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st: Discrete choice analysis


From   Shehzad Ali <[email protected]>
To   [email protected]
Subject   st: Discrete choice analysis
Date   14 Jan 2009 11:40:57 +0000

Hi listers,

I am trying to analyse data from a discrete choice experiment (DCE). Each patient is given 10 scenarios, each with two treatment choices A and B (coded 0 and 1). Each choice has different combinations of the following attributes of the treatment: length frequency duration benefit. Each attribute has 3 levels, for instance length is either 6 weeks, 10 weeks and 16 weeks. Data looks like this:

id scenario choice_made A_length A_ freq A_dur A_ben B_length B_freq...

1 1 0 1 1 1 1 2 3

1 2 1 2 1 3 2 3 3

1 3 1 3 2 2 1 1 1

...

2 1 0 1 1 1 1 2 3

2 1 0 2 1 3 2 3 3

...

Data also has a list of socioeconomic and demographic variables. My preferred model is a random effects model. I am not sure whats the best way to proceed. Is the following approach correct?

xtprobit choice_made A_length A_freq A_duration A_benefit B_length B_freq B_duration B_benefit age sex education occupation, i(id)

I am new to DCE design, so any help would be greatly appreciated.

Many thanks, Shehzad
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