Directly after the speed-strength training with an increasing type-II-fibre proportion, endurance training induced the exact opposite stimulus on fibre type transformation and metabolic adaptations.
An unadjusted analysis led to an increased type I error rate when there was a very small number of patients and randomisation was performed using permuted blocks stratified by randomisation period.
The greatest change in relative amounts of collagen messsenger RNA was demonstrated by an increased type I/XIV ratio, which was due to the up-regulation of type I levels, but not type XIV levels.
Because the Others group was the larger sample, it is likely that the F statistic is an overly conservative estimate for this analysis; thus, there is no concern about an increased type I error.
We hypothesized that an increased, incomplete fatty acid beta-oxidation in mitochondria could be part of the metabolic events leading to insulin resistance and thereby an increased type 2 diabetes risk in low birth weight (LBW) compared with normal birth weight (NBW) individuals.
Patients with normal 25-OH D had a reduced percentage of type 2X muscle fibres and an increased type 1 muscle fibre size.
As an increased type I error is associated with multiple marker analysis, a 10-fold Bonferroni correction has been applied, reducing the significant P-value to 0.005.
Insulin autoantibodies (IAA) persisting after the age of 8 months of age (12), on the other hand, were associated with an increased type 1 diabetes risk.
Abnormal findings included proliferation, desquamation, and degeneration of the bronchial epithelial cells; interstitial fibrosis or fibrosing alveolitis; and an increased type I and type II alveolar epithelial cells as well as hyperplasia of ciliated and goblet cells.
Our simulation study demonstrated that with a very small number of patients, some results may not hold, and there is a risk of an increased type I error rate.
Research has shown that in both cases, choosing a method of analysis based upon the results of an interaction test will lead to biased estimates of treatment effect and an increased type I error rate [ 22, 23].
