Analytical validation of serum proteomic profiling for diagnsosis of prostate cancer: sources of sample bias
However, most frequently used method of testing for sample bias
is to compare the response and Non-response (about 10%), the testing technology is t-test(about 6%) or Chi-square(about 6%)?
d] [is greater than] 2, then the differences observed in the distribution of isolates for given shared types were statistically significant and not due to potential sample bias
Both the degree of the finite sample bias
of the LR tests as well as the ability of Sims's adjustment in correcting the finite-sample bias
are investigated by the following experiments.
The swapping procedure has a potential for introducing sample bias
as it departs somewhat from purely random sampling, but simulations and evaluations done to date indicate that no bias has resulted.
These biases are approximately additive and result in an overall outlet substitution bias and unrepresentative outlet sample bias
for the Canadian CPI in the range of 0.
In contrast, the finite sample bias
from using either one of the two above dynamic models tended to be small.
Parental informed consent and sample bias
in grade-school children.
The positive bias evident in the sample bias
plot in Figure II is more pronounced above the value 150 on the reference method.
The problem was challenging as the model had to overcome the sample bias
in the development sample and still be robust enough to deliver accurate results over time.
Topics include structural models and empirical analysis of technology accumulation and diffusion, econometric modeling of value-at-risk, small sample bias
corrections for inequality indices, inflation targeting in developing economies, driving factors of Italy's trade flow over the last two decades, labor supply shocks and unemployment persistence in the Netherlands, modeling asymmetric consumer behavior and demand equations for bridging gaps in retailing, and closed-form approximation of likelihood functions for discretely sampled diffusions.
Analytical validation of serum proteomic profiling for diagnosis of PCa: sources of sample bias