15 papers · ranked by Valyu relevance
Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi
In the problem of multiple support recovery, we are given access to linear measurements of multiple sparse samples in Rd . These samples can be partitioned into ℓ groups, with samples having the same support belonging to the same group. For a given budget of m measurements per sample, the goal is to recover the ℓ…
Ying Cao, Ronald C Chen, Aaron J Katz
A sample comprises the individuals from whom we collect data and represents a share of the population (N) for whom we want to draw conclusions (eg, women breast cancer). The sample size (n) is the number of individual people, experimental units, or other elements included in a sample, and is a central concept in…
Oliver Braganza, Luis M. Miller
Several systematic studies have suggested that a large fraction of published research is not reproducible. One probable reason for low reproducibility is insufficient sample size, resulting in low power and low positive predictive value. It has been suggested that insufficient sample-size choice is driven by a…
Andreas Hinz, Peter Esser, Diana Richter, Antje Schönfelder + 8 more
'Heide Glaesmer' 'Antje Lehmann-Laue' 'Svenja Heyne' 'Katja Leuteritz' 'Annekathrin Sender' 'Franziska Springer' 'Heide Götze' 'Anja Mehnert-Theuerkauf'] Social support is an important resource that is assumed to buffer the effect of stressful events on health. The aims of this study were to test psychometric…
D. Samuel Schwarzkopf
The problems with classical frequentist statistics are well established, yet the enthusiasm of researchers to adopt alternatives like Bayesian inference remains modest. Here I present the bootstrapped evidence test, an objective resampling procedure that takes the precision with which both the experimental and null…
Authors not listed
During early-stage biotherapeutic development, analytical methods play an important role in candidate screening, process development, formulation screening and stability determination. However, developing sensitive and robust analytical methods is challenging in the early stages as there is often insufficient product…
Keondo Lee, Donghyeon Lee, Sangwon Baek, Jaehyun Park + 7 more
Serial femtosecond crystallography (SFX) enables the determination of a room-temperature crystal structure of macromolecules without causing radiation damage, as well as provides time-resolved molecular dynamics data in pump-probe experiments. Fixed-target SFX (FT-SFX) can minimize sample consumption and physical…
Iris Hochgraeber, Sabine Bartholomeyczik, Bernhard Holle
Background Low-threshold support services are a part of the German health care system and help relieving family caregivers. There is limited information available on how to construct and implement low-threshold support services for people with dementia and their families in Germany. Some studies describe separately…
Frédéric Lemoine, Olivier Gascuel
Felsenstein’s bootstrap is the most commonly used method to measure branch support in phylogenetics. Current sequencing technologies can result in massive sampling of taxa (e.g. SARS-CoV-2). In this case, the sequences are very close, the trees are short, and the branches correspond to a small number of mutations…
Theo Desachy, Marc Thevenet, Samuel Garcia, Anistasha Lightning + 3 more
Studies with low statistical power reduce the probability of detecting true effects and often lead to overestimated effect sizes, undermining the reproducibility of scientific results. While several free statistical software tools are available for calculating statistical power, they often do not account for the…
Zeyu Guo
Curve samplers are sampling algorithms that proceed by viewing the domain as a vector space over a finite field, and randomly picking a low-degree curve in it as the sample. Curve samplers exhibit a nice property besides the sampling property: the restriction of low-degree polynomials over the domain to the sampled…
Clint Bowers, Deborah C. Beidel, Victoria L. Steigerwald, Paul S. Links
First responders face adverse health effects because they regularly encounter stressful situations and potentially traumatic events. Peer support programs have emerged as a method to reduce these adverse outcomes. A growing interest in peer programs exists despite a restricted body of research in this field.…
Authors not listed
We present the design and validation of a recirculating loop reactor that enables steady-state kinetic measurements for heterogeneous catalysis. This reactor is particularly suited for thin films and low surface area catalysts, which are not effectively evaluated in traditional flow reactors. Key improvements over…
Kohei Ogawa, Yoshiki Suzuki, Shinya Suzumura, Ichiro Takeuchi
Sparse classifiers such as the support vector machines (SVM) are efficient in test-phases because the classifier is characterized only by a subset of the samples called support vectors (SVs), and the rest of the samples (non SVs) have no influence on the classification result. However, the advantage of the sparsity has…
Pamela Reinagel
After an experiment has been completed and analyzed, a trend may be observed that is “not quite significant”. Sometimes in this situation, researchers incrementally grow their sample size N in an effort to achieve statistical significance. This is especially tempting in situations when samples are very costly or…