Linked Questions

14
votes
2answers
2k views

80% of missing data in a single variable

There is one variable in my data have 80% of missing data. The data is missing because of non-existence (i.e. how much bank loan the company owes). I came across an article saying that dummy variable ...
2
votes
1answer
3k views

Best way to handle na values in regression predictor variable

I am running a multinomial logistic regression model in R (using the multinom function from the nnet package) with a set of 12 ...
11
votes
0answers
6k views

“Zero-inflated” predictors in regression?

I know that zero-inflated models (e.g. zero-inflated Poisson or negative binomial models) can be used for dependent variables. I also know that in general there are no assumptions for the independent ...
4
votes
1answer
791 views

Coding of semi-numerical variables

I've asked this question before, in the context of logistic-regression, but I'd like to pose it in a broader context here. There are a lot of variables with interval or ratio-type values for some ...
2
votes
1answer
974 views

Regression with zero-inflated continuous variable, zero-inflated binomial variable and integer response variable

Consider a model where: Y (response variable): continuous and both positive and negative X1 (explanatory variable): continuous data, but with many zero values X2 (explanatory variable): binomially ...
2
votes
1answer
599 views

How to do preprocessing for zero inflated variable in multiple regression?

I am trying to build a multiple regression model, and many of my variables looks like this (histogram for time spent in the system). The reason I had such data is because zero is actually represents ...
5
votes
1answer
769 views

Missing data not at random - Advice needed on method

I have been developing a logistic regression model based on retrospective data from a national trauma database of head injury in the UK. The key outcome is 30 day mortality (denoted as "Survive" ...
3
votes
0answers
659 views

Right-censored independent variable in Cox/logistic regression

I have a right-censored continuous independent variable that I want to include in a Cox regression. The variable is a physiologic test which is capped at a certain time, say 120 seconds, due to safety ...
1
vote
0answers
200 views

Zero-inflated mediator in a structural equation (MIMIC) model: dealing with structural zeros

My task is to estimate the impact of job change and its characteristics (e.g. voluntariness) on well-being. Well-being is measured at two time points, T1 and T2. Some respondents have changed jobs ...
2
votes
0answers
147 views

Zero-inflated highly skewed predictor variables

I've thoroughly searched this website and multiple others and can't seem to find an answer to my question. This is also my first post so I hope I've followed all the rules. I apologise for the length, ...
0
votes
1answer
56 views

Preprocessing - dealing with natural NaN values

I am wondering how to deal with a variable having what I call natural NaN values. For example, a measure of duration between 2 events. If one event did not occure the variable has no value. For that ...