A robust bayesian random effects model for nonlinear calibration problems.
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Recent developments in clinical trial designs for HIV vaccine researchQuality control, analysis and secure sharing of Luminex® immunoassay data using the open source LabKey Server platform.Nonlinear Calibration Model Choice between the Four and Five-Parameter Logistic ModelsQuantifying antibody binding on protein microarrays using microarray nonlinear calibration.Optimization and qualification of a multiplex bead array to assess cytokine and chemokine production by vaccine-specific cells.nCal: an R package for non-linear calibrationTransformation Model Choice in Nonlinear Regression Analysis of Fluorescence-based Serial Dilution AssaysLow glucose concentrations within typical industrial operating conditions have minimal effect on the transcriptome of recombinant CHO cells.Informative prior distributions for ELISA analyses.Robust fit of Bayesian mixed effects regression models with application to colony forming unit count in tuberculosis research.
P2860
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P2860
A robust bayesian random effects model for nonlinear calibration problems.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
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2012年论文
@zh-cn
name
A robust bayesian random effects model for nonlinear calibration problems.
@en
type
label
A robust bayesian random effects model for nonlinear calibration problems.
@en
prefLabel
A robust bayesian random effects model for nonlinear calibration problems.
@en
P2093
P2860
P1433
P1476
A robust bayesian random effects model for nonlinear calibration problems.
@en
P2093
P2860
P304
P356
10.1111/J.1541-0420.2012.01762.X
P407
P577
2012-05-02T00:00:00Z