Hi all,
I have two samples, cancer group and non-cancer group. I aim to compare whether people have different preferences for treatment between cancer and non-cancer groups using discrete choice experiment. Before performing analysis, I need to make sure social economic status (SES) between the two groups are similar (not statistically significant). However, I found income and education are significantly different. I want to ask how to make SES of two groups similar before doing analysis?
I am thinking of using weight, such as propensity score matching. However, as I perform analysis on each group rather than pooling two samples together, generating weighting seems useless? Any suggestions?
Many thanks,
Ni
I have two samples, cancer group and non-cancer group. I aim to compare whether people have different preferences for treatment between cancer and non-cancer groups using discrete choice experiment. Before performing analysis, I need to make sure social economic status (SES) between the two groups are similar (not statistically significant). However, I found income and education are significantly different. I want to ask how to make SES of two groups similar before doing analysis?
I am thinking of using weight, such as propensity score matching. However, as I perform analysis on each group rather than pooling two samples together, generating weighting seems useless? Any suggestions?
Many thanks,
Ni
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