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Re: st: Statistical significance of standardized rates
From
Karman Tandon <[email protected]>
To
statalist <[email protected]>
Subject
Re: st: Statistical significance of standardized rates
Date
Thu, 4 Apr 2013 12:03:49 -0400
Hi Nick,
I also noticed that the confidence intervals have zero length. Here is
a summary of the dstdize I ran:
dstdize x pop a b c d, by(quartiles)
- x is mortality, a dichotomous 1/0
- pop is the entire population in my data set
- a, b, c, d are a mix of continuous and dichotomous variables
- quartiles is the quartile group that each member of the population
falls into based on a continuous variable "e" that is not included in
the a,b,c,d being standardized by.
Is this an appropriate use of the command?
Thank you,
Karman
On Thu, Apr 4, 2013 at 11:57 AM, Nick Cox <[email protected]> wrote:
> -dstdize- is a command, not a function.
>
> Before you proceed further, note that the confidence intervals appear
> to be of essentially zero length. That seems implausible, but if it's
> true, any difference you like is significant at conventional levels.
> Getting a P-value is moot. However, I'd be suspicious without being
> sure that the instructions were correct.
>
> Nick
> [email protected]
>
> On 4 April 2013 16:44, Karman Tandon <[email protected]> wrote:
>> Hi,
>>
>> I've used the dstdize function to standardize/adjust across a number
>> of variables. My data looks like this:
>>
>> Summary of Study Populations:
>> quartile N Crude Adj_Rate Confidence Interval
>> --------------------------------------------------------------------------
>> 1 290 0.196552 0.060000 [ 0.060000, 0.060000]
>> 2 233 0.124464 0.030526 [ 0.030526, 0.030526]
>> 3 216 0.087963 0.020000 [ 0.020000, 0.020000]
>> 4 210 0.066667 0.014737 [ 0.014737, 0.014737]
>>
>> How do I determine p-values for the significance of the adjusted rates
>> compared to one another?
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