Exact(2)
For most diseases and outcomes, a considerable component of the prognostic variance remains unknown, and may remain so for the foreseeable future.
Risk factors for depression and anxiety disorders in the general population are known; a large naturalistic follow-up study among persons 55 years of age in the community showed that a set of six indicators explained 83% of the total prognostic variance.
Similar(58)
High levels of pain intensity (β =.42**) and pain experience (β =.37*), and poor psychological capacity (β = -.68*) at baseline, as well as poor physiological capacity (β = -.44**) and high levels of anxiety (β =.48**) and depression (β =.58***) at the end of the rehabilitation program were the most important prognostic factors of variance in functioning over the 4 measurement periods.
Our findings that survivin subcellular location may be predominantly nuclear in breast carcinoma and that its presence may be a favourable prognostic indicator are at variance with one previous report of the significance of survivin protein expression in invasive breast carcinoma.
For example, scenarios (i) to (iv) involve within-study variances similar in size to the between-study variances, as observed in prognostic studies [ 10], and in scenario (vi) there is one relatively low and one relatively high between-study variance, as for the CD4 dataset.
These relevant prognostic variables explained 19.8% of the variance.
Moreover, the most popular application of meta-analyses in this field may be to examine diagnostic (sensitivity and specificity) and prognostic (hazard ratio (HR) and its variance, standard error (SE) or confidence interval (CI)) test accuracy.
Our prognostic factors explained a large proportion of variance between physicians and between physiotherapists: 73% and 59%, respectively.
Further, an unequal variance t-test comparing the prognostic scores between patients with pCR and residual disease also revealed a significant difference between mean scores (p = 0.00024 Figure 3C).
Previously reported indirect methods were utilised for extracting the logHR and variance due to the paucity of prognostic literature, which report these values directly (Parmar et al, 1998; Williamson et al, 2002; Tierney et al, 2007).
6, 7 Ideally, CPRs should be based on a small number of variables – in practice, few variables with strong effects usually explain most of the variance and account for most of the prognostic power.
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