21 papers · ranked by Valyu relevance
Stefanie Schoenen, Johan Verbeeck, Lukas Koletzko, Isabella Brambilla + 7 more
Background The conduct of rare disease clinical trials is still hampered by methodological problems. The number of patients suffering from a rare condition is variable, but may be very small and unfortunately statistical problems for small and finite populations have received less consideration. This paper describes…
Wenfeng Chen, Naiqing Zhao, Guoyou Qin, Jie Chen
Simultaneous tests of superiority and non-inferiority hypotheses on multiple endpoints are often performed in clinical trials to demonstrate that a new treatment is superior over a control on at least one endpoint and non-inferior on the remaining endpoints. Existing methods tackle this problem by testing the…
E. Davies Smith, Vipul Jairath, Guangyong Zou
Cluster randomization trials commonly employ multiple endpoints. When a single summary of treatment effects across endpoints is of primary interest, global hypothesis testing/effect estimation methods represent a common analysis strategy. However, specification of the joint distribution required by these methods is…
Sören Budig, Klaus Jung, Mario Hasler, Frank Schaarschmidt
In biomedical research, the simultaneous inference of multiple binary endpoints may be of interest. In such cases, an appropriate multiplicity adjustment is required that controls the family-wise error rate, which represents the probability of making incorrect test decisions. In this paper, we investigate two…
María Paula Cantarini, Florencia Ayelén Hernández
In the realm of medical research, the intricate interplay of epidemiological risk, genomic activity, adverse events, and clinical response necessitates a nuanced consideration of multiple variables. Clinical trials, designed to meticulously assess the efficacy and safety of interventions, routinely incorporate a…
Vangelis D. Karalis, Gaetano Santulli
A novel idea is introduced regarding the statistical comparisons of endpoints in clinical trials. Currently, the (dis)similarity of measured endpoints is not assessed. Instead, statistical analysis is directly applied, which can lead to multiplicity issues, reduced statistical power, and the recruitment of more…
Charlotte Vogel, Frank Schaarschmidt, Christian Ritz, Franz Koenig + 1 more
'Ludwig A. Hothorn'] Various methodological options exist on evaluating differences in both subgroups and the overall population. Most desirable is the simultaneous study of multiple endpoints in several populations. We investigate a newer method using multiple marginal models (mmm) which allows flexible handling of…
C. Eric McCoy
Clinicians, institutions, healthcare networks, and policymakers use outcomes reported in clinical trials as the basis for medical decision-making when managing individual patients or populations. Therefore, the choice of a valid primary endpoint is crucial for randomized controlled trials (RCT) to demonstrate efficacy…
Martina McMenamin, Jessica Barrett, Anna Berglind, James Wason
Summary: Mixed outcome endpoints that combine multiple continuous and discrete components to form co-primary, multiple primary or composite endpoints are often employed as primary outcome measures in clinical trials. There are many advantages to joint modelling the individual outcomes using a latent variable framework…
Theodore J. Iwashyna, Adam M. Deane
In practice, critical care practitioners individualize treatments and goals of care for each patient in light of that patient’s acute and chronic pathophysiology, as well as their beliefs and values. Yet critical care researchers routinely measure one endpoint for all patients during randomized clinical trials (RCTs)…
Authors not listed
Herein, we introduce MAYA (Multiple Activity Analyzer), a tool designed to automatically construct a chemical multiverse, generating multiple visualizations of chemical spaces of a compound data set described by structural descriptors of different nature such as Molecular ACCess Systems (MACCS) keys, extended…
Ingo Friese, Rebecca Copeland, Sebastian Göndör, Felix Beierle + 3 more
'Axel Küpper' 'Ricardo Lopes Pereira' 'Jean-Michel Crom'] Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for…
Cyrill Krähenbühl, Marc Wyss, David Basin, Vincent Lenders + 2 more
'Adrian Perrig' 'Martin Strohmeier'] In its current state, the Internet does not provide end users with transparency and control regarding on-path forwarding devices. In particular, the lack of network device information reduces the trustworthiness of the forwarding path and prevents end-user applications requiring…
Constantinos Vassilakis, Maria Polychronaki, Dimosthenis Margaritis, Dimitrios G. Kogias + 1 more
'Dimitrios G. Kogias' 'Helen C. Leligou'] This paper introduces a new routing and touring service both for outdoor and indoor places of touristic and cultural interest designed to be used in the wider area of Attica, Greece. This service is the result of the work performed in OPTORER (OPTORER: OPtimal rouTing and…
Sharon R. Browning, Brian L. Browning
Most methods for fast detection of identity by descent (IBD) segments report identity by state segments without any quantification of the uncertainty in the endpoints and lengths of the IBD segments. We present a method for determining the posterior probability distribution of IBD segment endpoints. Our approach…
Charitha Omprakash, Seyedsina Razavizadeh, Max-Philipp Stenner
Integrating information from multiple sources reduces uncertainty. Besides sensory input, animals have access to another source of information about their body and the environment, i.e., their own motor commands, which alter the body and environment in a predictable way. Does this predictability reduce perceptual…
Zsolt Zador, Alexander Landry, Michael D. Cusimano, Nophar Geifman
Sepsis remains a complex medical problem and a major challenge in healthcare. Diagnostics and outcome predictions are focused on physiological parameters with less consideration given to patients’ medical background. Given the aging population, not only are diseases becoming increasingly prevalent but occur more…
Martin Šícho, Xuhan Liu, Daniel Svozil, Gerard van Westen
This manuscript describes the development and architecture of the GenUI software platform for integration of molecular generators. The source code for the components of the platform is available in the following repositories: https://github.com/martin-sicho/genui https://github.com/martin-sicho/genui-gui…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Theresa Ramelot, Roberto Tejero, Gaetano Montelione
Biomolecules exhibit dynamic behavior that single-state models of their structures cannot fully capture. We review some recent advances for investigating multiple conformations of biomolecules, including experimental methods, molecular dynamics simulations, and machine learning. We also address the challenges…
Yasser El-Manzalawy
Recent technological advances in high-throughput omics technologies and their applications in genomic medicine have opened up outstanding opportunities for individualized medicine. However, several challenges arise in the integrative analysis of such data including heterogeneity and high dimensionality of the omics…