Sentence examples for estimates in form of from inspiring English sources

Exact(3)

In all empirical or experimental sciences, it is a standard approach to present results, additionally to point estimates, in form of confidence intervals on the parameters of interest.

For example, if the final answer is 1000, after k seconds, the user gets the estimates in form of a confidence interval like [990, 1020] with 95 probability.

Basic data analyses used logistic regression (Breslow and Day 1980) and provided risk estimates in form of ORs, adjusted for age and sex, with 95% confidence intervals (CIs).

Similar(57)

A correlation between the heat losses, due to the wind, and the wind speed was experimentally estimated in form of the Q̇loss,wind= 59.545×Vwind+76.724.

We conducted two sets of regression analyses to derive estimates, in the form of odds ratios and 95% confidence intervals, of whether characteristics of individuals, their activities and their immediate context, and characteristics of the locations where they spent time protected against or posed a risk for young people to be assaulted.

In this paper, we have used Bayesian methods and adjusted for socio-demographic risk factors to produce survival estimates, in the form of relative excess risks of death, by PCT for prostate cancer in the NYCRIS region.

The GEE regression models in the tables provide parameter estimates in the form of beta coefficients, whereas the results reported in the text and figures are in the form of risk ratios.

This resulted in 10 decision trees which were used solely to produce reliability estimates in the form of overall deviation among the ten sets of prediction, while class predictions were performed separately by a single tenfold cross validated model.

Nationally, bycatch estimates in the form of regulatory discards are annually reducing the potential yield of fisheries by $427.0 million in ex-vessel revenues, and as much as $4.2 billion in seafood-related sales, $1.5 billion in income, and 64,000 jobs.

A simulation study showed that LUR modeling with a small number of measurement sites may bias the health-effect estimates in the form of attenuation toward the null (Basagaña et al. 2013).

Demand estimates in the form of total doses required per year are based on the size of the target population in each country, the maximum level of coverage and time taken to reach this level, and the number of doses in a regimen.

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