Biostats Flashcards

0
Q

What does 100% sensitivity indicate?

A

Low false negative rate

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1
Q

What is the equation for sensitivity?

A

TP/(TP+FN)

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2
Q

What is sensitivity used for?

A

Used for screening in diseases with low prevalence

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3
Q

What is the equation for specificity?

A

TN/(TN+FP)

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4
Q

What does 100 percent specificity indicate?

A

A low false positive rate

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5
Q

What is the equation for positive predictive value?

A

TP/(TP+FP)

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6
Q

What is the positive predictive value?

A

Probability that person actually has the disease given a positive test result

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7
Q

What is negative predictive value?

A

The probability that a person is actually drug free given a negative test result

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8
Q

What is the equation of negative PPV?

A

TN/(FN+TN)

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9
Q

What is the true positive rate?

A

Sensitivity

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10
Q

What is the true negative rate?

A

Specificity

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11
Q

What is the equation for calculating incidence?

A

Number of new cases/number of people in population at risk (don’t already have the disease)

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12
Q

What is the equation for prevalence?

A

Number of cases in a population/total number of people in the population

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13
Q

What is the equation for odds ratio?

A

Ad/bc

Used in case-control studies (outcome –> exposure)

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14
Q

What is the equation for relative risk?

A

A/(a+b)/c/(c+d)

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15
Q

What is relative risk?

A

Risk among exposed/risk among unexposed

16
Q

What is the equation for absolute risk?

A

(A/a+b) - (c/c+d)
(RR-1)/RR
#of adverse events in tx/# of adverse events in placebo

17
Q

What is the number needed to treat?

A

The number of patients who need to be treated for 1 patient to benefit

18
Q

What is the equation for the number needed to treat?

A

1/absolute risk

1/ (event rate -control) - (event rate - tx)

19
Q

What is the number needed to harm?

A

Number of patients who need to be exposed to a risk factor for 1 patient to be harmed

20
Q

What is the equation for the number needed to harm?

A

1/attributable risk = 1/(a/a+b) - (c/c+d)= 1/((RR-1)/RR)

21
Q

What is the equation for event rate?

A

of subjects per tx/total # of subjects

22
Q

What is precision?

A

The consistency, reproduciblity and reliability of a test

23
Q

What lowers precision?

A

Random error

24
Q

What is accuracy of a test?

A

Validity

Absence of systematic error

25
Q

What is the equation for SEM?

A

SD / square root sample size

So as sample size increases, standard error of mean decreases

26
Q

What is the null hypothesis?

A

Says there is no difference btween two groups

P = high

27
Q

What is the p-value?

A

The likelihood of observing what we did if the null is true.
The lower the p-value the more evidence for the alternative hypo

28
Q

What is a type I error?

A

False positive error
Stating there s a difference when there really isn’t.
P-value is judged against this
Ex: convicting an innocent man

29
Q

What is a type II error?

A

Stating there isn’t an effect or different when there is one
False negative error
Ex: Setting a guilty man free

30
Q

What is power?

A

The probablility of seeing a difference when one is there
Ex: convicting a guilty man
= 1- B

31
Q

What does power increase with?

A

Sample size
Expect effect size
Precision of measurement

32
Q

What is the equation for confidence interval?

A

Mean - Z(SEM) to mean + Z(SEM)
Z= 1.96 for 95% CI
Z = 2.58 for 99% CI

33
Q

What is the equation for likelihood ratio?

A

Sensitivity/1-specifity

The higher the better likelihood the patient has a disease they are being treated for