Exact(41)
At the same time, the model must be simplified, both/either dropping nonsignificant variables and/or by reducing the complexity of FP functions fitted to continuous covariates.
Backwards elimination removed nonsignificant variables.
Nonsignificant variables were removed by backward elimination.
Nonsignificant variables (P > 0.05) were removed by backward elimination.
Nonsignificant variables were sex and Mycobacterium bovis BCG scar.
Nonsignificant variables were removed by stepwise backward elimination.
Similar(19)
The nonsignificant variable was sex.
Then, we assessed each nonsignificant variable a second time by including each one in the model (one at a time).
Whether a child ate soil was the first variable removed because it had the most missing data for a nonsignificant variable and its removal resulted in many more observations being available for model estimation.
In addition, using bivariate associations to select variables for multivariable analysis ignores potential confounding or collinearity between the independent variables, implying that a nonsignificant variable in the bivariate analysis can in fact be a significant variable in the multivariable analysis [ 19, 21].
Decreased strength, as measured by either knee extensors/flexors or hand grip strength has been associated with worse physical function, 9, 11, 12, 53– 55 and in all cases except one, 53 muscle mass has been found to be a nonsignificant variable compared with muscle strength.
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