Sentence examples for recurrent bias from inspiring English sources

Our study design allowed overcoming the recurrent bias of the different viral burden present in previous studies which have compared HIV-1 with other persistent human viral infections (e.g. CMV, EBV vs. HIV) or cohorts of HIV-1 progressors vs. non-progressors for immune correlates of viral control.

In particular, our approach attempted to discover recurrent biases that may be introduced by the amplification steps implicit in AS.

Maximum likelihood estimation was employed to train the initial RNN composed of 3 layers with 1024 Gated Recurrent Units (forget bias 5) in each layer.

In this sample with little non-response bias, recurrent and mixed-mode reminding and mixed-mode options for response were key features of optimizing survey design.

There were also recurrent sources of bias on three of the four items of the QUADAS 2 tool, which shows poor reporting of participants' characteristics and study design for the included studies.

Finally, we filtered out sites whose allele fractions showed large deviations from germline expectations in two or more individuals because the likelihood of hotspot pSNMs in healthy individuals was presumed to be orders of magnitude smaller than the likelihood of recurrent systematic sequencing bias.

These observations illustrate the possibility of improving survival and achieving a response in patients with end-stage recurrent glioblastoma by biasing the tumor toward anti-tumor immunologic response with a combination of NovoTTF-100A and TCCC, as well as the continuation of bevacizumab in order to limit dexamethasone use due to its global immunosuppressive effect on the patient.

The evaluation of the risk of bias shows recurrent sources of bias on three of the four items of the QUADAS 2 tool (figure 2).

The frailty model is suitable for studying these recurrent events and prevents biased inferences [ 11].

The clinic-based studies are not necessarily representative of all adolescents with recurrent headache due to selection bias and there are challenges when comparing population-based longitudinal studies because of inconsistencies in their methodological approaches [13, 5].

Different recurrent connection strategies, diagonal recurrent and full connected recurrent ones, were considered.