Biostatistics Flashcards

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1
Q

How is a cross-sectional study performed?

What information can be derived from it?

A

An observational study that collects data from a group of people at a single point in time.

Used to assess disease frequency and associated risk factors.

Measures disease prevalence and show risk factor association with disease - no causality. “What is happening?”

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2
Q

How is a case-control study performed?

What information can be derived from it?

What statistic is used to compare the groups?

A

An observational and retrospective design.

Compares a group of people with disease to a group without disease. Then, looks for prior exposure or risk factor.

Uses an odds ratio

“What happened?”

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3
Q

How is a cohort study performed?

What information can be derived from it?

What statistic is used to compare the groups?

A

An observational and prospective or retrospective design.

Compares a group with a given exposure or risk factor to a group without exposure. Does the exposure increase likelihood of disease?

Use relative risk

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4
Q

How is a twin concordance study performed?

What information can be derived from it?

A

Compares frequency with which both monozygotic twins or both dizygotic twins develop same disease. Measures heritability and influence of environmental factors.

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5
Q

How is an adoption study performed?

What information can be derived from it?

A

Compares siblings raised by biological versus adoptive parents with respect to disease. Measures heritability and environmental factors.

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6
Q

What is the purpose and typical study sample for a Phase I clinical trial?

A

Phase 1: “Is it safe?” Assess safety, toxicity, and pharmocokinetics.

Study sample is small number of healthy volunteers.

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7
Q

What is the purpose and typical study sample for a Phase II clinical trial?

A

“Does it work?” Assess treatment efficacy, optimal dosing, and adverse effects.

Study sample is a small number of patients with disease of interest.

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8
Q

What is the purpose and typical study sample for a Phase III clinical trial?

A

“Is it as good or better?” Compare the new treatment to the current standard of care.

Study sample is a large number of patients randomly assigned to either treatment under investigation or best available treatment (or placebo if none exists).

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9
Q

What is the purpose and typical study sample for a Phase IV clinical trial?

A

“Can it stay?” Detects rare or long-term adverse effects of treatment. Can result in removal from market.

Study sample: Postmarketing surveillance trial of patients after approval.

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10
Q

Below is a 2x2 table obtained from data gathered during a diagnostic test evaluation study.

What does each individual letter represent?

What about each horizontal and vertical sum?

A

A = True positive

B = False positive

C = False negative

D = True negative.

A+B = Total positive tests

C+D = Total negative tests

A+C = Total amount of people with disease

B+D = Total amount of people without disease

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11
Q

What does sensitivity measure?

A

Proportion of all people with disease who test positive, or the probability that a test detects disease when disease is present.

AKA the true positive rate.

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12
Q

How do you calculate sensitivity?

A

Sensitivity = TP / (TP + FN)

Where TP = true positive. FN = false negative.

On a typical 2x2 plot, this is A / (A+C)

OR

Sensitivity = 1 - false negative rate

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13
Q

What is a highly sensitive test useful for?

A

SN-N-OUT - A highly SeNsitive test, when Negative, rules OUT disease.

A highly sensitive test indicates a low false negative rate.

Used for screening in diseases with low prevalence.

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14
Q

What does specificity measure?

A

Specificity is the proportion of all people without disease who test negative, or the probability that a test indicates non-disease when a disease is absent.

AKA true negative rate.

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15
Q

How do you calculate specificity?

A

Specificity = TN / (TN + FP)

In a 2x2 plot of test versus disease, this = D / (D+B)

OR

Specificity = 1 - false-positive rate

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16
Q

When is a highly specific test useful?

A

SP-P-IN = highly SPecific test, when Positive, rules IN disease

Value approaching 100% is desirable for ruling in disease and indicates a low false-positive rate. Highly specific tests are used for confirmation after an initial positive screening test.

17
Q

Do specificity and sensitivity vary with disease prevalence? If so, how?

A

NO. Specificity and sensitivity are fixed properties of a test.

18
Q

What does positive predictive value measure?

A

The proportion of positive test results that are true positive.

Or

The probability that a person actually has the disease given a positive test result.

19
Q

How do you calculate positive predictive value?

A

PPV = TP / (TP + FP)

On a 2x2 plot, PPV = A / (A+B)

20
Q

What does negative predictive value measure?

A

Proportion of negative test results that are true negative.

Or

Probability that person is actually disease free given a negative test result.

21
Q

How do you calculate negative predictive value?

A

NPV = TN / (FN + TN)

On a 2x2 plot NPV = D / (D+C)

22
Q

Do PPV and NPV vary with disease prevalence? If so, how?

A

Yes.

When prevalence increases (higher pretest probability), PPV increases

When prevalence increases, NPV decreases (inversely related to prevalence)

23
Q

What is incidence?

How do you calculate it?

A

The number of new cases per unit time.

Incidence rate = (# of new cases in a specified time period) / (Population at risk during same time period.)

Incidence looks at new cases (incidents).

24
Q

What is prevalence?

How do you calculate it?

A

Prevalence is the amount of disease in a population at risk.

Prevalence = (# of existinc cases) / (population at risk)

and

Prevalence is approximately = incidence rate x average disease duration

Prevalence > incidence for chronic diseases
Prevalence is approximately = incidence for short disease duration (colds, etc)

Prevalence looks at all current cases.

25
Q

What is an Odds ratio? How is it calculated?

When is it used?

A

Used in case-control studies.

Odds that the group with the disease (cases) was exposed to a risk factor (a/c) divided by the odds that the group without the disease (controls) was exposed (b/d)

OR = (a/c) / (b/d)

or

OR = AD/BC

26
Q

What is relative risk?

How is it calculated, and when is it used?

A

Used in cohort studies. Risk of developing disease in the exposed group divided by risk in unexposed group.

If prevalence is low, RR approximates OR.

RR = (a/a+b) / (c/c+d)

27
Q

What is relative risk reduction?

How is it calculated?

A

The proportion of risk reduction attributable to the intervention as compared to a control.

RRR - 1 - RR

28
Q

What is attributable risk?

How is it calculated?

A

The difference in risk between exposed and unexposed groups, or the proportion of disease occurrences that are attributable to the exposure.

AR = (a/a+b) - (c/c+d)

29
Q

What is absolute risk reduction?

How is it calculated?

A

ARR = differenc ein risk (not the proportion) attributable to the intervention as compared to a control.

(e.g., if 8% of people who receive a placebo vaccine develop flu versus 2% of people who receive a flu vaccine, then ARR = 8% - 2% = 6% or .06)

30
Q

What is number needed to treat?

How is it calculated?

A

Number of patients who need to be treated for one patient to benefit.

NNT = 1/ARR

ARR = absolute risk reduction

31
Q

What is number needed to harm?

How is it calculated?

A

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

Number needed to harm = 1/AR

AR = attributable risk

32
Q

What is precision?

A

The consistency and reproducibility of a test (reliability)

The absence of random variation in a test.

Random error - reduces precision in a test.

Higher precision reduces a test’s standard deviation.

33
Q

What is accuracy?

A

The trueness of test measurements (validity).

The absence of systematic error or bias in a test.

Systematic error reduces the accuracy of a test.