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Sample Size Calculation Importance
Ensures clear and trustworthy results, helps detect real differences, avoids wasting resources, prevents using too few or too many participants, and ensures applicability to the larger population.
Why start with more participants than sample size tables recommend?
To account for dropouts or non-completers, ensuring enough participants to draw valid conclusions.
Type I Error
A false positive; believing there’s a difference when there isn’t.
Type II Error
A false negative; believing there’s no difference when there actually is.
P-value
The chance of making a Type I error; researchers typically aim for P < 0.05 for statistical significance.
Power of a Study
The probability of correctly detecting a real effect, typically aimed to be 80% or 90%.
Informed Consent
Participants must be clearly informed about the study’s purpose, risks, and benefits.
Efficacy
How well a treatment works in controlled conditions, like a lab.
Effectiveness
How well a treatment works in real-world settings.
Internal Validity
Confidence that the study results are due to the intervention, not other factors.
External Validity
How well the results apply to the general population outside the study.
Four Phases of Drug Testing
Randomized Controlled Trials (RCTs) Purpose
Ethical Considerations in RCTs
Randomization must be ethical, informed consent is essential, placebos should not replace proven treatments, and trials need clear stop rules.
Gold Standard for Evaluating Treatments
Randomized controlled trials are considered the gold standard.
Importance of Clinical Trial Registration
Ensures transparency, prevents publication bias, avoids duplication, builds public trust, and adheres to ethical standards.
MRFIT Study Purpose
To assess if modifying risk factors reduces heart disease deaths.
MRFIT Study Findings
Risk factors improved in the intervention group, but there was no significant difference in death rates.