Useful tips for everyday
Why is scaling necessary in machine learning? Feature scaling is essential for machine learning algorithms that calculate distances between data. Therefore, the range of all…
What if interaction is not significant? When there is no Significance interaction it means there is no moderation or that moderator does not play any…
Which is the best cross validation algorithm for Lasso? For cross-validation, we use 20-fold with 2 algorithms to compute the Lasso path: coordinate descent, as…
How do you calculate with uncertainty? If you’re adding or subtracting quantities with uncertainties, you add the absolute uncertainties. If you’re multiplying or dividing, you…
What does it mean when two variables are correlated? When two variables are correlated, it simply means that as one variable changes, so does the…
Which is a special case of conditional independence? Conditional independence is usually formulated in terms of conditional probability, as a special case where the probability…
What is a longitudinal method? Definition. The term longitudinal methods represent a research design in which participants are repeatedly assessed over an extended period with…
How do you calculate sample size for power? The formula for determining sample size to ensure that the test has a specified power is given…
Is Kaplan Meier unbiased? The Kaplan–Meier method gives an unbiased estimate of survival only if censored cases are typical of the whole series. Is Kaplan…
What is the difference between ITT and PP? Intention-to-treat analysis is a comparison of the treatment groups that includes all patients as originally allocated after…