Sentence examples for unbiased inference from inspiring English sources

We developed statistical methods for an unbiased inference for the targeted therapy in patients who truly have the molecular targets.

The IVs technique is a statistical tool that could be applied to experimental data that fail to fulfill all assumptions necessary for unbiased inference,1 data from natural experiments, and under several conditions, to observational data.

Bayesian inference (BI) of phylogenetic relationships uses the same probabilistic models of evolution as its precursor maximum likelihood (ML), so BI has generally been assumed to share ML's desirable statistical properties, such as largely unbiased inference of topology given an accurate model and increasingly reliable inferences as the amount of data increases.

Appropriate models of industry and publicly funded prognosis research should be developed which allow unbiased inference.

We explored both approaches, but found neither led to unbiased or even nearly unbiased inference (data not shown).

These results suggest that including the study-specific biological variables provides unbiased inference, while the inference derived from unsupervised methods is biased by the asymmetric biological signal.

The Dictionary of Epidemiology (J.M. Last et al., 4th ed., 2001) defines generalizability as "unbiased inferences regarding a target population (beyond the subjects in the study)." A goal of public health research is to apply study findings to an external population, and the ability to effectively evaluate generalizability is crucial to the real-world application of results.

As promising vaccine candidates arise, the lack of standardized assays among diagnostic and research laboratories make unbiased inferences about vaccine-induced protection difficult.

However, RCTs on PR often fail to adequately discuss their external validity, ie, the ability to "produce unbiased inferences regarding the target population".

Nevertheless, as promising vaccine candidates arise, the lack of standardized assays among diagnostic and research laboratories will make unbiased inferences about vaccine-induced protection difficult.

Hence, in order to obtain unbiased population inference and correct estimates of their sampling variance it is necessary to take into account survey weights, stratification, multi-stage-sampling, and finite population corrections (PSU-stage).