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Posted 04-10-2011 05:03 AM
(1080 views)
Hi,
Sorry if this is an old question but I cannot find a answer in the forum / support materials.
I'm new to SAS and am trying to create a table to compare baseline characteristics between two groups (intervention / no intervention).
Some of the baseline data is binary (eg diabetes / not) and some is numerical (eg age).
Using either proc report / tabulate I can show that between group 1 and 2 the average age / percent of diabetics looks roughly the same, but I am at a loss to show that they are 'statistically comparable' by incorporating p-values for each characteristic between groups.
Is it possible to incorporate this calculation or do I need to independently perform the calculation and subsequently incorporate this data to my table?
Many thanks for any help,
Jim
Sorry if this is an old question but I cannot find a answer in the forum / support materials.
I'm new to SAS and am trying to create a table to compare baseline characteristics between two groups (intervention / no intervention).
Some of the baseline data is binary (eg diabetes / not) and some is numerical (eg age).
Using either proc report / tabulate I can show that between group 1 and 2 the average age / percent of diabetics looks roughly the same, but I am at a loss to show that they are 'statistically comparable' by incorporating p-values for each characteristic between groups.
Is it possible to incorporate this calculation or do I need to independently perform the calculation and subsequently incorporate this data to my table?
Many thanks for any help,
Jim
2 REPLIES 2
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Yes.You need to independently perform the calculation and subsequently incorporate this data to your table.
If they were matched obs then firstly calculate their difference x=a-b ,secondly to test whether x equal zero.
If they were independently then use proc ttest or proc nparm1way to calculate the p-value.
Ksharp
If they were matched obs then firstly calculate their difference x=a-b ,secondly to test whether x equal zero.
If they were independently then use proc ttest or proc nparm1way to calculate the p-value.
Ksharp
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Many thanks,
Jim
Jim