Modules 12 and 13: Randomized Control Trials Part 1 and 2 Flashcards
Identify 4 sampling techniques.
- Simple random sampling
- Systematic sampling
- Stratified sampling
- Convenience sampling
Identifying a collection of urban or rural hospitals, then selecting from each of these, is an example of _________ sampling.
stratified
Identify 3 randomization techniques.
- Simple randomization
- Stratified randomization
- Block randomization
What are strengths of the RCT?
- Safety and efficacy
- Strong evidence for casual relationship
- High degree of internal validity
- Inclusion/exclusion criteria
Why do RCTs have a high degree of internal validity?
Randomization and manipulation of intervention
What are weaknesses of the RCT?
- Conducted in artificial environments
- Few potential casual factors to explore
- Does not reveal mechanism of action of therapy - drug works, but how?
RCTs being conducted in artificial environments is a weakness because ….
- They may not be generalizable
2. Lower external validity
How is sample size influenced by alpha?
As alpha DECREASES:
N needs to increase,
How is sample size influenced by effect size?
As effect size DECREASES, N needs to increase.
As effect size INCREASES, N needs to decrease.
How is sample size influenced by variability (standard deviation)?
Larger variability requires a higher N.
Smaller variability requires only a smaller N (in comparison).
How is sample size influenced by the homogeneity of the population?
N decreases with the homogeneity of the population.
10 deaths (of 100) occur in the old therapy. 8 deaths (of 100) occur in the new therapy.
Calculate relative risk reduction.
RRR = (old-new)/old RRR = 0.20 or 20%
10 deaths (of 100) occur in the old therapy. 8 deaths (of 100) occur in the new therapy.
Calculate absolute risk reduction. How is this reported?
ARR = old-new ARR = 0.10-0.08 = 0.02
2 lives are saved out of 10 deaths associated with the new drug. OR - 2 lives are saved due to the drug.
How is the RRR misleading compared to the ARR?
20% is great marketing! But only 2 are really saved.
10 deaths (of 100) occur in the old therapy. 8 deaths (of 100) occur in the new therapy.
Calculate “number needed to treat”.
NNT = 1/ARR NNT = 50
50 patients would have to receive the new drug for 1 to benefit.