BC201 - Advanced Statistics
Mihalis Tsagris
The course covers basic areas of statistics, such as graphical representations of data, random variables, types of sampling and design, estimation via maximum likelihood. Hypothesis testing and confidence intervals (for means and proportions), type I and II errors and p-values. Hypothesis testing via computational techniques (bootstrap and permutation). On a second phase, correlations for continuous variables (Pearson and Spearman coefficients), association of categorical variables (G2 test of independence) and linear regression. Finally, false discovery methods in multiple hypothesis testing will be mentioned. Demonstration and exercises using the R statistical package will be considered as well.
Textbook:
Biostatistics with R, An Introduction to Statistics Through Biological Data. Babak Shahbaba, 2012, Springer.
ΛιγότεραThe course covers basic areas of statistics, such as graphical representations of data, random variables, types of sampling and design, estimation via maximum likelihood. Hypothesis testing and confidence intervals (for means and proportions), type I and II errors and p-values. Hypothesis testing via computational techniques (bootstrap and permutation). On a second phase, correlations for continuous variables (Pearson and Spearman coefficients), association of categorical variables (G2 test of independence) and linear regression. Finally, false discovery methods in multiple hypothesis testing will be mentioned. Demonstration and exercises using the R statistical package will be considered as well.
Textbook:
Biostatistics with R, An Introduction to Statistics Through Biological Data. Babak Shahbaba, 2012, Springer.
The course covers basic areas of statistics, such as graphical representations of data, random variables, types of sampling and design, estimation via maximum likelihood. Hypothesis testing and confidence intervals (for means and proportions), type I and II errors and p-values. Hypothesis testing via computational techniques (bootstrap and permutation). On a second phase, correlations for continuous variables (Pearson and Spearman coefficients), association of categorical variables (G2 test of independence) and linear regression. Finally, false discovery methods in multiple hypothesis testing will be mentioned. Demonstration and exercises using the R statistical package will be considered as well.
Textbook:
Biostatistics with R, An Introduction to Statistics Through Biological Data. Babak Shahbaba, 2012, Springer.
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