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Re: missings in logistic regression
From: |
Alan Mead |
Subject: |
Re: missings in logistic regression |
Date: |
Fri, 21 Apr 2017 15:03:59 -0500 |
User-agent: |
Mozilla/5.0 (Windows NT 6.1; WOW64; rv:45.0) Gecko/20100101 Thunderbird/45.8.0 |
How are you defining missing values? I notice that the handling of
missing cases depends on their status as system or user-defined. Maybe
you've found a bug.
https://www.gnu.org/software/pspp/manual/html_node/LOGISTIC-REGRESSION.html
-Alan
On 4/21/2017 10:16 AM, ftr public wrote:
> Hi,
>
> I calculated a logistic regression based on poll data that show a
> large percentage of missing data.
>
> The initially summary shows - the missing sub-command set on default -
>
> included in the analysis 8,196
> missing cases 7,253
> Total 15,449
>
> To see whether the large part of missings has any effect on the result
> I excluded missings by counting all missing values in the list of
> dependent and independent variables and then filtered for no missings.
> In addition I set the missing sub-command on exclude.
>
> count ka = list of independent variables (missing values).
> temp.
> sel if ka = 0.
> LOGISTIC REGRESSION dependent WITH independent
> /CATEGORICAL = ...
> /CRITERIA = CUT(0.5) ITERATE(20)
> /NOORIGIN
> /miss exclude.
>
> To my surprise, the number of missings did not drop to 0 .
>
> The summary now shows
>
> included in the analysis 8,196
> missing cases 4,200
> Total 12,396
>
> How can I achieve to get the missings excluded so that included total ?
>
> - ftr
>
>
> _______________________________________________
> Pspp-users mailing list
> address@hidden
> https://lists.gnu.org/mailman/listinfo/pspp-users
--
Alan D. Mead, Ph.D.
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