Lectures

Biostatistics and Epidemiology Question Set 1

by Lecturio USMLE
(1)

Questions about the lecture
My Notes
  • Required.
Save Cancel
    Report mistake

    About the Lecture

    The lecture Biostatistics and Epidemiology Question Set 1 by Lecturio USMLE is from the course Biostatistics and Epidemiology - High Yield Questions.


    Included Quiz Questions

    1. Point prevalence of diabetes mellitus on December 31st , 2014
    2. Mid-year Population of this town in 2014
    3. Incidence density of diabetes mellitus in 2014
    4. Total number of births and deaths in 2014
    5. None of the answers are correct.
    1. The positive predictive value will increase in the second round.
    2. The specificity would increase in the second round.
    3. The sensitivity would increase further in the second round.
    4. The positive likelihood ratio will increase the second round.
    5. The sensitivity would decrease in the second round.
    1. Hawthorne effect
    2. Berksonian bias
    3. Attrition bias
    4. Rosenthal effect
    5. Confounding bias
    1. ANOVA
    2. Student t test
    3. Paired t test
    4. Kruskal Wallis test
    5. Wilcoxon sum rank test
    1. Unpaired t test
    2. Paired t test
    3. Wilcoxon signed rank test
    4. Wilcoxon sum rank test
    5. Friedman’s test
    1. 25
    2. 5
    3. 15
    4. 35
    5. 45
    1. Correlation can be done even though one variable is not normally distributed.
    2. Correlation cannot be done as one variable is not normally distributed.
    3. Correlation can be done as one variable is normally distributed.
    4. Correlation is not required in this case; non parametric tests should be done.
    5. Correlation is not required in this case; t test should be done.
    1. Retrospective cohort study design
    2. Case control study design
    3. Case-cohort study design
    4. Case crossover study design
    5. Nested case control study design
    1. Cohort study design
    2. Case control study design
    3. Retrospective cohort study design
    4. Randomised clinical trial design
    5. Cross sectional study design
    1. Clinical trial design
    2. Randomised clinical trial design
    3. Cohort study design
    4. Case crossover study design
    5. None of the answers are correct.
    1. 90/110 * 100%
    2. 90/150 * 100%
    3. 90/5000 * 100%
    4. 115/150 * 100%
    5. 115/1024 * 100%
    1. 18%
    2. 40%
    3. 10
    4. 20
    5. 65%
    1. 90/20
    2. 90/110
    3. 90/200
    4. 110/200
    5. 110/20
    1. 45/195
    2. 19.5/200
    3. 15/200
    4. 19.5/195
    5. 30/200
    1. 10
    2. 50
    3. 25
    4. 5
    5. 2
    1. He cannot commit a type 2 error.
    2. He didn’t commit a type 1 error.
    3. He should not have rejected the null hypothesis.
    4. 90% significance level should have been kept.
    5. He committed a type 2 error.
    1. If the null hypothesis is true, there is a 10% probability to get this difference of 0.4 gm/dl or higher, due to chance.
    2. If the null hypothesis is not true, 10% or higher , of the students still do not show any association between haemoglobin value and weight.
    3. If the null hypothesis is true, there is a 10% probability to get this difference of 0.4 gm/dl due to chance.
    4. If the null hypothesis is true, there is still a 10% probability not to get this difference of 0.4 gm/dl or higher, due to chance.
    5. If the null hypothesis is not true, there is still a 10% probability not to get this difference of 0.4 gm/dl or higher, due to chance.
    1. Odds of smoking, in bladder cancer patients, were 2.7 times to that of those without bladder cancer.
    2. The smokers had 2.7 times increased risk of developing bladder cancer when compared to those who do not smoke.
    3. Bladder cancer patients had 2.7 times increased risk of smoking when compared to those without bladder cancer.
    4. Odds of smoking in bladder cancer patients were 2.7 times higher when compared to those who do not smoke.
    5. Odds of smoking was 2.7 times higher in those patients who had a risk of developing bladder cancer in future.
    1. The association is not statistically significant and low education is not a risk factor.
    2. The association is not statistically significant but low education is a risk factor.
    3. The association is statistically significant but low education is not a risk factor.
    4. The association is statistically significant and low education is a risk factor.
    5. Cannot comment as the p value is not given.
    1. Total sample size of the study
    2. The mean height of the male students in that college
    3. Total number of male students in that college who did not take part in the study
    4. A sampling frame of all the male students in the college
    5. Given data is adequate and no more data is needed.

    Author of lecture Biostatistics and Epidemiology Question Set 1

     Lecturio USMLE

    Lecturio USMLE


    Customer reviews

    (1)

    5,0 of 5 stars
    5 Stars
    5
    4 Stars
    0
    3 Stars
    0
    2 Stars
    0
    1  Star
    0