Sentence examples for without the propensity from inspiring English sources

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The Parole 'Bot: "The personality of a human, without the propensity for error".

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In principle there might be other mechanisms that strengthen association without affecting the propensity to be curved on the microtubule end.

Accordingly, deletion in the C-terminal domain of PACAP reduces drastically the binding affinity without altering the propensity of the analogues to activate the receptor at high concentration (Bourgault et al., 2008b).

Following nucleosome assembly, H3 K56ac) enhances DNA site exposure in the entry/exit region without significantly increasing the propensity for dissociation of the H2A/H2B dimer.

The distributions of potential confounding variables (Supplementary Table 1) did not differ significantly between patients with diabetes with or without hypoglycemia in the propensity score-matched data.

We used Cox regression analysis to assess differences in in-hospital survival rates between patients with and without prophylactic treatment in the propensity score matched groups.

If the steady state of the ODE x st is within the 95% confidence interval of n runs of stochastic simulations, i.e. x s t ∈ μ s t - 1. 96 δ s t n, μ s t + 1. 96 δ s t n, then the rate function in the original ODEs can be used as the propensity without adjustment; otherwise propensity adjustment is needed.

Further, if yP Jz and yP iz, then yPz from C2. But, if xPy and yPz, then xPz by the transitivity of the strict order relation P. The result xPz is arrived at without any assumption about the propensity rankings of lineages other than J regarding x and z, although it is assumed that yP iz and yP ix.

First we include the weights as a predictor of the propensity score, without accounting for the complex survey design.16 Second, we estimate the ATET.

The problem with this technique is that it is difficult to establish a sensible criterion to evaluate the closeness of matched units without knowing estimation errors of the propensity scores.The present study introduces interval matching using bootstrap confidence intervals for accommodating estimation errors of propensity scores.

The problem with this technique is that it is difficult to establish a sensible criterion to evaluate the closeness of matched units without knowing estimation errors of the propensity scores.

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