نتایج جستجو برای: instrumental measurement

تعداد نتایج: 468074  

2011
Gaurav Garg

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Journal: :The international journal of biostatistics 2008
Evridiki Batistatou Roseanne McNamee

Attenuation of the exposure-response relationship due to exposure measurement error is often encountered in epidemiology. Given that error cannot be totally eliminated, bias correction methods of analysis are needed. Many methods require more than one exposure measurement per person to be made, but the `group mean OLS method,' in which subjects are grouped into several a priori defined groups f...

Journal: :Annals of clinical and laboratory science 1999
J Savory M M Herman

Progress in understanding the role of trace metals in biology has been largely dependent on the development of sensitive, accurate and precise analytical methods. Atomic spectroscopic techniques, particularly atomic absorption, have made the greatest contribution. Key to the success of such analytical techniques has been the simplification of sample processing so that contamination is minimized...

2015
Alexander Mikhalychev Andrei Benediktovitch Tatjana Ulyanenkova Alex Ulyanenkov

Modeling of the X-ray diffractometer instrumental function for a given optics configuration is important both for planning experiments and for the analysis of measured data. A fast and universal method for instrumental function simulation, suitable for fully automated computer realization and describing both coplanar and noncoplanar measurement geometries for any combination of X-ray optical el...

2008
Jinyong Hahn Yingyao Hu Geert Ridder

We consider nonlinear models with an independent variable that is measured with error. The measurement error can be correlated with the true value, i.e. the measurement error is allowed to be nonclassical. We show that we can use a control variate estimator to estimate the parameters of interest. If we are prepared to make an assumption of the joint distribution of the first-stage and measureme...

2016
JOHN MARSHALL

ing from the noise, potential outcomes are thus Yit=Yi0+0.05t = 0.4+0.05I(t ≥ 11). Inboth cases, the standard IV assumptions (A1-A5) hold. However, the strong exclusion restriction(A5*) only holds for the single jump CRF.

Journal: :Journal of the Royal Society of Medicine 2001

Journal: :Folia medica 2011
Katerina D Vitlianova Temenuga I Donova Margarita D Apostolova

AIM To study differences and prognostic effect of some factors on brain (B-type) natriuretic peptide (BNP) levels at discharge of patients with chronic heart failure (CHF) treated in accord with current treatment guidelines. PATIENTS AND METHODS Eighty-five consecutive patients hospitalized for CHF were recruited into the study. A standardized study protocol was used for them including collec...

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