Sentence examples for measures data and from inspiring English sources

Main Outcome Measures: Type and frequency of use of program evaluation, formal and informal patient outcome measures data, and how collected data was used.

This article presents a basic latent growth modeling approach for analyzing repeated measures data and delineates several of its extensions, including analyses for multiple populations, accelerated designs, multivariate associative models, and a framework for sample size selection and power estimation.

Approaches which use all repeated measures data and are valid for MAR data include multiple imputation, mixed models, inverse probability weighted GEEs, and Bayesian analysis [ 5– 7].

We proposed a probit-log skew normal mixture model for zero-inflated repeated measures data, and demonstrated its potential by analyzing real data from DAVIS.

This study aimed to describe techniques based on summary measures for the analysis of linear trend repeated measures data and then to compare performances of SMA, linear mixed model (LMM), and unstructured multivariate approach (UMA).

Other aims, including acquisition of secondary outcome measure data and mindfulness measurement assessment tools, have also been achieved.

The data stack is made up of instantaneously measured data and recorded data during simulations.

It illustrates how the world is now defined by the way we measure data and then act upon it.

The measured data and calculated data for θ 1/θ 2 are shown in Fig. 5.

Next, used the measured data and the data in the literature to validate the model.

The measured data and the predicted response are shown in open and solid circles, respectively.