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Patients completed both the standardised and individualised dyspnoea questions.
36 37 Our findings show considerable support from them for both the standardised review process and the wider governance role of M&M meetings.
Both the standardised mortality ratio (SMR) of suicide relative to the general population and the suicide rates were analysed with Poisson regression methods.
The purpose of this study is to assess the usefulness and acceptability of both the standardised training and the regular training for participants and O&M-trainers in a randomised controlled trial (NCT00946062).
The overall self-reported benefit with respect to the O&M-training according to participants was rather high in both the standardised training group (89%; n = 25) and regular training group (84%; n = 31).
In order to eliminate the possible sources of prediction bias, both the standardised and pure residuals were inspected using scatterplots that were obtained for the candidate models as functions of the independent variables and with and without the estimated random coefficients.
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We analysed the total time and the time spent in the colony without the partner (both standardised) during the consecutive days of the pre-laying period using factorial ANOVA in the mode of linear mixed models, with sex and date as fixed factors.
Both figures the standardised mortality ratios and the rates show that the risk of mortality after discharge is substantial and that the gap in risk, whether calculated in relative or absolute terms, remains substantial.
The dependent variables (both standardised as z scores) are regressed on to the WP sociodemographic categories and sex, which serve as the predictor variables.
The root-mean-squared (RMS) error between the predicted and true reflectance was then calculated, after both had been standardised to the range 0 1.
Both have been standardised for the Dutch population from 4 to 18 years old, and rate 120 problem behaviour items on a three-point scale (0 = not true, 1 = somewhat true or sometimes true, 2 = very true or often true) [ 28, 29].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com