Biostatistics Flashcards

1
Q

Statistical test: two qualitative variables

A

chi square test

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2
Q

Statistical test: two quanitative variables

A

linear regression analysis

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3
Q

Statistical test: Qualitative –> Quantitative > 30 population

A

Z test

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4
Q

Statistical test: Qualitative –> Quantitative < 30 population

A

T-test

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5
Q

Statistical test: Qualitative –> Quantitative > 3 groups

A

ANOVA

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6
Q

Statistical test: Quantitative –> Qualitative

A

Regression analysis

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7
Q

Statistical tet: reliability

A

Kappa statistic test

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8
Q

Percentage: 1 standard deviation

A

68%

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9
Q

Percentage: 2 standard deviations

A

95%

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10
Q

Percentage: 3 standard deviations

A

99.5%

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11
Q

Skewed to the left:

Mean is ___ than median

A

smaller

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12
Q

Skewed to the right:

Mean is ___ than median

A

larger

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13
Q

Scale: value of zero is arbitrary

A

Interval scale

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14
Q

Scale: highest form, (+) clear zero point

A

Ratio scale

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15
Q

Scale: lowest form, no intrinsic order

A

Nominal scale

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16
Q

Scale: intrinsically ordered, but not quantitatively

A

Ordinal scale

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17
Q

Proportion of true negative to those who tested negative

A

Negative predictive value

18
Q

Proportion of true positive to those who tested positive

A

Positive predictive value

19
Q

Proportion of true negative to those without disease

A

Specificity

20
Q

Proportion of true positive to those with disease

A

Sensitivity

21
Q

Screening test

A

Sensitivity

22
Q

Confirmatory test

A

Specificty

23
Q

TRUE OR FALSE

Sampling frame is necessary in simple random sampling

24
Q

TRUE OR FALSE

Sampling frame is necessary in stratified random sampling

25
TRUE OR FALSE Sampling frame is necessary in cluster sampling
False
26
Denominator in incidence rate
Person-years of observation
27
Causes distortion of results because the factor is distributed unevenly in exposed and unexposed individuals The association between two variables is distorted by the fact that both are associated with a third Difference in crude and adjustment risks
Confounding
28
Magnitude of the effect of a particular exposure on the outcome will vary according to the presence of a third factor
Effect modification
29
Control for confounding: case-control studies
Matching
30
Control for confounding: clinical trials
Randomization
31
Control for confounding: large cohort studies
Analysis
32
As prevalence decreases, the positive predictive value
Decreases
33
As prevalence decreases, the negative predictive value
Increases
34
Bias: when the screening test advances the time of diagnosis, but no true prolongation of life occurs because survival for persons who are screened and those who are not is the same from the time the cancer occurs
Lead bias
35
Bias: screening test less likely will detect a rapidly progressive disease if symptoms rapidly develop because the window period between the time the cancer can be detected when it is asymptomatic by a screening test and the time it will become clinically significant is short
Length bias
36
MIsclassification of exposure is not random Result in overestimate of an association
Differential misclassification
37
When memory of exposure is unrelated to the fact that a person has a disease or not Consequence of an imprecise measurement of eitther exposure or outcome Causes the results to move towards the null (no association)
Nondifferential misclassification
38
Ratio of the observed number to the expected number of deaths or cases of the disease
Standardized mortality or morbidity ratio
39
Persons followed for variable lengths of time are counted according to the length of time they were followed
Survival anaylsis
40