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  • Question 1 - What is the correct formula to calculate the positive predictive value?(TP = true...

    Incorrect

    • What is the correct formula to calculate the positive predictive value?(TP = true positive; FP = false positive; TN = true negative; FN = false negative)

      Your Answer: Sensitivity / (1 - specificity)

      Correct Answer: TP / (TP + FP)

      Explanation:

      Positive predictive value is the probability that subjects with a positive screening test truly have the disease.Positive predictive value = true positive / ( true positive + false positive)

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      5.3
      Seconds
  • Question 2 - Which one of the following statements regarding epidemiological measures is correct? ...

    Incorrect

    • Which one of the following statements regarding epidemiological measures is correct?

      Your Answer: The prevalence is the number of new cases per population in a given time period

      Correct Answer: Cross-sectional surveys can be used to estimate the prevalence of a condition in the population

      Explanation:

      The incidence rate is the number of new cases per population at risk in a given time period. For example, if a population initially contains 1,000 non-diseased persons and 28 develop a condition over two years of observation, the incidence proportion is 28 cases per 1,000 persons per two years, i.e. 2.8% per two years.Prevalence is the proportion of a particular population found to be affected by a medical condition (typically a disease or a risk factor such as smoking or seat-belt use). It is derived by comparing the number of people found to have the condition with the total number of people studied, and is usually expressed as a fraction, as a percentage, or as the number of cases per 10,000 or 100,000 people.Incidence should not be confused with prevalence, which is the proportion of cases in the population at a given time rather than rate of occurrence of new cases. Thus, incidence conveys information about the risk of contracting the disease, whereas prevalence indicates how widespread the disease is.

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      3.5
      Seconds
  • Question 3 - Empagliflozin was found to reduce the risk of cardiovascular deaths, non-fatal myocardial infarction...

    Incorrect

    • Empagliflozin was found to reduce the risk of cardiovascular deaths, non-fatal myocardial infarction and non-fatal stroke when added to standard treatment plans in patients with type 2 diabetes mellitus. This information was shared in 2015 by The New England Journal of Medicine and the results were expressed per 1000 patient years. In fact, empagliflozin had an event rate of 37.3/1000 patient years and placebo an event rate of 43.9/1000 patient years. How many patients who are at high cardiovascular risk need to be treated with empagliflozin to prevent a cardiovascular death, a non-fatal myocardial infarction or a non-fatal stroke?

      Your Answer: 1000

      Correct Answer: 150

      Explanation:

      The number needed to treat (NNT) is an absolute effect measure that has been used to assess beneficial and harmful effects of medical interventions. In this case the NNT can be calculated as follows: NNT = 1/ Absolute risk reduction (ARR). ARR=(Control event rate expressed per 1000 patient years) – (Experimental event rate expressed per 1000 patient years) = 43.9-37.3 = 6.6/1000 patient yearsNNT=(Patient years)/ARR = 1000/ 6.6 = 151.5. The closest to 151.5 is 150, thus it is the correct answer.

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      3.7
      Seconds
  • Question 4 - A cohort study is developed to assess the correlation between blood pressure and...

    Incorrect

    • A cohort study is developed to assess the correlation between blood pressure and working long hours. After 10 years of follow-up and for the 1050 individuals working less than 40 hours per week, 1000 patients had normal blood pressure and 50 patients were diagnosed with hypertension. For the 660 patients working more than 40 hours per week, 600 patients had normal blood pressure and 60 patients were diagnosed with hypertension. If you work more than 40 hours per week, what is the odds ratio of developing hypertension compared to the individuals working less than 40 hours per week?

      Your Answer: 50/60

      Correct Answer: 2

      Explanation:

      An odds ratio (OR) is a measure of the association between an exposure and an outcome. The OR represents the odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure. Odds ratios are most commonly used in case-control studies, however they can also be used in cross-sectional and cohort study designs as well (with some modifications and/or assumptions). Wherea = Number of exposed casesb = Number of exposed non-casesc = Number of unexposed casesd = Number of unexposed non-casesOR=(a/c) / (b/d) = ad/bc

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      3.5
      Seconds
  • Question 5 - In a study, 50 out of 100 smokers developed lung cancers and 50...

