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Untitled - Memorial University's Digital Archives Initiative - Memorial ...

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Further mUltivariate logistic regression analyses<br />

also performed to identify risk f a c t or s for the specific<br />

morbidities . These were do ne because many of the variables<br />

recorded in the stUdy are known to be associated with each<br />

other a nd comd therfore confound risk factor identification<br />

during univariate analysis . The PROBIT/LOGIT mOdel of SPSS - X<br />

was used in performing this logistic regression analyses<br />

(2 47 , 248 ] .<br />

ThE: PROBIT!LOGIT procedur-e estimates t he effects of one<br />

or more i nde pe nde nt variables (c ont i nuous and ca t egor i c a l ) on<br />

a di.chotomous dependent va riable [ 247,248 J. The procedure<br />

ca lculates t he maximum l i keli h ood estimates for the paranet.ec-e<br />

of the requested r e s p on s e mode l. For any g iven Ladependent;<br />

factor, a high r egression coefficient relative t o its standard<br />

error i nd i c a t e s it t o be an important predictor of t he<br />

dependent variable (247,248].<br />

comparative analysis of clinic non-att end ers and attenders :<br />

Pe rsons who did not come to the morbidity clinic as<br />

requested were compared with t hos e ....ho came as s cheduled, by<br />

their socia-demographic, antenatal and labour expez-Lences (th

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