Results 151 to 160 of about 7,801,842 (197)
Some of the next articles are maybe not open access.
2009
The molecular epidemiology of infectious diseases uses a variety of techniques to assay the relatedness of disease-causing organisms to identify strains responsible for outbreaks or associated with particular phenotypes of interest (such as antibiotic resistance) and, it is hoped, provide insights into where and how these strains have emerged.
William Paul, Hanage +1 more
openaire +2 more sources
The molecular epidemiology of infectious diseases uses a variety of techniques to assay the relatedness of disease-causing organisms to identify strains responsible for outbreaks or associated with particular phenotypes of interest (such as antibiotic resistance) and, it is hoped, provide insights into where and how these strains have emerged.
William Paul, Hanage +1 more
openaire +2 more sources
On Methods in the Analysis of Profile Data
Psychometrika, 1959This paper is concerned with methods for analyzing quantitative, non-categorical profile data, e.g., a battery of tests given to individuals in one or more groups. It is assumed that the variables have a multinormal distribution with an arbitrary variance-covariance matrix.
Greenhouse, Samuel W., Geisser, Seymour
openaire +2 more sources
Methods for Microarray Data Analysis
2007This chapter outlines a typical workflow for micraorray data analysis. It aims at explaining the background of the methods as this is necessary for deciding upon a specific numerical method to use and for understanding and interpreting the outcomes of the analyses.
De Bruyne, Veronique +2 more
openaire +3 more sources
Analysis of method‐comparison data
Ophthalmic and Physiological Optics, 1994Method‐comparison studies, in which new‘candidate’techniques are compared with an established‘gold standard', feature commonly in optometric research. Investigators often analyse their findings using least squares regression. Pearson's product‐moment correlation coefficient and the paired t‐test.
D E, Shaw, H S, Jones, M J, Moseley
openaire +2 more sources
Methods for Mediation Analysis with Missing Data
Psychometrika, 2013Despite wide applications of both mediation models and missing data techniques, formal discussion of mediation analysis with missing data is still rare. We introduce and compare four approaches to dealing with missing data in mediation analysis including listwise deletion, pairwise deletion, multiple imputation (MI), and a two-stage maximum likelihood (
Zhang, Zhiyong, Wang, Lijuan
openaire +3 more sources
A Data Reconstruction Method for The Big-Data Analysis
2018 9th International Conference on Awareness Science and Technology (iCAST), 2018In recent years, the big-data approach has become important within various business operations and salesjudgment tactics. Contrarily, numerous privacy problems limit the progress of their analysis technologies. To mitigate such problems, this paper proposes several privacy-preserving methods, i.e., anonymization, extreme value record elimination, fully
Masataka Mito +4 more
openaire +1 more source