Sentence examples for use of multiple outcomes from inspiring English sources

The solution involves the use of multiple outcomes.

Since there are concerns about safety, multiple interim comparisons over time between treatment groups are called for which, in conjunction with the use of multiple outcomes, require an extension of statistical methodology to meet this requirement.

Other methodological problems include use of multiple outcome measures not adjusted for multiple comparisons (e.g., Colom et al. 2010), as well as use of cut-off points selected retrospectively with risk of false-positive findings (e.g., Swann et al. 1999).

Distinct advantages of this study are the long period of observation and the use of multiple outcome measures with multiple informants.

The use of multiple outcome measures in those trials reviewed reflects the lack of consensus on which method of assessing motor function is the most useful.

Whilst several outcome measures are needed to capture the impact of a disorder like CTS on the individual, the use of multiple outcome measures which address the same domain such as motor function should be avoided as it places an unnecessary burden on the patient and clinician.

The use of multiple outcome measures presents decision makers (such as NICE) with the problem of how to use such measures to make comparisons across sectors or how to combine them to provide an overall measure of benefit whilst avoiding double counting.

To avoid the biasing effect of multiple outcomes within the same study, all meta-analyses on the main outcome of interest (i.e. the prevalence of data fabrication, falsification and alteration) were conducted using only one outcome per study.

In cases of multiple outcome variables, the use of the logit and probit models is extended to a multinomial logit or probit analysis (Damodar 2004).

This study has a number of advantages over previous studies: its ability to control for multiple confounding variables; its use of multiple health-care outcomes; and the use of cross-country data.

BACKGROUND: Recovery from low back pain (LBP) is multidimensional and requires the use of multiple-response (outcome) measures to fully reflect these many dimensions.