Useful tips for everyday
Can logistic regression have categorical variables? Similar to linear regression models, logistic regression models can accommodate continuous and/or categorical explanatory variables as well as interaction…
How do you assess relative risk? Relative Risk is calculated by dividing the probability of an event occurring for group 1 (A) divided by the…
What is heteroskedasticity in logistic regression? Heteroscedasticity means unequal scatter. In regression analysis, we talk about heteroscedasticity in the context of the residuals or error…
What is the difference between sample and distribution? The sampling distribution considers the distribution of sample statistics (e.g. mean), whereas the sample distribution is basically…
What is an acceptable Brier score? Remember: A Brier score of 0 means perfect accuracy, and a Brier score of 1 means perfect inaccuracy. To…
How to evaluate goodness of fit for negative binomial? Whichever model provides a lower value for the above expression is the preferred model. Now, there…
What does it mean to reject the p-value? If the p-value is less than 0.05, we reject the null hypothesis that there’s no difference between…
What is hypothesis testing in probability? Hypothesis testing is an act in statistics whereby an analyst tests an assumption regarding a population parameter. Hypothesis testing…
What is accuracy decision tree? If there is no limit set on a decision tree, it will give you 100% accuracy on the training data…
How does propensity score match in R? Estimate the propensity score (the probability of being Treated given a set of pre-treatment covariates). Examine the region…