Timeline for Does it make sense to impute year of birth?
Current License: CC BY-SA 3.0
8 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Aug 26, 2014 at 16:57 | answer | added | c.gutierrez | timeline score: 2 | |
Apr 24, 2014 at 15:16 | vote | accept | r0berts | ||
Apr 24, 2014 at 14:28 | answer | added | Deathkill14 | timeline score: 10 | |
Apr 24, 2014 at 14:15 | comment | added | r0berts | I realize that correlation is not what I should do with categorical data, probably Chi-squared test. However I tested the main outcome variable (binary) and correlation with YOB is -0.061 | |
Apr 24, 2014 at 13:30 | comment | added | r0berts | Thanks for pointers. My all other demographic parameters are factors - gender, income band, education, married status, then there are 100 yes/no questions. Do you think I should convert the other demographics to numerical variables and check for correlation then? | |
Apr 24, 2014 at 13:12 | review | First posts | |||
Apr 24, 2014 at 13:40 | |||||
Apr 24, 2014 at 13:04 | comment | added | Deathkill14 | Two questions. Do you have any idea about highly correlated your other variables are with year of birth? If there is little correlation then it will be hard to impute accurately, but if they are correlated you might have some success. Second question: do you have any idea about whether or not there is a pattern to the missingness? For example, are these likely to be old records, or something otherwise systemic like that? | |
Apr 24, 2014 at 12:56 | history | asked | r0berts | CC BY-SA 3.0 |