Human CML(Carboxymethyl Lysine) ELISA Kit

Name: Human CML(Carboxymethyl Lysine) ELISA Kit
SKU: DEIA-XYZ1
Rating: 5 (1 reviews)

Regulatory status: For research use only, not for use in diagnostic procedures.

COA

SDS

Datasheet

Summary

Sample

Serum, plasma, tissue homogenates and other biological fluids.

Species Reactivity

Human

Detection Method

cELISA

Intended Use

For quantitative detection of CML in serum, plasma, tissue homogenates and other biological fluids.

Contents of Kit

Storage

2-8°C for 6 months

Precision

Intra-Assay: CV<8%
Inter-Assay: CV<10%

Standard Curve

Results of a typical standard operation of a CML ELISA Kit are listed below. This standard curve was generated at our lab for demonstration purpose only. Users shall obtain standard curve as per experiment by themselves. (N/A=not applicable)

Citations

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Documents

pdf COA

pdf SDS

pdf Datasheet

QA & Reviews

Customer Reviews

References

Declaration of Bcr-Abl1 independence

LEUKEMIA

Authors: Zhao, Helong; Deininger, Michael W.

Abstract

Empirical and conditional likelihoods for two-phase studies

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE

Authors: Che, Menglu; Lawless, Jerald F.; Han, Peisong

Abstract

Two-phase, response-dependent sampling is often used in regression settings that involve expensive covariate measurements. Conditional maximum likelihood (CML) is an attractive approach in many cases as it avoids modelling of the covariate distribution, unlike full maximum likelihood. Scott & Wild (2011) introduced an augmented CML approach which is semi-parametric efficient in certain settings with a discrete response variable. We consider general regression models and show the Scott-Wild estimator of covariate effects has the same asymptotic efficiency as two empirical likelihood estimators, and that these estimators dominate the CML estimator. We compare the efficiencies of various estimators in simulation studies and illustrate the methodology in a two-phase genetics study.