24 papers · ranked by Valyu relevance
Paul Slater
In quantitative research, key decisions are made focusses on a number of areas in the research design process. These include the following: 1. Theory and Hypothesis generation-this may emerge from a review of the literature, practice or informed by the application of a theoretical framework to a situation. a conceptual…
Stephen L. France
Review and Empirical Reanalysis Authors: ['Stephen L. France'] This article gives an integrative review of research using projective methods in the consumer research domain. We give a general historical overview of the use of projective methods, both in psychology and in consumer research applications, and discuss the…
Guido Thömmes, Martin Oliver Sailer, Nicolas Bonnet, Alex Carlton + 2 more
'Juan J. Abellán' 'Véronique Robert'] The pharmaceutical industry has experienced increasing costs and sustained high attrition rates in drug development over the last years. One proposal that addresses this challenge from a statistical perspective is the use of quantitative decision-making (QDM) methods to support a…
Louis J. Gross, Rachel Patton McCord, Sondra LoRe, Vitaly V. Ganusov + 5 more
Substantial guidance is available on undergraduate quantitative training for biologists, including reports focused on biomedical science, but far less attention has been paid to the graduate curriculum. In this setting, we propose an innovative approach to quantitative education that goes beyond recommendations of a…
Jiuyao Lu, Glen A. Satten, Katie A. Meyer, Lenore J. Launer + 2 more
Microbiome data exhibit technical and biomedical heterogeneity due to varied processing and experimental designs, which may lead to spurious results if uncorrected. Here, we introduce the Quantile Thresholding (QuanT) method, a comprehensive non-parametric hidden variable inference method that accommodates the complex…
Mingze Bai, Jingwen Deng, Chengxin Dai, Julianus Pfeuffer + 1 more
Testing for significant differences in quantities on protein level is a common goal of many LFQ-based mass spectrometry proteomics experiments. Starting from a table of protein and/or peptide quantities from a fixed proteomics quantification software, there exists a multitude of tools and R packages to perform the…
Andrew Bennett, Bear Braumoeller
This paper analyzes the working or default assumptions researchers in the formal, statistical, and case study traditions typically hold regarding the sources of unexplained variance, the meaning of outliers, parameter values, human motivation, functional forms, time, and external validity. We argue that these working…
Daria K. Lorio-Barsten, Selena J. Layden
Quantitative methods remain the hallmark of research in applied behavior analysis. Yet, such methods frequently fail to capture the nuances of context where behavior analysis is practiced. Therefore, qualitative methods can provide complementary means to gain deeper insight into changes in socially significant…
Fabjola Bilo, Paola Cirelli, Laura Borgese
This review explores X-ray fluorescence (XRF) for elemental analysis of particulate matter (PM) for air quality monitoring. The introduction presents PM classification based on size and composition, covering various elemental analysis methods while highlighting the increasing interest in XRF due to its non-destructive…
Rodolfo Blanco-Rodriguez, Tanya A. Miura, Esteban Hernandez-Vargas
The integration of computational models with experimental data is a cornerstone for gaining insight into biomedical applications. However, parameter fitting procedures often require an immense availability and frequency of data that are challenging to obtain from a single source. Here, we present a novel methodology…
Phillip J. Schulte, Judith D. Goldberg, Robert A. Oster, Walter T. Ambrosius + 12 more
Research articles in the clinical and translational science literature commonly use quantitative data to inform evaluation of interventions, learn about the etiology of disease, or develop methods for diagnostic testing or risk prediction of future events. The peer review process must evaluate the methodology used…
Wenqisi Pan, Zeyu Lu, Wei Jiang, Johan Lim + 2 more
In meta-analyses of continuous outcomes, the sample mean and standard deviation (SD) are essential for synthesizing effect sizes across studies. However, clinical studies frequently report alternative summary statistics, such as the median, quartiles, and range. To enable inclusion of such studies, various methods have…
