Useful tips for everyday
What is PCA embedding? PCA is a linear dimension reduction method. The data in high dimensional space are mapped linearly into low dimensional space while…
Can you compare beta coefficients? The standardized regression (beta) coefficients of different regression can be compared, because the beta coefficients are expressed in units of…
What is the relationship between the empirical rule and a 95% confidence interval? In Lesson 2 you first learned about the Empirical Rule which states…
What does it mean to Residualize a variable? Partial regression coefficients are the most important parameters of the multiple regression model. They measure the expected…
How do you show that a distribution is bivariate normal? Two random variables X and Y are said to be bivariate normal, or jointly normal,…
How do you identify causal variants? Identifying SNPs Using NGS Whole-genome and whole-exome sequencing are common approaches for finding causal variants in rare or complex…
How many samples are required to apply the central limit theorem to estimate the sample mean? It depends on the shape of the variable’s distribution…
What if dependent variable is not normally distributed? In short, when a dependent variable is not distributed normally, linear regression remains a statistically sound technique…
What does loss function mean? The loss function is the function that computes the distance between the current output of the algorithm and the expected…
What is moderator analysis in meta-analysis? Moderator analysis: In the context of a meta-analysis, this refers to using some kind of method in an attempt…