Interleaves Flashcards
What is pseudoreplication?
The error that occurs when samples are not independent, but they are treated as though they are.
How can pseudoreplication be avoided?
Avoid by summarizing data on individuals and remembering that sampling units may be larger than the individual.
What are the four steps to making a plan for confirmatory research?
- Develop clear statement of the research question
- List the possible outcomes
- Develop experimental plan - keep it simple
- Discuss the design with others
What is the breakdown of step 1: develop clear statement of the research question?
- Why interesting/important?
- What’s already known?
- What contrasting predictions do the hypotheses make?
What is the breakdown of step 2: list the possible outcomes?
- Can you draw firm conclusion no matter what the outcome?
- Simulate data to explore possible outcomes
- What is the desired scope of inference?
What is the breakdown of step 3: develop experimental plan?
- How many treatments?
- What effect size is meaningful?
- Necessary sample size for desired power?
- Confounding variables?
- Avoid pseudoreplication
What is the breakdown of step 4: discuss design with others?
- Without proper consultation, studies can be dead on arrival.
Why are controls important?
A drug had an 88% success rate and a placebo group was also tested with 40% showing similar improvement. Drug was effective but not to the same register as originally thought.
What is the placebo effect?
The improvement in medical condition that results from the psychological effects of medical treatment.
WHAT TEST TO USE
INTERLEAVES SLIDE 16-18
What is data dredging?
Inflating the Type 1 error rate by carrying out many statistical tests on a single set of data.
- Seriously decreases power of each individual test.
Stats mistakes facts:
30%-50% of medical studies include stats mistakes, 8% is enough to change conclusions.
What is analytical flexibility?
A number of different statistical methods and decisions could be applied to address the same hypothesis.
This is especially true for complex study designs.
These different methods can yield different conclusions, but hopefully most converge.
What is publication bias?
What we see in the peer-reviewed literature is a biased representation of the truth.
Ex. bias toward positive result, HARKing, etc.