Lecture 3 Flashcards

1
Q

Describe Koch’s postulates

A

Koch’s postulates are about microorganisms it was focused on a relationship between a causative microbe and disease

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

List Koch’s postulates (4)

A
  • The bacteria must be present in every case of the disease.
  • The bacteria must be isolated from the host with the disease and grown in pure culture.
  • The specific disease must be reproduced when a pure culture of the bacteria is inoculated into a healthy susceptible host.
  • The bacteria must be recoverable from the experimentally infected host.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

List Hill’s criteria

A
  • Study design, its ranked according to their ability to demonstrate casualty.
    -strength of association, its the relationship b/w the cause and effect
    -Consistency
    -Correct temporal relationship, cause must come before the effect
    -Dose response relationship between exposure and severity of the outcome, is it reversible and whats the threshold level
    -Plausibility, has to make sense with scientific information
    -specificity
    -analogy- comparing the cause and effect
    Stella Dun Can’t Come As She Pees Snakes
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Describe Evan’s postulates

A

everyone is an individual and will not response to the same disease in the same way
Not all causal factors have the same weight
More than 1 factor could be responsible for the disease

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

What are the steps for epidemiology test

A

Step 1 come up with the objective of this study
-association between factor and disease and strength of association
Statically signifcance
-difference, is there a big difference
Step 2 what type of data do you have
-is it proportional data or interval/ratio
Step 3 what type of study design are you using observational or experimental they will differ in the end goal
Step 4 are the groups your comparing independent (most cases) or matched (paired, matched characteristics you use a matched study design, therefore using smaller sample size)?
Step 5 choose the best way to analyse data
-epidemiological
-Statistical
-chi-square
-t test

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

What is RCT

A

RCT is randomised controlled clinical trial and its used to compare therapies

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

What is unique to a RCT

A
  • subjects are randomly assigned to comparison groups
  • the investigator manipulates treatment
  • The investigator compares the subjects studies with an appropriate control group
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Why do we need control

A
  • Disease will fluctuates its not at a constant level
  • Predictable improvement
  • Hawthorne effect (physiotherapy) placebo effect (you think it works and it does)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Define the regression to the mean

A

Regression to the mean is stats if you take a sample of the population they will have a sample means, you have lots of sample means which will move towards to the total population mean
The more you sample the more then mean moves

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

When would we not use a control?

A

You can use the same individual as the control, so measure something and then intervene and measure it again,
a weakness here is the stress measurement and time of the measurement, the large time between the 2 measurement ^creases the chance that the environment and the physiology could change effecting the results

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What does random allocation mean?

A

Every individual has an equal chance of being chosen

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Explain the difference between efficacious and effective treatment

A

Efficacious treat is one the works for those who receive it

Effective treatment is the one that works for those whom it is offered too.

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

Where do the subjects come from?

A

It will depend on the study and the money involved, how close is the species to who will actual use the product

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

What is the weakness of this study design?

A

Individuals are different, this comes back to sample size, which takes into account the variation between individuals to over come this issues you the cross over design

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

What is the advantage of this study design

A

advantage is getting around the individual variation and therefore the sample size is smaller and the animals are getting both the treatments.

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

What is the disadvantage of this study design

A

Is there will be carry over effects from the first treatment will be carrier over to the second design

17
Q

List threats to external validity

A

Threats to external validity
Volunteer bias; the volunteers don’t represent the whole populations
Patient compliance getting people to actually do what they are meant to for the experiment
Researcher bias; you see what you want to see

18
Q

How do you figure out the sample size

A

There are 2 ways to figure out the sample size
You have to start with an estimate to work out the sample size which will be based on the estimate, so you need to know what you want to end up on

19
Q

Explain the relationship between sample size and difference between the groups

A

> (bigger) the different bw 2 groups = < (smaller) the sample size < (smaller) the difference bw 2 groups the > (bigger) the sample size

20
Q

Define correlation

A

Correlation is Looking at association bw 2 variables

21
Q

When should you use the Pearson product moment correlation coefficient

A

to see if there is a relation bw the 2 variables

22
Q

Define interpretation of the size of a correlation

A

interpretation of the size of a correlation is the strength of the correlation. if its large its strong if its small its weak
Strong correlation doesn’t mean 1 = 1 the other so if you increase in height doesn’t mean you will increase in weight or vice versa

23
Q

When is the regression equation used

A

the regression equation is used for predicting and forecasting data.