Comparison of least absolute shrinkage and selection operator and maximum likelihood estimators to establish determinants of immunization in Trans-Nzoia County
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Date
2015Author
OTIENO, Sheilla Aoko
WAMALWA, Benson M
ONYANGO, Nelson O
Makoteku, Joseph A
ONGOMA, Victor
Language
enMetadata
Show full item recordAbstract
The
client factors that influence under
-
five child guardian compliance to the
immunization schedule are interlinked based on household characteristics,
socioeconomic status, and maternal health practices. An incentive to motivate
the mothers to prioritize thei
r child’s health practices especially on
vaccination, works perfectly towards the achievement of full immunization
coverage. A randomly sampled study carried out within Weonia Location
–
Trans Nzoia County in March 2014 with target population of under
-
five
c
hildren showed the vital role an incentive innovation plays towards
immunization coverage. Multinomial logistic regression model was used to
analyze the determinant of partial or none
-
immunized and the parameters
estimated using the maximum likelihood esti
mator (MLE) and the shrinkage
estimator
-
Least Absolute Shrinkage and Selection Operator (LASSO). The
shrinkage estimator method gave a sparse model that was easy to
interpret
and increased the estimated predictability accuracy. Maternal health
practices an
d access to a motivating intervention are significant factors
that ensure a guardian’s compliance to their child immunization.
Citation
OTIENO, Sheilla Aoko, Benson Munyali WAMALWA, and Nelson Owuor ONYANGO. "COMPARISON OF LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR AND MAXIMUM LIKELIHOOD ESTIMATORS TO ESTABLISH DETERMINANTS OF IMMUNIZATION IN TRANS-NZOIA COUNTY."Publisher
University of Nairobi