Module 4 Flashcards

1
Q

What is a research question?

A

Forms the basis of the objectives and hypotheses. It should address your population of interest, an intervention, a comparison group, and the outcome you are interested in investigating

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2
Q

What are objectives?

A

Define the specific aims of the study. As such, they need to specify the experiments that will be undertaken

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3
Q

What is a hypothesis?

A

It states the predicted research outcome; the null hypothesis (the opposite of what is predicted) is waht can be rejected in hypothesis testing. Should be stated at the beginning of an experiment

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4
Q

What is the aim of experimental studies

A

Establish causation by introducing a factor or change in order to rule out alternative causes for the resulting observation.

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5
Q

What is randomization?

A

Random allocation of participants to intervention and control groups. Aims to ensure groups are as similar as possible at the start of the study - accounts for known and unknown factors that may affect outcome

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6
Q

What is local control?

A

Practice and techniques used to ensure the intervention is applied uniformly and under standard conditions

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7
Q

What is replication?

A

Repetition of the experiment on many experimental units is needed to provide an estimate of experimental error. Number of replications is sample size

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8
Q

What are the 3 main purposes of experimental health research?

A

1- Discovery
2- Demonstrating efficacy and establishing safety
3- Monitoring effectiveness

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9
Q

What is meant by discovery in experimental health research?

A

Aims to advance fundamental knowledge about human biology

Results from such research may not be immediately used to improve human health

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10
Q

Describe basic research

A
  • Discovery-based
  • Focused on developing theories
  • Aims at furthering knowledge
  • Real world applications are not involved at this stage
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11
Q

Describe preclinical studies

A
  • Uses cell cultures of animals to monitor the effects of an intervention or treatment before it is tested in humans.
  • Focus on evaluating the efficacy and safety of a potential treatment for humans.
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12
Q

Describe clinical trials

A
  • Trials in humans
  • Designed to evaluate effectiveness of an intervention
  • Often split into 2 functions: prevention of illness or disease (prevention trial) and treating a disease or illness (therapeutic trial)
  • May either treat the individuals or groups as the experimental units
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13
Q

What are 4 important concepts of experimental research?

A
  • Independent and dependent variables
  • Causation
  • Experimental and control groups
  • randomization
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14
Q

What is the independent variable?

A

It is the controlled or manipulated variable by researches in order to observe the effect on the dependent variable
- Also called exposure, treatment, or intervention

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15
Q

What is the dependent variable?

A

What the researcher is most interested in monitoring

- Also called endpoint or outcome

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16
Q

What is the role of experimental evident in assessing causality?

A

Experimental manipulation of the independent variable leading to changes in the dependent variabl provides the strongest evidence for causality

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17
Q

What is causality?

A

A cause-effect relationship between independent and dependent variables

18
Q

What is a control group?

A

Subset of participants in an experiment that is not exposed to the independent variable

19
Q

What is an experimental group?

A

Subset of participants that is subjected to the independent variable
- also called treatment group or intervention group

20
Q

Why do we need a control group?

A
  • Provide a baseline measurement that can be compared to the experimental group
  • Help uncover relationship between independent and dependent variables because control group is subjected to all the same conditions except independent variables
21
Q

What is a placebo?

A

A substance or a product having no therapeutic effect

22
Q

What are lurking variables?

A

Hidden variables that affect the independent and dependent variables
Also called confounding variables

23
Q

What are the 3 types of randomization

A
  • Completely randomized design
  • randomized block design
  • matched pairs design
24
Q

Describe completely randomized design

A

All experimental units are randomly assigned to treatment groups

25
Q

A researcher wants to conduct an experiment to determine which environment is best suited for studying – a library, in one’s own room or outside. A total of 30 university students volunteer to participate in the experiment. Which type of randomization would be used?

A

Completely randomized design.

There are 3 treatments and 10 students will be assigned randomly to each

26
Q

What is a randomized block design?

A

Instead of directly assigning individuals to groups. They assign them to “blocks” based on a characteristics they believe has an effect on the study (eg: gender) first. Then the each block will be randomly assigned evenly to the treatments

27
Q

A researcher wants to conduct an experiment to determine which environment is best suited for studying – a library, in one’s own room or outside. A total of 30 university students volunteer to participate in the experiment. The researcher believes that gender has an effect on the results. Which type of randomization would be used?

A

Randomized block design
The researcher will first put the student into 2 blocks, male and female. Then he will assign 1/3 of the females and 1/3 of the males to each treatment

28
Q

What is a matched pair design?

A

Only comparing TWO treatments by using the same, or similar, experimental units

29
Q

What type of gasoline is more efficient? Type A gasoline or Type B gasoline? 3 cars will be used in this experiment. Which type of randomization would be used?

A

Matched-pair design, using the SAME experimental units

Researchers will use each 3 cars to test Type A and Type B gasoline subsequently and compare the results

30
Q

A researcher is trying to determine whether or not sleep deprivation has an effect on test scores. Which type of randomization would be used?

A

Matched-pair design, using SIMILAR experimental units

Researchers will pair students with similar GPA and then they will be split up into the 2 treatment groups

31
Q

What are the 3 common measures and analyses ?

A
  • Risk measures
  • Effect measure for time-to-event (survival) outcome
  • Intention-to-treat analysis
32
Q

What is a risk measure?

A

Probability of the endpoint occurring over a defined period of time. Given by the number of units in which the endpoint is observed divided by the number of units that were observed during the period of time.
Also called: Incidence or incidence proportion

33
Q

What is the risk difference?

A

Probability of the outcome occurring in the treatment group minus probability of it occurring in the control group
Also called: Absolute effect size or treatment effect

34
Q

What is the relative risk?

A

Ratio of probability of the outcome occurring in the treatment group and the probability of it occurring in the control group
Also called: relative probability or relative likelihood

35
Q

What is the hazard rate?

A

Speed at which the outcome is observed. Given by the number of units in which the outcome is observe divided by the sum of time each unit is observed
Also called: Incidence density or incidence rate

36
Q

What is the hazard ratio?

A

Speed at which unit in the treatment group develop the outcome divided by the speed at which units in the control group develop the outcome
Also called: rate ratio

37
Q

What is the survival proportion?

A

Proportion of units who survive (do not develop the outcome) over a defined period of time.
Also called: Probability of survival or survival

38
Q

What are effect measures for time-to-event?

A

For each experimental unit, time-to-event data consists of the following
- Length of time during which the outcome was not observed
- Indicator of whether the end of that period resulted in the outcome being observed or just the end observation
Frequently used in experimental studies as they allow examination of the time elapsing before the outcome occurs

39
Q

What happens if, when measuring time-to-event, the event has not occurred in some experimental units

A

The observations are referred to as ‘censored’. The relevant time is only known for the units with the outcome, it is not appropriate to analyze time as a continuous variable.
Censored observations would have to be excluded, which introduces bias

40
Q

What is intention-to-treat analysis?

A

Includes all randomized patient in the groups to which they were randomly assigned, regardless of their adherence with the entry criteria, regardless of the treatment they actually received, and regardless of subsequent withdrawal from treatment or deviation from the protocol
- once randomized, always analyzed-