Sentence examples for harm estimates from inspiring English sources

In this study we described a number of parameters which may affect the precision and power of CRR harm estimates in general practice.

By applying our formula, they could ensure the harm estimates of these potential different CRR scenarios will have adequate precision and acceptable power.

From this, we derived a formula which we used to calculate the minimum number of harm incidents that had to be detected during any CRR process to ensure the harm estimates had acceptable precision and adequate power.

The implications of this inability to estimate random effects go beyond bias in harm rate estimates to scenarios where variation between practices is of primary interest rather than simply a parameter to be adjusted for.

Table  2 summarizes the estimation errors of selected CRR scenarios' harm rate estimates.

CRR harm rate estimates can be used in two different ways.

Different combinations of certain parameter values produced CRR scenarios which yielded harm rate estimates with acceptable precision.

Figure  1 provides a graphical display of all CRR scenarios that yielded harm rate estimates with acceptable precision.

We chose Monte Carlo simulation to examine the levels of precision and power of harm rate estimates as measured by different general practice CRR scenarios.

We also identified a problem of substantial positive bias in harm rate estimates where there are high levels of inter-patient variation.

Secondly, harm rate estimates at different points in time can be compared to detect increases or reductions, with observed changes expressed as percentages.