    Incorrect

    • In a study, 50 out of 100 smokers developed lung cancers and 50 out of 200 non-smokers developed lung cancers. Which of the following is accurate?

      Your Answer: Relative risk =5

      Correct Answer: Relative risk=2

      Explanation:

      Relative risk = (Incidence in exposed group)/incidence in unexposed group). So in this case RR = (50/100)/(50/200) = 2.

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      1.7
      Seconds
  • Question 6 - There is a measure of dispersion of a set of data from its...

    Correct

    • There is a measure of dispersion of a set of data from its mean. Which of following is the best term which can describe the above?

      Your Answer: Standard deviation (root mean square deviation)

      Explanation:

      Standard deviation is defined as the measure of dispersion of a set of data from its mean. It measures the absolute variability of a distribution; the higher the dispersion or variability, the greater is the standard deviation and greater will be the magnitude of the deviation of the value from their mean.

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      6.8
      Seconds
  • Question 7 - Which one of the following statements best describes a type II statistical error?...

    Incorrect

    • Which one of the following statements best describes a type II statistical error?

      Your Answer: The p value fails to reach statistical significance

      Correct Answer: The null hypothesis is accepted when it is false

      Explanation:

      In statistical hypothesis testing there are 2 types of errors:- type I: the null hypothesis is rejected when it is true – i.e. Showing a difference between two groups when it doesn’t exist, a false positive. – type II: the null hypothesis is accepted when it is false – i.e. Failing to spot a difference when one really exists, a false negative.

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      5.5
      Seconds
  • Question 8 - A cohort study is being designed to look at the relationship between smoking...

    Incorrect

    • A cohort study is being designed to look at the relationship between smoking and prostate cancer. What is the usual outcome measure in a cohort study?

      Your Answer: Experimental event rate

      Correct Answer: Relative risk

      Explanation:

      A cohort study is a particular form of longitudinal study that samples a cohort (a group of people who share a defining characteristic, typically those who experienced a common event in a selected period, such as birth or graduation), performing a cross-section at intervals through time. The relative risk (RR) or risk ratio is the ratio of the probability of an outcome in an exposed group to the probability of an outcome in an unexposed group. Relative risk is used in the statistical analysis of the data of experimental, cohort and cross-sectional studies, to estimate the strength of the association between treatments or risk factors, and outcomes.

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      7.5
      Seconds
  • Question 9 - A case-control study is developed to assess passive smoking as a risk factor...

    Incorrect

    • A case-control study is developed to assess passive smoking as a risk factor for the development of asthma in children. The total number of patients recruited for this study is 200. 40 out of the 200 patients report at least one parent smoking in the house when they were younger. 200 more people without asthma are recruited and 20 out of them report that at least one parent smoked in the house when they were younger. What is the odds ratio of patients with asthma having been exposed to passive smoking during their childhood?

      Your Answer: 0.5

      Correct Answer: 2.25

      Explanation:

      An odds ratio (OR) is a measure of association between an exposure and an outcome. The OR represents the odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure. Odds ratios are most commonly used in case-control studies, however they can also be used in cross-sectional and cohort study designs as well (with some modifications and/or assumptions). Wherea = Number of exposed casesb = Number of exposed non-casesc = Number of unexposed casesd = Number of unexposed non-casesOR=(a/c) / (b/d) = ad/bc

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      56.1
      Seconds
  • Question 10 - There will be a proportion of people in a population who have the...

    Correct

    • There will be a proportion of people in a population who have the given condition, disease or attribute at a specified point in time or over a specified period of time. Which of following is the best term which can describe the above?

      Your Answer: Incidence

      Explanation:

      Prevalence refers to the total number of cases of a particular disease or condition present in a population at a specific point in time or over a specified period. It provides a measure of how widespread the disease or condition is within the population.

      Specificity and sensitivity are terms used to describe the accuracy of diagnostic tests.

      Probability refers to the likelihood of an event occurring.

      Incidence isĀ a measure of how commonly or frequently a disease occurs in a specified population over a period by providing a quick measurement of new diseaseĀ diagnoses.

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      1.4
      Seconds

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Research Skills (2/10) 20%
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