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Interpreting evidence

Lareyna Mcmenemy MD4001 Englisch 12 Karten

Karten in diesem Stapel (12)

  1. 1Define Null hypothesisHypothesis that there is no significant difference between specified populations, any observed difference is due to sampling or experimental error
  2. 2Define P-value & state its significance in hypothesis testingThe probability of obtaining test results at least as extreme as the results actually observed during the test, assuming that the null hypothesis is correct
    If the p value is <0.05 the null hypothesis is rejected
  3. 3Effect of multiple testingEach time we test a difference we use a 5% level of significance
    If we do many tests we increase our chances of a false positive i.e. rejecting a true null hypothesis
  4. 4Explain the use of t-testsUsed to determine whether two means are significantly different from each other
    - comparison of a single mean with a hypothesised value
  5. 5Explain the use of chi-square tests- Chi square for independence: association between two categorical variables
    - Chi square for goodness of fit: test the difference between frequencies of a single categorical variable & some hypothesised frequency
  6. 6Explain 1 & 2 way ANOVAANOVA is an extension of a T-test which can deal with more than 2 means:
    1 way ANOVA - compared 1 independent variable & multiple outcomes
    2 way ANOVA - compared 2 independent variables & 1 outcome
  7. 7Name the non-parametric tests for comparing meansT-test --> Mann-Whitney U test
    Paired T-test --> Wilcoxon Signed-Rank test
    ANOVA --> Kruskal-Wallis test
    Pearson correlation --> Spearman correlation
  8. 8Define correlationMeasures the strength of the relationship between 2 numerical variables
  9. 9Define regressionPredicts a relationship between an independent & a dependent variable
  10. 10How do you calculate relative risk reduction?1 - relative risk (risk of event in treatment group / risk of event in control group)
  11. 11How do you calculate absolute risk reduction?Risk of event in control group - Risk of event in treatment group
  12. 12Explain the meaning of the 95% confidence interval95% certain that the true value lies within this range

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MD4001 (Non-systems) Karteikarten am Interpreting evidence, erstellt von Lareyna Mcmenemy am 13/12/2019.
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Lareyna Mcmenemy
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