Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
where 1 n is a vector of n ones; X is a n×p design matrix which may contain predictors (covariates) as well as indicator (dummy) variables; β0 is an intercept parameter; β is a p×1 vector of regression parameters; and e is a n×1 vector of random errors.
Similar(57)
The fitted GLM may contain some predictors which are redundant in nature and are required to be eliminated from the model based on the observed data.
Due to the possibility that a prediction rule derived from a cohort study may contain some predictors that are treatment effect modifiers and some that are prognostic factors, it would be ideal for there to be a mechanism to tease these apart.
For example, the number of process parameters (predictors) may be large with respect to the number of samples, the predictors may contain either numerical or categorical values, the datasets may contain missing values and, finally, the relationship among the predictors and product yield may be non-linear.
This is a disadvantage in prediction using genetic data, where several correlated predictors, for example in one LD block, may contain information that is useful for prediction even if if they are not all causal variables.
Butter may contain added colouring.
They may contain very strong language.
A single verb may contain many prefixes.
Metamorphic rocks also may contain separate assemblages.
Sputum discharge may contain flecks of blood.
Warning: may contain burning cows!
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com