Sentence examples for multiple continuous measurements from inspiring English sources

The intraclass correlation coefficient (ICC) assesses the relative extent to which multiple continuous measurements taken by different individuals, or by the same person on different occasions, are related.

Thus, in this paper, we develop a Bayesian method to correct for measurement error in multiple continuous exposures in individually matched case-control studies that may be generalized to different settings, where information regarding the measurement error variability is available from additional experiments.

We propose a Bayesian method to correct for measurement error in multiple continuous exposures for individually matched case-control studies.

As a result, the use of a conditional likelihood approach in the presence of measurement error in multiple continuous exposures has not been widely adopted.

The aim of this paper is to develop a Bayesian method to correct for measurement error in multiple continuous exposures in individually matched case-control studies.

In individually matched case-control studies, the use of conditional logistic regression likelihood as a disease model in the presence of measurement error in multiple continuous exposures can be justified by having a random-effect exposure model.

Nevertheless, to our knowledge, very little attention has been given to measurement error in multiple continuous exposures in matched case-control studies, except for McShane et al. [ 5] whose procedure may be challenging numerically, and which is quite dependent on the settings of the problem.

Hence, instead of multiple measurements to determine the microcirculatory state at a certain time point, continuous measurements of microcirculatory perfusion and density could be made during a clinical maneuver or intervention.

The study investigated multiple clinical, histological, biochemical and demographic variables in the form of both binary and continuous measurements.

Data from 653 patients included in two international randomised controlled trials in advanced pancreatic cancer (Bramhall et al, 2001, 2002) were analysed investigating multiple clinical, histological, biochemical and demographic variables in the form of both binary and continuous measurements.

Raw and converted data from sulfide probe continuous measurements.