Exact(2)
For many scientific questions, our strategy of dual sequencing applications on pooled samples with modest coverage can yield the most information for the same level of effort.
So far, studies investigating Mindfulness Based Stress Reduction (MBSR) training in medical students are conducted in self-selected, pre-clinical samples, with modest response rates without collecting data on non-participants.
Similar(58)
Using an affinity-purified antibody that recognizes amino acids 216 267 of RBM45 that lacks homology to TDP-43 or FUS, RBM45 protein was evident in all CSF samples, with a modest increase in ALS patients (Fig. 1a).
Other researchers have shown that additional rounds of amplification yield reproducible results for a single RNA sample with only modest biases [ 6, 10].
The weighted least-square with mean and variance correction estimator (WLSMV) was used to evaluate model fit as this estimation method can be both used reliably with ordered categorical level data, and be used dependably with modest samples sizes.
The weighted least-square estimator was used to evaluate model fit as this method of estimation can be used reliably with ordered categorical level data and dependably with modest samples sizes.
We observed both between-groups and within-subjects effects with modest samples, demonstrating a sensitivity of the quantitative neuroanatomical approach; however, we may have lacked sufficient power to fully characterize the structural correlates of idiopathic verbal apraxia and PROMPT therapy.
In contrast, application of efficient statistical protocols has the potential to significantly improve the chances of detecting real signal with modest sample sizes.
The substantial number of participants pooled for analysis offers more statistical power than individual smaller studies with modest sample sizes.
The results from our simulation studies indicate type I error rate is controlled, however, power falls quickly for small sample sizes using variants with modest effect sizes.
Unlike previously described approaches, it can be used with modest sample sizes, allows correction of multiple misclassified variables, takes account of the size of the validation sample, and does not require the validation sample to include controls.
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