The role of chemometrics in improving clinical data analysis and diagnostics
In recent years, due to the significant development of instrumental techniques, clinical
research has acquired many interesting tools and analytical platforms that can support the …
research has acquired many interesting tools and analytical platforms that can support the …
Identification of ground meat species using near-infrared spectroscopy and class modeling techniques–Aspects of optimization and validation using a one-class …
Chemometric methods permit the construction of classifiers that effectively assist in
monitoring safety, quality and authenticity of meat based on the near-infrared (NIR) spectral …
monitoring safety, quality and authenticity of meat based on the near-infrared (NIR) spectral …
[HTML][HTML] Anomalous values and missing data in clinical and experimental studies
HA Miot - Jornal vascular brasileiro, 2019 - SciELO Brasil
Durante a análise dos dados de uma pesquisa científica, é habitual deparar-se com valores
anômalos ou dados faltantes. Valores anômalos podem ser resultado de erros de registro …
anômalos ou dados faltantes. Valores anômalos podem ser resultado de erros de registro …
Detecting influential observations by cluster analysis and Monte Carlo cross-validation
The detection of influential observations is an essential step for building high performance
models and has been recognized as an important and challenging task in many industrial …
models and has been recognized as an important and challenging task in many industrial …
[HTML][HTML] Valores anômalos e dados faltantes em estudos clínicos e experimentais
HA Miot - Jornal Vascular Brasileiro, 2019 - SciELO Brasil
Durante a análise dos dados de uma pesquisa científica, é habitual deparar-se com valores
anômalos ou dados faltantes. Valores anômalos podem ser resultado de erros de registro …
anômalos ou dados faltantes. Valores anômalos podem ser resultado de erros de registro …
Practical approaches to principal component analysis for simultaneously dealing with missing and censored elements in chemical data
I Stanimirova - Analytica Chimica Acta, 2013 - Elsevier
Multivariate chemical data often contain elements that are missing completely at random
and the so-called left-censored elements whose values are only known to be below a …
and the so-called left-censored elements whose values are only known to be below a …
Use of near infrared spectroscopy and spectral databases to assess the quality of pharmaceutical products and aid characterization of unknown components
This research was initiated as part of the fight against public health problems of rising
counterfeit, substandard and poor quality medicines and herbal products. An effective …
counterfeit, substandard and poor quality medicines and herbal products. An effective …
Multivariate linear regression with missing values
This contribution presents and discusses an efficient algorithm for multivariate linear
regression analysis of data sets with missing values. The algorithm is based on the insight …
regression analysis of data sets with missing values. The algorithm is based on the insight …
Robust methods in analysis of multivariate food chemistry data
In this chapter, foundations of robust statistics are introduced, including classic and robust
estimators as well as their statistical properties (breakdown point, efficiency, influence …
estimators as well as their statistical properties (breakdown point, efficiency, influence …
Exploratory analysis of metabolomic data
I Stanimirova, M Daszykowski - Comprehensive analytical chemistry, 2018 - Elsevier
This chapter focuses on the exploratory analysis of metabolomic data. The goal of data
exploration is to uncover any possible differences in sampling procedures, to examine the …
exploration is to uncover any possible differences in sampling procedures, to examine the …