12:11

Cellular automata tutorial - the basics

14:55

Gene set analysis - GSEA and Fisher's exact test

13:03

Fisher's test and how to calculate the exact p-value

13:08

Permutations Combinations and the Hypergeometric distribution

16:58

Canonical correlation analysis - explained

14:59

Partial least squares regression (PLSR) - explained

14:48

Principal component regression (PCR) - explained

06:54

PLS-DA

14:01

Random forest classification - simply explained

14:08

Decision trees for classification - explained

10:54

k-means clustering - explained

11:48

Understanding cluster heat maps

14:16

Hierarchical clustering - explained

13:24

p-values - a deeper understanding | alpha | t-statistics

15:13

FDR - Storey's method and q values

10:12

FDR - Benjamini-Hochberg explained

10:28

False discovery rate (FDR) - explained | vs FWER

10:56

Mahalanobis distance for classification | Machine Learning

15:38

K nearest neighbors (KNN) - explained | validation

06:59

How to calculate the likelihood ratio

11:12

How to select a post hoc test

08:36

Post hoc test | Tukey's test and Dunnett's test – Explained

07:08

Post hoc test | Holm - Explained

08:39

Post hoc test | Bonferroni - explained

10:20

Post hoc test | Fisher's LSD – explained

12:21

Familywise error rate (FWER) - explained

08:48

Two-way ANOVA by hand

12:45

Two-way ANOVA - Within-Within, Between-Between, Mixed, type I, II, III models

15:31

Two-way ANOVA - the basics | interaction | two-way vs one-way

18:36

How to choose an appropriate statistical test

15:08

Multiple linear regression - explained with two simple examples

08:41

Linear regression | the R-squared value

09:50

Linear regression | hypothesis testing

11:34

Least squares - explained with a simple numeric example

14:22

Linear regression | the basics - for beginners

08:05

Spearman's rank correlation | Pearson VS Spearman

07:28

Correlation | hypothesis testing | assumptions

12:40

Correlation - the basics | Pearson correlation

15:32

Statistical power and sample size calculations

08:50

The probability of making a type 2 error | explained with a simple example (part 2/2)

14:18

The probability of making a type 2 error | explained with a simple example (part 1/2)

06:40

The probability of making a type 1 error

12:42

The basics of type 1 and 2 errors | explained with a simple example

10:57

The Wilcoxon signed-rank test & the sign test

10:27

The Mann Whitney U test (Wilcoxon Mann Whitney test) part 2/2 | exact p-value

12:09

The Mann Whitney U test (Wilcoxon Mann Whitney test) part 1/2

04:56

The McNemar test

06:00

The Chi-square test of independence VS homogeneity and goodness of fit

12:31

The two proportion z-test and the Chi-square test of homogeneity

10:39

The Chi-square goodness of fit test | and the difference to the one-proportion Z-test

12:30

One-proportion Z-test and the corresponding confidence interval

13:02

The repeated-measures ANOVA | explained with a simple example

05:02

Paired vs unpaired t-test

11:26

The paired t-test | explained with a simple example

13:41

One-way ANOVA: the calculations - step-by-step

14:44

One-way ANOVA: the basics

16:18

The unpaired t-test | Independent samples t-test

08:25

The basic steps of hypothesis testing

02:56

The degrees of freedom - explained with a simple example

11:50

t-test VS confidence intervals