Within the intervention group, both primary care and diagnostic intervals were statistically significantly shorter if the GP (or a GP in the clinic) participated in the CME (primary care interval median: 9 days vs. 37 days, p = 0.048; diagnostic interval median: 23 vs. 66, p = 0.008).
The results revealed, in this relatively homogeneous, drug naïve FES patient sample, that QTc intervals were statistically significantly prolongated after a relatively short term (2 4 weeks) of antipsychotic treatments, compared with baseline.
Secondary care intervals were statistically significantly more often incomplete in other hospitals than Vejle Hospital, in patients without alarm symptoms and in cases when the GPs did not indicate cancer suspicion in the referral papers (Table 1).
Our goal is to find all genomic intervals, such that the occurrence of at least one genotype encoded as 1 (for instance, a minor allele or recessive genotype) within in each of these intervals is statistically significantly associated with the occurrence of a phenotype of interest.
More importantly, The analysis of variance also showed that the interaction between viewing condition and stop-signal interval was statistically significant, F 5,35) = 4.81, p <.01, ηp2 =.41.
The secondary care interval was statistically significantly shorter at other hospitals after the national introduction of urgent referral for suspected cancer than before the introduction.
Stratified by diagnosis, the decreasing trend in the median secondary care interval was statistically significant for breast cancer (p < 0.001), colorectal cancer (p < 0.001) and lung cancer (p = 0.009) at other hospitals, but only for breast cancer at Vejle Hospital (p < 0.001).
The difference in the firing rate averaged across the simple-spike analysis interval was statistically-significant (paired t-test, p=0.002, n = 90).
The use of the SSD approach, if applicable, presents several important advantages: It is probabilistic; the confidence interval is statistically derived, and is therefore less biased than a deterministic approach, which may be influenced by a heterogeneous distribution of data; it reduces the effect of outliers; and it provides an insight of the effects on the whole community.
The median primary care interval and the diagnostic interval were statistically significantly shorter if the GP suspected cancer or a serious disease (Table 3).
