Sentence examples for more often estimated from inspiring English sources

Exact(3)

Implausible indicator scores were more often estimated (91%) as compared to calculated (38%) whereas plausible scores (scores < 100%) were more often calculated (62%) as compared to estimated (9%).

That is, when data were unavailable, indicator scores were on average more often estimated as compared to calculated (Est = 91%; Cal = 9%).

Direct measurement of GFR in clinical practice is difficult, and values are more often estimated (eGFR) by the Cockroft-Gault equation or the Modification of Diet in Renal Disease (MDRD) formula.

Similar(57)

Thus, model parameters are often estimated indirectly using more readily available experimental data [e.g. Schoeberl et al. (2002); Zwolak et al. (2005)].

In the health sciences, C&RT is most commonly used as a prediction tool [ 2]; however, for epidemiologic research, we are more often interested in estimating effects than prediction.

Through the influence of the newcomer Tom Glavine, he is trying to pitch to the outside corner more often -- 20percentt, he estimated -- with curveballs, changeups and two-seam fastballs, enough to make the hitters think twice about anticipating Leiter's cutter.

As the economy stalls, you may find yourself at the pharmacy more often and more often at a Walgreens (estimated 2008 sales: $59 billion).

In conclusion, off-label use might be inappropriate, wasteful, and cause adverse effects more often than is currently estimated.

However, during the last six months it had worried him, and he felt that he was 'going more often.' Therefore, he estimated that he had had symptoms for about six months.

Not only do we imagine the authority of a scientist is so great that we would kill another human being at their request, but we succumb to this authority far more often than we would estimate.

Similar to countries with generalized epidemics, ANC surveillance estimates more often overestimated population prevalence in concentrated epidemics, with similarly large variations in the magnitude of bias observed (Fig. 2).

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