biostats = lame Flashcards

1
Q

Design:
Collect data from a group of people to assess the freqency of disease (and related risk factors) at a particular point in time.

Ask what is happening?

Study type?

A

Cross-sectional Study

  • observation
  • measure the disease prevalence
  • can show risk factor association

YOU CANNOT establish causality

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Design: Compare a group of people with disease to a group without the disease. Looks for a prior exposure or risk factor, asks what happenED?

A

Case-Control
-observation, prospective or retrospective

You calculated an odds ration
“Patients with COPD had higher odds of history of smoking than those without COPD”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Design:
Compares a group with a give exposure or risk factor to a group without such exposure. Looks to see if exposure increases the likelihood of disease. Can be prospective asks who will develop the disease? or retrospective, who developed the disease the exposed vs non exposed?

A

Cohort study
-calculate relative risk RR
“smokes had a higher risk of developing COPD than nonsmokers”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Design: Compares frequency with which both monozygotic twins or both dizygotic twins develop same disease

A

Twin concordence study

-measure heritability and influence of environmental factors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Design: Compares siblings raised by biological vs. adoptive parents

A

Adoption study

Measures heritability and influence of environmental factors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

How to improve study quality in random trials

A

randomized, controlled and double blinded. Triple blind refers to the additional blinding of the researchers analyzing the data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Drug trial phases

A

Phase 1: small number of healthy volunteers
is it safe?

Phase II: Small number of patients with the disease
Does it work?

Phase III: Large number of patients randomly assigned either to the treatment under investigation or to the best available treatment (or placebo)
Is it good or better?

Phase IV: postmarketing surveillace trial of patients after approval, Can it stay? Detects rare or long-term adverse effects. Can result in a drug being withdrawn

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Incidence

A

looks at new cases, incidents

Incidence rate = # of new cases in a specified time period/population at risk during same time period

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Prevalence

A
Prevalence looks at all current cases
# of existing cases/population at risk
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

prevalence roughly equal to the incidence rate X average disease duration

A
  • incidence and prevalence for common short duration diseases are similar like the cold
  • the prevalence > incidence for a chronic disease like DM
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

How to make a 2x2 square for quantifying risk

A
top disease + or -
side we have risk factor + or _
  \+-
\+ab
-cd
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Odds ratio - typically used for

A

Case-control
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

a/c /b/d = ad/bc

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Relative risk typically used for

A

cohort studies
Risk of developing disease in the exposed group divided by the risk in the unexposed group 21% of smokers develop lung cancer vs 1 % of non smokers 21/1
if prevalence is low RR roughly = OR

rr= a/a+b /c/c+d

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

relative risk reduction RRR

A

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

RRR = 1-RR

ex if 2% of patients who recieve the flu shot (risk) got the flu and 8% of patients who did not get the flu shot got the flu (no shot risk) then rr = 2/4 = 0.25
RRR = 1-0.25 = 0.75

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Atributable risk

A

the difference in risk between the exposed and the unexposed groups, or proportion of disease occurrences that are attributable tot he exposures.
AR = a/a+b - C/C+D

so if 21% risk of lung cancer in smokers and a 1% risk in non smokers than the AR = 21-1 = 20%

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Absolute risk reduction ARR

A

the difference in risk (not the proportion) attributable to the intervention as compared to a CONTROL

so if 8% of people who recieve a placebo vaccine get the flu and 2% of people who recieve a flu vaccine get the flu
then ARR= 8% - 2% = 6%

17
Q

number needed to treat

A

number of patients who need to be treated for 1 patient to benefit
1/ARR (absolute risk reduction)

18
Q

number need to harm

A

number of patients who need to be exposed to risk facotr for 1 patient to be harmed
1/AR (attributable risk)

19
Q

random error

A

reduces precision in a test, increased precision –> decreased standard deviation

20
Q

Standard error of the mean:

A

SEM = sigma / squareroot of n

n= sample size
sigma = standard error

SEM decreases at N increases

21
Q

postive skew

A

-think shifted to left

mean>median>mode

22
Q

negative skew

A

think shifted the the right

mode>median>mean