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Contains data from 7.1.dta
obs:
5,366
vars:
17
5 Sep 2009 09:38
size:
177,078 (99.9% of memory free)
-------------------------------------------------------------------------------storage display
value
variable name
type
format
label
variable label
-------------------------------------------------------------------------------comm
int
%9.0g
Community ID
womid
int
%9.0g
Woman ID
antemed
byte
%9.0g
Antenatal from qualified medic
bord
byte
%9.0g
Birth order
mage
byte
%9.0g
Mother's age at birth
urban
byte
%9.0g
Type of region of residence
meduc
byte
%9.0g
Maternal education
islam
byte
%9.0g
Religion
wealth
byte
%9.0g
Wealth index (1 = poorest)
magec
float %9.0g
magecsq
float %9.0g
meduc2
byte
%8.0g
meduc3
byte
%8.0g
wealth2
byte
%8.0g
wealth3
byte
%8.0g
wealth4
byte
%8.0g
wealth5
byte
%8.0g
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Mixed-effects logistic regression
Group variable: comm
Number of obs
Number of groups
Integration points =
7
Log likelihood = -3313.2817
=
=
.
.
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log likelihood = -3313.2818
log likelihood = -3313.2817
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-----------------------------------------------------------------------------Random-effects Parameters |
Estimate
Std. Err.
[95% Conf. Interval]
-----------------------------+-----------------------------------------------comm: Identity
|
var(_cons) |
1.502371
.1591921
1.220628
1.849145
-----------------------------------------------------------------------------LR test vs. logistic regression: chibar2(01) =
808.64 Prob>=chibar2 = 0.0000
log likelihood = -3321.6208
log likelihood = -3313.2849
log likelihood = -3313.2818
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Obs per group: min =
avg =
max =
-----------------------------------------------------------------------------antemed |
Coef.
Std. Err.
z
P>|z|
[95% Conf. Interval]
-------------+---------------------------------------------------------------_cons |
.1486212
.0727516
2.04
0.041
.0060307
.2912118
------------------------------------------------------------------------------
Performing gradient-based optimization:
Iteration 0:
Iteration 1:
5366
361
Wald chi2(0)
Prob > chi2
Refining starting values:
Iteration 0:
Iteration 1:
Iteration 2:
=
=
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Table 7.1. Estimates for different numbers of integration points reported with the percentage
difference between each estimate and that based on 15 integration points
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This document is only the first few pages of
the full version.
To see the complete document please go to
learning materials and register:
http://www.cmm.bris.ac.uk/lemma
The course is completely free. We ask for a
few details about yourself for our research
purposes only. We will not give any details to
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