A uniform measurement expression for cross method comparison of nanoparticle aggregate size distributions

The Analyst ◽  
2015 ◽  
Vol 140 (15) ◽  
pp. 5257-5267 ◽  
Author(s):  
Agnieszka Dudkiewicz ◽  
Stephan Wagner ◽  
Angela Lehner ◽  
Qasim Chaudhry ◽  
Stéphane Pietravalle ◽  
...  
Keyword(s):  
Method Comparison ◽  
Aggregate Size ◽  
Measurement Methods ◽  
Size Distributions ◽  
Uniform Measurement ◽  
Nanoparticle Aggregate

Measurement methods produce incomparable results when applied to aggregated nanoparticles.

Assessing bias, precision, and agreement in method comparison studies

2019 ◽  
Vol 29 (3) ◽  
pp. 778-796 ◽  
Author(s):  
Patrick Taffé
Keyword(s):  
Measurement Method ◽  
Method Comparison ◽  
Estimation Procedure ◽  
Measurement Methods ◽  
Repeated Measurements ◽  
Confidence Bands ◽  
The Other ◽  
Reference Standard ◽  
Simultaneous Confidence Bands ◽  
Index Of Agreement

Recently, a new estimation procedure has been developed to assess bias and precision of a new measurement method, relative to a reference standard. However, the author did not develop confidence bands around the bias and standard deviation curves. Therefore, the goal in this paper is to extend this methodology in several important directions. First, by developing simultaneous confidence bands for the various parameters estimated to allow formal comparisons between different measurement methods. Second, by proposing a new index of agreement. Third, by providing a series of new graphs to help the investigator to assess bias, precision, and agreement between the two measurement methods. The methodology requires repeated measurements on each individual for at least one of the two measurement methods. It works very well to estimate the differential and proportional biases, even with as few as two to three measurements by one of the two methods and only one by the other. The repeated measurements need not come from the reference standard but from either measurement methods. This is a great advantage as it may sometimes be more feasible to gather repeated measurements with the new measurement method.

scholarly journals Biasplot: A Package to Effective Plots to Assess Bias and Precision in Method Comparison Studies

2017 ◽  
Vol 17 (1) ◽  
pp. 208-221 ◽  
Author(s):  
Patrick Taffé ◽  
Mingkai Peng ◽  
Vicki Stagg ◽  
Tyler Williamson
Keyword(s):  
Measurement Errors ◽  
Measurement Method ◽  
Quantitative Characteristic ◽  
Method Comparison ◽  
Simulated Data ◽  
Worked Examples ◽  
Measurement Methods ◽  
Reference Standard ◽  
Statistical Methodology ◽  
Limits Of Agreement

Bland and Altman's (1986, Lancet 327: 307–310) limits of agreement have been used in many clinical research settings to assess agreement between two methods of measuring a quantitative characteristic. However, when the variances of the measurement errors of the two methods differ, limits of agreement can be misleading. biasplot implements a new statistical methodology that Taffé (Forthcoming, Statistical Methods in Medical Research) recently developed to circumvent this issue and assess bias and precision of the two measurement methods (one is the reference standard, and the other is the new measurement method to be evaluated). biasplot produces three new plots introduced by Taffé: the “bias plot”, “precision plot”, and “comparison plot”. These help the investigator visually evaluate the performance of the new measurement method. In this article, we introduce the user-written command biasplot and present worked examples using simulated data included with the package. Note that the Taffé method assumes there are several measurements from the reference standard and possibly as few as one measurement from the new method for each individual.

Aggregate size distributions in migration driven growth models

2003 ◽  
Vol 36 (3) ◽  
pp. 423-428 ◽  
Author(s):  
Jianhong Ke ◽  
Zhenquan Lin ◽  
Youyi Zhuang
Keyword(s):  
Growth Models ◽  
Aggregate Size ◽  
Size Distributions

SOIL AGGREGATE SIZE DISTRIBUTIONS USING X-RAY IMAGES

1998 ◽  
Vol 41 (4) ◽  
pp. 1207-1215 ◽  
Author(s):  
E. W. Tollner ◽  
N. D. Melear ◽  
L. A. Rodriguez ◽  
M. E. Wright
Keyword(s):  
Aggregate Size ◽  
Soil Aggregate ◽  
Size Distributions ◽  
X Ray

Aggregate-Mean Diameter and Wind-Erodible Soil Predictions Using Dry Aggregate-Size Distributions

2003 ◽  
Vol 67 (2) ◽  
pp. 425 ◽  
Author(s):  
T. M. Zobeck ◽  
T. W. Popham ◽  
E. L. Skidmore ◽  
J. A. Lamb ◽  
S. D. Merrill ◽  
...  
Keyword(s):  
Aggregate Size ◽  
Size Distributions ◽  
Mean Diameter

scholarly journals Effects of Titanium Dioxide Nanoparticle Aggregate Size on Gene Expression

2010 ◽  
Vol 11 (6) ◽  
pp. 2383-2392 ◽  
Author(s):  
Junko Okuda-Shimazaki ◽  
Saiko Takaku ◽  
Koki Kanehira ◽  
Shuji Sonezaki ◽  
Akiyohshi Taniguchi
Keyword(s):  
Gene Expression ◽  
Titanium Dioxide ◽  
Aggregate Size ◽  
Titanium Dioxide Nanoparticle ◽  
Nanoparticle Aggregate

Particle-Size, Microaggregate-Size, and Aggregate-Size Distributions in Humus Horizons of the Zonal Sequence of Soils in European Russia

2019 ◽  
Vol 52 (3) ◽  
pp. 300-312 ◽  
Author(s):  
O. I. Filippova ◽  
V. A. Kholodov ◽  
N. A. Safronova ◽  
A. V. Yudina ◽  
N. A. Kulikova
Keyword(s):  
Particle Size ◽  
Aggregate Size ◽  
European Russia ◽  
Size Distributions ◽  
Humus Horizons
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