Epidemiology Flashcards

1
Q

Disease specific mortality rate formula

A

of death from disease/number of population at mid year.

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2
Q

what is kappa value and the specific important cutoff

A

Kappa value is used to determine observer agreement.

0 is no agreement. closer to 1 is good agreement.

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3
Q

What is the rate of elder abuse or neglect in the past year

A

10%

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4
Q

What is the pink sheet

A

a publication of biopharma regulatory, legislative, and business developments

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5
Q

What is the orange book

A

a list product produce by the FDA of approved drugs and their generic equivalents

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6
Q

What is the DALY

A

Measures healthy life lost to disability

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7
Q

What is the QALY

A

Measure of disease burden which include quality and quantity

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8
Q

What is the cost - benefit analysis

A

Determines if the monetary value of an intervention’s consequences exceed the cost and by how much

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9
Q

Cost minimization

A

determines the least costly intervention that will accomplish identical results.

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10
Q

What happens to TSH after birth and screening impact

A

Physiological neonatal tsh surge. TSH rises abruptly 30 60 minutes after birth.

Wait 48 -72 hrs for congenital hypothyroidism screening

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11
Q

Absolute risk reduction

A

Absolute difference in outcome between a treatment and a control group.

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12
Q

Formula for Positive predictive value

A

A/A +B.
Of those who tested positive, how many actually had disease.
Can be determined by population prevalence, sensitivity (D; % (ND)) and Specificity (A)

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13
Q

Case fatality formula

A

Death from disease x/ all those with disease X

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14
Q

Relative Risk formula

A

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

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15
Q

Net sensitivity

A

S1 * S2
Will always be lower than both sensitivities

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16
Q

When is odds ratio a close approximation of the relative risk

A

When the disease is relatively rare.

17
Q

NNT

A

1 - ARR (incidence in exposed- incidence unexposed)

18
Q

Relative Risk reduction

A

AR/incidence exposed

19
Q

NNH

A

number of patients needed to cause serious harm
1/ARI (incidence in exposed - incidence in unexposed. )

20
Q

Type one error

A

Concluding that there is a difference when there really isn’t a difference
Probability = alpha

21
Q

Type 2 error

A

Concluding that there is not a difference in the treatment when there really is a difference
Probability: beta

22
Q

power

A

1 - Beta or 1 minus the probability of a type 2 error.

23
Q

How do you decrease the alpha and beta error without increasing the sample size

A

Increase the effect size

24
Q

Life tables

A

used to demonstrate the survival experience of a cohort
The analysis assumes that there is no improvement in treatment effectiveness
patients can enter at different times
can be used if patients are lost to follow up

25
Q

Multiple comparisons problem

A

When a researcher fails to state a hypothesis before conducting a study and uses many characteristics to make a variety of comparison.

Ex. retrospective review looking at 50 characteristics. Some will be statistically significant by chance alone.

26
Q

Interquartile range

A

Q3 - Q1

Q1 middle value in the first half of the ranked order set
Q2 Median value
Q 3 middle value in the second half of the ranked order set.

27
Q

Deterministic process

A

Process that is non-genetic, non-cancer health endpoint with a does threshold and where severity is function of dose

28
Q

Length time bias

A

Overestimation of survival due to
excess case due to slow progression
usually detected during screening

29
Q

lead time

A

duration of time between detection and its usual clinical presentation/diagnosis

30
Q

Standardized mortality rate calculation

A

observed death/expected deaths.
expected deaths = (death rate in general population * population of interest.)

31
Q

What pediatric population has the highest rate of drowning

A

males under the age of 5

32
Q

What are the global disease mortalities for children under 5

A
  1. respiratory illnesses. 2. diarrheal illness. 3 malaria. 4 injuries.
33
Q

Formula for the 95% CI of the mean

A

x +/- Z.975 * (sd/square root of the mean)

34
Q

R2

A

The correlation coefficient. Corresponds to the amount of the variation in BMI that is accounted for by the equation. Ex. .64 of the bmi

35
Q

Calculate discount rate

A

x * y/discount rate ^# years

36
Q

formula for efficacy

A

(rate in placebo group - rate in vaccine group)/ (rate in placebo group)