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  • Question 1 - Which one of the following statements regarding the normal distribution is correct? ...

    Incorrect

    • Which one of the following statements regarding the normal distribution is correct?

      Your Answer: Is also referred to as the binomial distribution

      Correct Answer: Mean = mode = median

      Explanation:

      Normal distribution, also known as the Gaussian distribution, is a probability distribution that is symmetric about the mean. The normal distribution has the following properties:- It is symmetric around the mode, the median and the mean of the distribution.- It is unimodal- The area under the curve and over the x-axis is unity (i.e. equal to one).- Its density has two inflection points.- Its density is log-concave.The standard deviation (SD) is a measure of how much dispersion exists from the mean. SD = square root (variance)

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      38.4
      Seconds
  • Question 2 - 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 null hypothesis is rejected when it is true

      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
      35.3
      Seconds
  • Question 3 - Empagliflozin was found to reduce the risk of cardiovascular deaths, non-fatal myocardial infarction...

    Correct

    • 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: 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
      24.6
      Seconds
  • Question 4 - 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:

      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
      0
      Seconds
  • Question 5 - 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:

      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
      0
      Seconds
  • Question 6 - Choose the standard method for comparing distributions in data sets (such as between...

    Incorrect

    • Choose the standard method for comparing distributions in data sets (such as between the expected frequency of an event and the observed frequency of an event) from the list of options.

      Your Answer:

      Correct Answer: Chi squared (X²) test

      Explanation:

      The Chi-squared test evaluates if two variables are related. The other statistical tests mentioned do not perform this function.

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      0
      Seconds
  • Question 7 - 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:

      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
      0
      Seconds
  • Question 8 - A study is carried out to assess the efficacy of a new anti-epileptic...

    Incorrect

    • A study is carried out to assess the efficacy of a new anti-epileptic drug for children with absence seizures. The total number of the children selected for the study was 400, from which 150 children were assigned to take the new drug and 250 children were assigned in the control group. After a period of four months, only 15 children taking the new drug had a seizure compared to 100 children from the control group who had seizure. What is the correct value regarding the relative risk reduction?

      Your Answer:

      Correct Answer: 75%

      Explanation:

      Relative risk reduction (RRR) tells you by how much the treatment reduced the risk of bad outcomes relative to the control group who did not have the treatment. In the previous example, the relative risk reduction of fever and rash in the group of the children on the intervention was 40 per cent (1 – 0.6 = 0.4 or 40 per cent). RRR = (EER -CER) / CER = (0.1 – 0.4) / 0.4 = -0.75 or 75% reduction.

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      0
      Seconds
  • Question 9 - A study is carried out to assess the efficacy of a rapid urine...

    Incorrect

    • A study is carried out to assess the efficacy of a rapid urine screening test developed to detect Chlamydia. The total number of people involved in the study were 200. The study compared the new test to the already existing NAAT techniques. The new test was positive in 20 patients that were Chlamydia positive and in 3 patients that were Chlamydia negative. For 5 patients that were Chlamydia positive and 172 patients that were Chlamydia negative the test turned out to be negative. Choose the correct value regarding the negative predictive value of the new test:

      Your Answer:

      Correct Answer: 172/177

      Explanation:

      The definition of negative predictive value is the probability that the individuals with truly negative screening test don’t have Chlamydia. The equation is the following: Negative predictive value = Truly negative/(truly negative + false negative) = 172 / (172 + 5) = 172 / 177

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      0
      Seconds
  • Question 10 - There will be a proportion of people in a population who have the...

    Incorrect

    • 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:

      Correct Answer: Prevalence

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

    • This question is part of the following fields:

      • Medicine
      • Research Skills
      0
      Seconds

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Medicine (1/3) 33%
Research Skills (1/3) 33%
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