of data points around the mean

A

Standard deviation

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7
Q

Square of SD

A

Variance

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8
Q

Best indicator of precision

A

Coefficient of variation

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9
Q

difference between the highest and lowest values

A

Range

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10
Q

Data points are distributed symmetrically around the mean (bell-shaped curve) with most values close to the center

A

GAUSSIAN/NORMAL DISTRIBURION

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11
Q

Mean, median, and mode are identical

A

GAUSSIAN/NORMAL DISTRIBURION

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12
Q

Empiric rule

A

68-95 - 99.7% rule

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13
Q

Rule of thumbs

A

CV = < 10 %

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14
Q

REFERENCE INTERVAL STUDIES

A

Verifying a reference interval & Establishing a reference interval

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15
Q

done when there is no existing RI for an analyte or when transference studies fail

A

Establishing a reference interval

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16
Q

Establishing a reference interval requires at least _______ study individuals; RI is set based on the ______________________

A

120; 95% confidence interval
CI = x̄ + /- 2s

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17
Q

done to confirm the validity of an existing or published RI for an analyte

A

Verifying a reference interval

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18
Q

Verifying a reference interval requires at least ____ study individuals; RI is adopted if _____ of the subjects fall outside the range

A

20; < 10%

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19
Q

first step in method evaluation; usually done by running two control materials twice a day over a 10-day period

A

Precision study

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20
Q

involves spiking a sample with a known amount of an analyte and determining how much of it can be detected by the method in the presence of other compounds in the matrix

A

Recovery study

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21
Q

compares the MEANS of two groups of data or the ACCURACY of two methods

A

T test

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22
Q

compares the STANDARD DEVIATION (SDs) of two groups of data or the PRECISION of two procedures

23
Q

used to compare two methods using the best fit line through the data points

A

Linear regression

24
Q

Independent variable = reference method

25
Dependent variable = new method
Y axis
26
ability of a method to detect the smallest concentration of an analyte
Analytical sensitivity
27
ability of a method to detect only the analyte of interest
Analytical specificity
28
Diagnostic Efficiency
1) Diagnostic sensitivity 2) Diagnostic specificity 3) Positive predictive value 4) Negative predictive value
29
ability of a test to detect a given disease or condition; proportion of individuals with the disease who have a positive test result
Diagnostic sensitivity
30
ability of a test to detect the absence of a given disease or condition; proportion of individuals with no disease who have a negative test result
Diagnostic specificity
31
probability that a positive test result indicates disease; proportion of individuals with a positive result who truly have the disease
Positive predictive value
32
probability that a negative test result indicates absence of disease; proportion of individuals with a negative result who truly do not have the disease
Negative predictive value
33
management philosophy and approach that focuses on processes and their improvement as the means to satisfy customer needs and requirements
TOTAL QUALITY MANAGEMENT
34
Five Q Framework
Quality Planning (QP) Quality Laboratory Process (QLP) Quality Control (QC) Quality Assurance (QA) Quality Improvement (QI)
35
Quality Improvement Tools:
Six Sigma (6 σ) & Lean
36
Reduction of defects to near zero
Six Sigma (6 σ)
37
necessary to establish measures for performance monitoring, and ensure that the performance achieved satisfies quality requirements.
Quality planning
38
include analytical processes, general policies, practices, and procedures that define how all aspects of work are done.
Quality laboratory process (QLP)
39
involves statistical control procedures as well as nonstatistical checks
Quality control (QC)
40
concerned with broader measures of laboratory performance including TAT, patient identification, specimen collection, and test utility.
Quality assurance (QA)
41
provides a structured problem-solving process to help identify the root cause of a problem and a remedy for that problem.
Quality improvement (QI)
42
Reduction of non-valued activities (wastes)
Lean
43
Categories of wastes
Defects Overproduction Waiting Non-utilized talent Transport Inventory Motion Excess processing
44
Steps in six sigma
DMAIC Define Measure Analyze Improve Control
45
include test requisition, patient preparation, patient identification, specimencollection, labeling, specimen transport, specimen reception, handling, and preparation
Pre-analytical
46
include reagents, preventive maintenance of equipment, calibration, analysis of samples, and quality control
Analytical
47
include verification of calculations and reference ranges, flagging and notification of panic/critical values, delta checks, reporting of results
Post-analytical
48
an algorithm in which a current laboratory result is compared with results obtained on a previous specimen from the same patient
Delta check
49
Quality control
Reliability, accuracy, precision, internal quality control & external quality control
50
ability to maintain accuracy and precision over an extended period of time during which equipment, reagents, and personnel may change
Reliability
51
Closeness of the result to the true or actual value
Accuracy
52
Ability to produce a series of results that agree closely with each other
Precision
53
Commonly expressed in terms of coefficient of variation
Precision
54
Also call repeatability reproducibility
Precision