A.
Errors in data analysis.
✓
B.
A systematic difference between the participants selected for a study and the target population, or between treatment groups.
✓
C.
A researcher's personal opinion.
✓
D.
The difficulty in recruiting participants.
✓
A.
A peer-reviewed journal article from 5 years ago.
✓
B.
A textbook chapter from 10 years ago.
✓
C.
A clinical practice guideline based on recent systematic reviews.
✓
D.
An anecdotal report from a colleague.
✓
C.
Post-market surveillance and drug safety profiles
✓
D.
Data analysis complexity
✓
A.
Patient-reported pain scores
✓
B.
Different dosages of pain medication
✓
A.
The ability to generalize findings to other settings.
✓
B.
The consistency of the findings over time and across researchers.
✓
C.
The accuracy of the interpretations.
✓
D.
The relevance of the study to clinical practice.
✓
A.
Participants behaving differently because they know they are being watched.
✓
B.
The researcher's expectations or preconceived notions unintentionally influencing the observation or interpretation of data.
✓
C.
The loss of participants from a study.
✓
D.
Errors in statistical calculation.
✓
A.
To publish the final findings.
✓
B.
To outline the plan for a research study for approval and funding.
✓
C.
To analyze the data.
✓
D.
To present the study's conclusions.
✓
C.
Randomized controlled trial
✓
A.
The number of patients who need to experience an adverse event.
✓
B.
The number of patients who need to be treated for one patient to benefit from an intervention.
✓
C.
The total number of patients in a study.
✓
D.
The number of treatments given per patient.
✓
