Summary: Advanced Statistics Drug Innovation

Read the summary and the most important questions on Advanced statistics DRUG INNOVATION

• 1 Refresher: hypothesis testing, t-procedures (t-tests and confidence interval estimation)

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• What is the definition of a confidence interval?

  A confidence interval is a range of likely values for a parameter, a range of values for the parameter that we have confidence in

• What does the p-value represent under a distribution curve

  The p-value is the area under the sampling distribution curve in the tail(s) beyond the observed test statistic, assuming the null hypothesis is true.

• 2 Sample size calculations for 1-sample, 2-sample or paired data studies using t-procedures; Wilcoxon's non-parametric tests

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• What are the precision criteria for confidence interval?

  The precision criteria for confidence interval are: Error margin E and confidence level 1-α are the precision criteria

• What is 1-alfa interval for the population mean my?

  Zie afbeelding

• What is the difference between a wilcoxon rank sum test and a wilcoxon signed rank test?

  The wilcoxon  rank-sum test (also called Mann-Whitney U test) compares two independent groups. The wilcoxon signed-rank test compares two paired samples

• 3 One proportion: Binomial test, confidence interval for one proportion (+required sample size) Comparing two proportions: Fisher's exact test, confidence interval for proportion difference

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• What is a Fisher exact test?

  De Fisher exact test is een statistische toets die je gebruikt om te onderzoeken of er een verband is tussen twee categorische variabelen, meestal in een 2×2 tabel.

• What is the null hypothesis van two proportion test?

  Zie afbeelding

• 4 Chi-squared tests for goodness of fit, for independence/association, and for homogeneity. Correlation.

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• What is the checked with following diagnostic plot? Would you say the assumption is reasonably met?

  ssumption of constant variance/spread/standard deviation
  assumption is reasonable, because the spread in residuals is similar across the

• 5 Simple linear regression: model, meaning of model parameters, estimation, testing, goodness of fit, checking model assumptions.

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• What is simple linear regression?

  A simple linear regression checks whether y is really dependent on x?

• What does epsilon stand for in a simple linear regression?

  Epsilon in a simple linear regression stands for all the factors that influence y but are not predicted by the model