Stata 15 help for clogit_postestimation

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[R] clogit postestimation -- Postestimation tools for clogit

Postestimation commands

The following standard postestimation commands are available after
clogit:

Command            Description
-------------------------------------------------------------------------
contrast         contrasts and ANOVA-style joint tests of estimates
estat ic         Akaike's and Schwarz's Bayesian information criteria
(AIC and BIC)
estat summarize  summary statistics for the estimation sample
estat vce        variance-covariance matrix of the estimators (VCE)
estat (svy)      postestimation statistics for survey data
* hausman          Hausman's specification test
lincom           point estimates, standard errors, testing, and
inference for linear combinations of coefficients
* lrtest           likelihood-ratio test
margins          marginal means, predictive margins, marginal effects,
and average marginal effects
marginsplot      graph the results from margins (profile plots,
interaction plots, etc.)
nlcom            point estimates, standard errors, testing, and
inference for nonlinear combinations of coefficients
predict          predictions, residuals, influence statistics, and
other diagnostic measures
predictnl        point estimates, standard errors, testing, and
inference for generalized predictions
pwcompare        pairwise comparisons of estimates
suest            seemingly unrelated estimation
test             Wald tests of simple and composite linear hypotheses
testnl           Wald tests of nonlinear hypotheses
-------------------------------------------------------------------------
* hausman and lrtest are not appropriate with svy estimation results.

Syntax for predict

predict [type] newvar [if] [in] [, statistic nooffset]

statistic          Description
-------------------------------------------------------------------------
Main
pc1              probability of a positive outcome; the default
pu0              probability of a positive outcome, assuming fixed
effect is zero
xb               linear prediction
stdp             standard error of the linear prediction
* dbeta            Delta-b influence statistic
* dx2              Delta chi-squared lack-of-fit statistic
* gdbeta           Delta-b influence statistic for each group
* gdx2             Delta chi-squared lack-of-fit statistic for each group
* hat              Hosmer and Lemeshow leverage
* residuals        Pearson residuals
* rstandard        standardized Pearson residuals
score            first derivative of the log likelihood with respect to
xb
-------------------------------------------------------------------------
Unstarred statistics are available both in and out of sample; type
predict ... if e(sample) ... if wanted only for the estimation sample.
Starred statistics are calculated only for the estimation sample, even
when if e(sample) is not specified.

Starred statistics are available for multiple controls per case-matching
design only. They are not available if vce(robust), vce(cluster
clustvar), or pweights were specified with clogit.

dbeta, dx2, gdbeta, gdx2, hat, and rstandard are not available if
constraints() was specified with clogit.

Statistics > Postestimation

Description for predict

predict creates a new variable containing predictions such as
probabilities, linear predictions, standard errors, influence statistics,
lack-of-fit statistics, Hosmer and Lemeshow leverages, Pearson residuals,
and equation-level scores.

Options for predict

+------+
----+ Main +-------------------------------------------------------------

pc1, the default, calculates the probability of a positive outcome
conditional on one positive outcome within group.

pu0 calculates the probability of a positive outcome, assuming that the
fixed effect is zero.

xb calculates the linear prediction.

stdp calculates the standard error of the linear prediction.

dbeta calculates the Delta-b influence statistic, a standardized measure
of the difference in the coefficient vector that is due to deletion
of the observation.

dx2 calculates the Delta chi-squared influence statistic, reflecting the
decrease in the Pearson chi-squared that is due to deletion of the
observation.

gdbeta calculates the approximation to the Pregibon stratum-specific
Delta-b influence statistic, a standardized measure of the difference
in the coefficient vector that is due to deletion of the entire
stratum.

gdx2 calculates the approximation to the Pregibon stratum-specific Delta
chi-squared influence statistic, reflecting the decrease in the
Pearson chi-squared that is due to deletion of the entire stratum.

hat calculates the Hosmer and Lemeshow leverage or the diagonal element
of the hat matrix.

residuals calculates the Pearson residuals.

rstandard calculates the standardized Pearson residuals.

score calculates the equation-level score, the derivative of the log
likelihood with respect to the linear prediction.

nooffset is relevant only if you specified offset(varname) for clogit. It
modifies the calculations made by predict so that they ignore the
offset variable; the linear prediction is treated as xb rather than
as xb + offset.  This option cannot be specified with dbeta, dx2,
gdbeta, gdx2, hat, and rstandard.

Syntax for margins

margins [marginlist] [, options]

margins [marginlist] , predict(statistic ...) [predict(statistic ...)
...] [options]

statistic          Description
-------------------------------------------------------------------------
pu0                probability of a positive outcome, assuming fixed
effect is zero; the default
xb                 linear prediction
pc1                not allowed with margins
stdp               not allowed with margins
dbeta              not allowed with margins
dx2                not allowed with margins
gdbeta             not allowed with margins
gdx2               not allowed with margins
hat                not allowed with margins
residuals          not allowed with margins
rstandard          not allowed with margins
score              not allowed with margins
-------------------------------------------------------------------------

Statistics not allowed with margins are functions of stochastic
quantities other than e(b).

For the full syntax, see [R] margins.

Statistics > Postestimation

Description for margins

margins estimates margins of response for probabilities and linear
predictions.

Examples

Setup
. webuse lowbirth2

Fit conditional logistic regression
. clogit low lwt smoke ptd ht ui i.race, group(pairid)

Test that the coefficient on 2.race equals the coefficient on 3.race
. test 2.race = 3.race

Predict the probability of a positive outcome conditional on one positive
outcome within group
. predict pc

Predict Hosmer and Lemeshow leverage
. predict hat, hat

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