A study is funded by the tobacco industry to examine the association between smoking and lung cancer. They design a study with a prospective cohort of 1,000 smokers between the ages of 20-30. The length of the study is five years. After the study period ends, they conclude that there is no relationship between smoking and lung cancer. Which of the following study features is the most likely reason for the failure of the study to note an association between tobacco use and cancer?
ALate-look bias
BLatency period
CConfounding
DEffect modification
EPygmalion effect
You are conducting a study comparing the efficacy of two different statin medications. Two groups are placed on different statin medications, statin A and statin B. Baseline LDL levels are drawn for each group and are subsequently measured every 3 months for 1 year. Average baseline LDL levels for each group were identical. The group receiving statin A exhibited an 11 mg/dL greater reduction in LDL in comparison to the statin B group. Your statistical analysis reports a p-value of 0.052. Which of the following best describes the meaning of this p-value?
AThere is a 95% chance that the difference in reduction of LDL observed reflects a real difference between the two groups
BThough A is more effective than B, there is a 5% chance the difference in reduction of LDL between the two groups is due to chance
CIf 100 permutations of this experiment were conducted, 5 of them would show similar results to those described above
DThis is a statistically significant result
EThere is a 5.2% chance of observing a difference in reduction of LDL of 11 mg/dL or greater even if the two medications have identical effects
A randomized control double-blind study is conducted on the efficacy of 2 sulfonylureas. The study concluded that medication 1 was more efficacious in lowering fasting blood glucose than medication 2 (p ≤ 0.05; 95% CI: 14 [10-21]). Which of the following is true regarding a 95% confidence interval (CI)?
AIf the same study were repeated multiple times, approximately 95% of the calculated confidence intervals would contain the true population parameter.
BThe 95% confidence interval is the probability chosen by the researcher to be the threshold of statistical significance.
CWhen a 95% CI for the estimated difference between groups contains the value ‘0’, the results are significant.
DIt represents the probability that chance would not produce the difference shown, 95% of the time.
EThe study is adequately powered at the 95% confidence interval.
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