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A multivariate model failed to converge due to our limited sample size.
Our multivariate model failed to show more treatment modifications in women of the original HAART regimen the first year after initiation compared to men.
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First, owing to the basic of conditional dependence, the Pair-Copula model can reflect the essential relationships between random variables, which the other multivariate models fail to reveal, e.g., the one-order Markov characteristic of the temporal model.
Specifically, when the data were examined in a multivariate analysis, the model failed to converge due to the small number of observations within each matched strata groups when analyzed in combination with the other potential risk factors.
Several strongly correlated variables in the univariate model failed to enter the multivariate model.
The multivariate stepwise Cox's proportional regression hazard model failed to identify independent prognostic factors for OS.
Indeed, our model failed.
So the Wax Tablet model fails.
The entire model fails if both modules fail.
Their models failed.
In the current study, the visually determined Ki-67 failed to reach significance in the multivariate model, possibly due to previously discussed variability in human observer assessment.
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