Sentence examples for most key variables from inspiring English sources

We found a high PPV for most key variables in the DKRR.

Although, robust data were available for most key variables, a few variables did not have high-quality estimates.

The level of missingness at baseline for most key variables was <1%, with the exception of smoking (12.8% missing data).

Further analysis however showed that women did not differ across most key variables socio-demographic variables (country of birth, p = 0.156; educational attainment, p = 0.271; income, p = 0124), health variables (PCS, p = 0.146; MCS, p = 0.990), or modifiable lifestyle factors (BMI, p = 0,962; cigarette smoking, p = 0.235, alcohol consumption, p 0.605; exercise, p = 0.095).

Although it is acknowledged that the power to detect a difference between the two groups was limited, for most key variables, the differences between the changes in the two groups were considerably smaller in magnitude than the overall change from baseline to postintervention, and the group differences were not consistently in one direction.

Multivariate calibrations were performed with partial least squares regression (PLSR) using the full absorbance spectra (VIS-NIR: 400 2500 nm with 5-nm intervals; MIR: 4000 800 cm− 1 with 4-cm− 1 intervals) and with a combination of PLSR and CARS (competitive adaptive reweighted sampling) to integrate only the most informative key variables.

Even if you accept that the overall aim of dramatically reducing immigration is sound and The Economist doesn't the cap is at best pointless and might well be actively damaging.The trouble with the Tories' pledge, and indeed with Britain's immigration policy in general, is that most of the key variables are beyond its politicians' sway.

The good news is that most of the key variables that affect the success of a daily deal experience can be optimized by small businesses via daily deal structure and execution.

Baseline heterogeneity was large for most of the key variables and therefore it would be difficult to compare individual patients.

Applying global sensitivity analysis (GSA) to this reference model allows the identification of three key variables, responsible for most of the variability on GHG results: installed power capacity, drilling depth, and number of wells.

This report focuses on six key variables that most directly measure the effects of anterior guided growth for knee contraction.