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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