Sentence examples for most appropriately characterised from inspiring English sources

Parameter estimates and model fit for the fixed effects, item-based SF36 to AQoL algorithm are reported in Table 2. Respondent-specific fixed effects were again significantly greater than zero (F = 1.85, df = (640,429), p < 0.000) and the Hausman test (χ2 = 55.32, df = 10, p < 0.000) again suggested that the fixed effects model most appropriately characterised respondent-specific effects.

For the 'low severity' algorithm, respondent-specific fixed effects were significantly greater than zero (F = 2.14, df = (566,364), p < 0.000) and the Hausman specification test (χ2 = 33.92, df = 10, p < 0.000) suggested that the fixed effects model most appropriately characterised respondent-specific effects.

For the 'low severity' algorithm, respondent-specific fixed effects were significantly greater than zero (F = 2.05, df = (567,363), p < 0.000) and the Hausman test (χ2 = 46.64, df = 11, p < 0.000) suggested that the fixed effects model most appropriately characterised respondent-specific effects.

Parameter estimates and model fit for the subscale-based SF36 algorithm are reported in Table 2. Respondent-specific fixed effects were again significantly greater than zero (F = 2.01, df = (639,431), p < 0.000) and the Hausman specification test (χ2 = 39.87, df = 8, p < 0.000) again suggested that the fixed effects model most appropriately characterised respondent-specific effects.

The Hausman test suggested that the fixed effects model most appropriately characterised respondent-specific effects in the NIHSS = 0 and NIHSS = 1 5 (χ2 = 49.53, df = 2, p < 0.000) subgroups whereas the additional assumptions required for the random effects model were met in the NIHSS ≥ 6 subgroup (χ2 = 0.83, df = 2, p = 0.660).

For the item-based NIHSS algorithms, the Hausman test suggested that the fixed effects model most appropriately characterised respondent-specific effects for the all stroke (χ2 = 40.24, df = 2, p < 0.000), NIHSS = 0 5 (χ2 = 23.82, df = 2, p < 0.000) and NIHSS ≥ 6 (χ2 = 76.61, df = 9, p = 0.000) algorithms.

Swedish academic R&D is more appropriately characterised as average, or below average, in terms of input and above average in terms of output.

Rather, the errors described above are more appropriately characterised as 'lapses of attention' that are unlikely to bias results.

Rather, the initiation and progression phases of substance use may be more appropriately characterised as partially overlapping (or even, independent; Heath et al. 1991).

However, the reasons given by respondents for selecting a dominated profile suggested that these respondents are more appropriately characterised as careless than irrational.

An Emax function most appropriately characterized the biomarker ANC relationship.