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High-throughput sequencing assays such as RNA-Seq, ChIP-Seq or barcode counting provide quantitative readouts in the form of count data. To infer differential signal in such data correctly and with good statistical power...

In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The main features of this package is the possibility to take into account different types of variables (quantitative or categor...

Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative dependent variables. Its goal is to extrac...

The objective of this paper was to develop a high performance liquid chromatography with diode array detection both for chromatographic fingerprint and simultaneous determination of twelve analytes of Shuang-Huang-Lian (...

List of Boxes List of Tables and Figures Foreword Acknowledgments 1. Defining Content Analysis Is Content Analysis Easy? Is It Something That Anyone Can Do? A Six-Part Definition of Content Analysis 2. Milestones in the ...

AIM: This paper is a description of inductive and deductive content analysis. BACKGROUND: Content analysis is a method that may be used with either qualitative or quantitative data and in an inductive or deductive way. Q...

In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replic...

Given the increased use of qualitative and mixed methods, and the continued use of quantitative methods, Creswell's third edition of Research Design: Qualitative, Quantitative, and Mixed Methods Approaches is most timely...

A new simple, rapid and reproducible high performance thin layer chromatographic method has been developed and validated for the analysis of granisetron hydrochloride (GSH) in bulk drug and from pharmaceutical formulatio...

Watershed models are powerful tools for simulating the effect of watershed processes and management on soil and water resources. However, no comprehensive guidance is available to facilitate model evaluation in terms of ...

Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including sk...

The newly inaugurated Research Resource for Complex Physiologic Signals, which was created under the auspices of the National Center for Research Resources of the National Institutes of Health, is intended to stimulate c...

Part I: AN INTRODUCTION TO INQUIRY. 1. Human Inquiry and Science. 2. Paradigms, Theory, and Social Research. 3. The Ethics and Politics of Social Research. Part II: THE STRUCTURING OF INQUIRY: QUANTITATIVE AND QUALITATIV...

The objectives of this paper are two-fold. Firstly, to analyse the state of the education system in Argentina, combining data from different sources, as each of them have their own strengths and weaknesses. For instance,...

Business Research Methods contains new and revised chapters on quantitative methods and visual research, while cutting-edge material on inclusivity and bias in research, feminist perspectives, and decolonial and indigeno...

Most writing on sociological method has been concerned with how accurate facts can be obtained and how theory can thereby be more rigorously tested. In The Discovery of Grounded Theory, Barney Glaser and Anselm Strauss a...

Most writing on sociological method has been concerned with how accurate facts can be obtained and how theory can thereby be more rigorously tested. In The Discovery of Grounded Barney Glaser and Anselm Strauss address t...