Posted by
Maguin, Eugene on
Aug 16, 2013; 7:39pm
URL: http://spssx-discussion.165.s1.nabble.com/Find-the-right-analysis-tp5721584p5721628.html
I understand better. Thank you. Ok, here's now how I envision the survey working. Q11_x to Q11_y is the number of persons being treated with each drug.
Q14_a to Q14_b is selection criteria list that is presented once for each respondent and questions are not keyed to whatever was said for Q11.
Q15_c to Q15_d is presented once for each drug whose Q11 number of patients is greater than the threshold. Some docs might see the Q15 set once while others see it 3 or 4 times depending on their prescribing patterns and number of patients seen.
>> I would like first to understand if there is any relationship between the number of patients that are currently receiving drugs (q11_1, q11_2, q11_3, q11_4) and the reasons when choosing drugs (q14a_1, q14a_2, q14a_3, q14a_4, q14a_5, q14a_6, q14a_7, q14a_8, q14a_9, q14a_10, q14a_11, q14a_12, q14a_13).
Keep in mind that others, I'm sure, have much more experience with analyzing this sort of data, and I hope you from them.
I think I might begin with the Q11 data and convert the number of patients to percents and then look at the correlations between the Q14 item set and prescribed percentage share on a drug by drug basis. You could also convert the within doc percents to within doc ranks and use the ranks. There are some issues with using percents because they are ratios. I don't work with them so others know more than me. This could wind up with a multiple regression.
>> Second I would like to understand if there is any relationship between the number of patients that are currently receiving drug 1 (q11_1) and the reasons when choosing drug 1.
From what I remember of your original message, I don't think your data are organized correctly because I think the question here is whether the reason x rating differs across the four drug groups that you illustrated in your original message. This could be a series of univariate anova or a multivariate anova. I'm assuming here that the four groups you illustrated are defined by the highest percentage prescribed drug.
I hope all this is helpful but I don't know that it is because I may not understand the data well enough or overall goals.
Gene Maguin
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From: SPSSX(r) Discussion [mailto:
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Sent: Friday, August 16, 2013 11:50 AM
To:
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Subject: Re: Find the right analysis
Hi Eugene,
I have 100 doctors who completed the survey.
Each doctor is asked:
Q11.Thinking of all your patients with Psoriasis in your care who is currently receiving a biologic, how many are receiving each of the following drugs?
Q14. Below are several criteria that may or may not be important when choosing a biologic for Psoriasis. For each item (attribute) please rate its importance by using a scale of 1-7 where 1=not at all important and 7=extremely important.
Q15. Based on your experience and what you have read or been told about each biologic, please use a scale of 1-7, to indicate what you think of the performance of each of the following drugs on each attribute for the treatment of Psoriasis. (This question is using a rather complicate filter and it will show those drugs with a high number of patients (q11). This filter will take into account those drugs with the same number of patients at q11 and show just one.
Please, let me know if this is making sense now...
Joan
-----
mils
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