Sentence examples for difference in estimates from inspiring English sources

Exact(60)

We use the data comparing two different doses of an analgesic with placebo for the relief of primary dysmenorrhea to illustrate the use of these interval estimators and the difference in estimates of the PR and odds ratio (OR) when the underlying relief rates are not small.

Gaieski [24] observed a 3.5-fold difference in estimates of absolute incidence using different database abstraction methods.

A measure of the variability of agreement is obtained by calculating the SD of the difference in estimates derived using the two different methods.

Analysis of the agreement (similarity) between Chiang II and Silcocks methods and the comparison of adjusted Chiang II and the Bayesian random effects model was carried out according to the method described by Bland and Altman, which is graphically represented as a scatter plot of the difference in estimates against mean estimates from two different methods.

Others have not found a difference in estimates of risk [ 66] or survival [ 67] based on different categorizations of weight and there is no consistent evidence to suggest that level of obesity interacts with race in its effects on cancer incidence [ 66].

Findings support that the discounting framework is the primary driver of difference in estimates about costs and benefits of higher standards of efficiency in the residential sector.

Two different baseline scenarios up to 2100 indicate that uncertainties in future land-use change lead to a near 100% difference in estimates of carbon sequestration potentials.

The main objective is twofold: (i) to estimate monetary values that can be used for BCA in Sweden, and (ii) to examine the magnitude of the difference in estimates between road and railway noise.

But, if the estimates are different, the smaller of the two is likely to be that of PSSR and the difference in estimates would likely be that of upwelling growth.

City officials and flood-forecasters were criticized for the difference in estimates and actual flood levels.

In this restricted sample of established medical disorders, there was a significant difference in estimates of prevalence (mean for medicalese label = 105 individuals, mean for lay label = 201 individuals out of 1,000, F (1,49) = 12.31, p<0.005), but no significant difference for ratings of seriousness or disease representativeness.

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