Sentence examples for mean costs using from inspiring English sources

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For each kebele, we calculated summary values of costs and then used an independent sample t test, weighted by cluster size, to compare the mean costs using kebele as a unit of analysis.

The analysis will first estimate the between group differences in mean costs using bootstrapping techniques to obtain bias corrected confidence intervals if the data are skewed.

Paired differences in costs (Pre-Post) were compared statistically (with a null hypothesis of no change in mean costs) using both a paired t-test and, due to the skewness of the cost data, a nonparametric bootstrapping approach.

Although cost data are often skewed, as a result of small numbers of high cost individuals, analyses compared mean costs using standard t-tests to enable inferences to be made about the arithmetic mean, which is a more meaningful statistic for budgetary and planning purposes than the median [ 26].

Similar(56)

The general consensus is that estimating the mean cost using a logarithmic regression model leads to biased estimation [2,4-6].

The authors will focus on the basic operation of estimating mean health care costs, using both simulations and a case study to illustrate these concepts.

35 The mean annual treatment costs using the 1 M, 3 M, and 6 M formulations were €2839 (standard deviation [SD] €233), €1777 (SD €195), and €1567 (SD €205), respectively.

The aim of this study was to review statistical techniques for estimating the mean population cost using health care cost data that, because of the inability to achieve complete follow-up until death, are right censored.

When we estimated costs using PPP, the mean cost per capita of IDSR for Eritrea was $0.87 and $0.06 for Mali (14 times larger).

We calculated standardised mean differences for health outcomes and costs using reported data or appropriate transformation and imputation [ 22].

Since the variability in costs was higher in patient groups with higher mean costs, we used robust estimation of SEs of the regression coefficients.

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