Sentence examples for data were underestimated from inspiring English sources

Allowing for extrapolations to 1996 from the 2002 to 2007 period, the survey data were underestimated by 12%.

Provincial or county level studies have showed that the reported MMR and IMR from census or surveillance data were underestimated and that the underreporting rate varied: that of MMR from less than 10% to about 30% while that of IMR from 10%to50%0% [ 20, 21].

They were close to those reported in Norway (15.5% obesity in men and 21.0% in women) [ 22], Spain (56.2% overweight or obesity in men and 40.9% in women) [ 23] and Italy (31.3% overweight in adults and 8.2% obesity) [ 24], although estimations for Spain and Italy based on self-reported data were underestimated.

For both stations the maximum temperature of the ECMWF data is underestimated by about 21% expressed by a high coefficient of correlation of up to 0.72.

The soluble fractions at pH 1 and pH 3 account for less than 10% of the total material but this data is underestimated because part of this fraction has been lost during the dialysis step.

But these data are underestimated because NIV is increasingly initiated outside the ICU setting [ 14, 15].

Currently, there is no process for collecting this information systematically across Canada; consequently, the number of cases obtained from hospitalization data is underestimated.

Third, although the data came from active surveillance and are therefore complete within the context of laboratory-confirmed disease, not all persons with gastrointestinal illness seek medical care or have diagnostic testing (1, 18 ), so these data are underestimates of the true incidence of STEC and salmonellosis.

The mapping showed a poor fit to the data; the high utilities were underestimated, and the low utilities were overestimated (Fig. 4).

Note that the value, when excluding the day 7, data point is underestimated since values of infinity were excluded.

However, if there is a candidate model for which the cross-validated error in this particular training data set is underestimated, then this model may show a smaller cross-validated error than the true model despite the fact that it is suboptimal.