Mira Flasch, Gunda Koellensperger, Benedikt Warth
The chemical exposome consists of environmental exposures experienced throughout a lifetime but to date analytical approaches to investigate the plethora of low-abundance chemicals remain very limited. Liquid chromatography high-resolution mass spectrometry (HRMS) is commonly applied in untargeted exposome-wide…
Joseph Feldman, Daniel R. Kowal
Quantile regression is a powerful tool in epidemiological studies where interest lies in inferring how different exposures affect specific percentiles of the distribution of a health or life outcome. Existing methods either estimate conditional quantiles separately for each quantile of interest or estimate the entire…
Authors not listed
We develop a comprehensive theoretical framework for quantum-enhanced risk modeling in financial systems, establishing mathematical foundations for representing and computing risk factors using quantum states and operations. The theory begins by formulating portfolio risk as quantum observables, where correlations…
Elisabeth A Stelson, Roxanne Dupuis
Qualitative research methods are frequently described as “compatible” with quantitative epidemiologic methods. Instead of simply “compatible,” we argue that qualitative methods are epidemiologic methods. Especially in social epidemiology, which embraces the relationships between psychosocial, historical, contextual…
Udara Kumaranathunga, Alysha De Livera, Luke A. Prendergast
In recent years, there has been much progress toward the development of methods for converting three- and five-number summary statistics (i.e. minimum, maximum, median, and quartiles) to means and standard deviations (SDs). This is commonly done in the meta-analysis setting, where some studies report means and SDs…
James Wellnitz, Sankalp Jain, Joshua Hochuli, Travis Maxfield + 3 more
Traditional best practices for Quantitative Structure Activity Relationship (QSAR) modeling recommend dataset balancing and balanced accuracy (BA) as the key desired objective of model development. This study challenges the conventional norms by recommending the use of models with the highest positive predictive value…
Natascha Drude, Camila Baselly, Małgorzata Anna Gazda, Jan-Niklas May + 4 more
Reproducibility is a significant concern in scientific research and complex methods like quantitative polymerase chain reaction (qPCR) demand stringent reporting standards to ensure that the methods are reproducible, data are sound, and conclusions are trustworthy. Although the MIQE (Minimum Information for Publication…
Neal M. Kingston, Taylor D. Wilson, Rafael Quintana, Anqi Peng
Quantitative methods in psychology have been a source of controversy for decades. When misapplied or misinterpreted, they can provide a false sense of objectivity and/or lead to faulty inferences, impeding the progress of psychological research. Moreover, misunderstanding and misinterpretation of certain quantitative…
Authors not listed
The Single-probe is a multifunctional device that can be coupled to mass spectrometry (MS) for molecular analysis of microscale samples, such as single cells, tissue slices, and multicellular spheroids, under ambient conditions. In Single-probe single cell MS (SCMS) studies, this technique leverages direct sampling and…
Andrea L. Nevedal, Christine P. Kowalski, Erin P. Finley, Gemmae M. Fix + 2 more
Background Qualitative methods are central to implementation research. Qualitative research provides rich contextual insight into lived experiences of health and illness, healthcare systems and care delivery, and complex implementation processes. However, quantitative methods have historically been favored by editors…
Amelia Carolina Sparavigna
Previous studies (Sparavigna, 2023) have demonstrated the Tsallis q-Gaussian functions suitable for the analysis of Raman spectra. Here we consider two asymmetric forms of them, with the aim of further improving the fitting of Raman spectra. The first asymmetric form, that we are here proposing for the first time, is a…
F. J. D. Lange, Juliane C. Wilcke, Sabine Hoffmann, Moritz Herrmann + 1 more
'Anne-Laure Boulesteix'] Empirical substantive research, such as in the life or social sciences, is commonly categorized into the two modes exploratory and confirmatory, both of which are essential to scientific progress. The former is also referred to as hypothesis-generating or data-contingent research, the latter is…