26 papers · ranked by Valyu relevance
Cylie M. Williams, Elizabeth H. Skinner, Alicia M. James, Jill L. Cook + 2 more
'Jill L. Cook' 'Steven M. McPhail' 'Terry P. Haines'] Comparative effectiveness research compares two active forms of treatment or usual care in comparison with usual care with an additional intervention element. These types of study are commonly conducted following a placebo or no active treatment trial. Research…
Francesco Chiappelli, Vandan R. Kasar, Nicole Balenton, Allen Khakshooy
Translational science conceptualizes healthcare as a concerted set of processes that integrate research findings from the bench to the bedside. This model of healthcare is effectiveness-focused, patient-centered, and evidence-based, and yields evidence-based revisions of practice-based guidelines, which emerge from…
Adrian Towse, Bengt Jonsson, Clare McGrath, Anne Mason + 4 more
APPROACH Towse et al. A health production approach to relative effectiveness Authors: ['Adrian Towse' 'Bengt Jonsson' 'Clare McGrath' 'Anne Mason' 'Ruth Puig-Peiro' 'Jorge Mestre-Ferrandiz' 'Michele Pistollato' 'Nancy Devlin'] Background: Relative effectiveness has become a key concern of health policy. In Europe, this…
Anna Heath, Maryna Yaskina, Petros Pechlivanoglou, Juan David Ríos + 4 more
'Martin Offringa' 'Terry P. Klassen' 'Naveen Poonai' 'Eleanor Pullenayegum'] Background/Aims: Combinations of treatments that have already received regulatory approval can offer additional benefit over each of the treatments individually. However, trials of these combinations are lower priority than those that develop…
Claudia M. Witt, Eric Manheimer, Richard Hammerschlag, Rainer Lüdtke + 4 more
'Lixing Lao' 'Sean R. Tunis' 'Brian M. Berman' 'Laxmaiah Manchikanti'] Background For Comparative Effectiveness Research (CER) there is a need to develop scales for appraisal of available clinical research. Aims were to 1) test the feasibility of applying the pragmatic-explanatory continuum indicator summary tool and…
Sarah Donegan, Paula Williamson, Carrol Gamble, Catrin Tudur-Smith + 1 more
'Tammy Clifford'] Background The indirect comparison of two interventions can be valuable in many situations. However, the quality of an indirect comparison will depend on several factors including the chosen methodology and validity of underlying assumptions. Published indirect comparisons are increasingly more common…
Maria E. Montez‐Rath, Kristopher Kapphahn, Maya B Mathur, Natasha Purington + 2 more
'Natasha Purington' 'Vilija R. Joyce' 'Manisha Desai'] Abstract. Simulation studies are useful for evaluating and developing statistical methods for the analyses of complex problems. Performance of methods may be affected by multiple complexities present in real scenarios. Generating sufficiently realistic data for…
Hong Xiong, Jean M. Connors, Deborah Schrag, Hajime Uno
Time-to-Event Outcomes: A Numerical Study Authors: ['Hong Xiong' 'Jean M. Connors' 'Deborah Schrag' 'Hajime Uno'] The average hazard (AH), recently introduced by Uno and Horiguchi, represents a novel summary metric of event time distributions, conceptualized as the general censoring-free average person-time incidence…
Andrew Piscitello, Leila Saoud, A. Mark Fendrick, Bijan J. Borah + 5 more
Real-world adherence to colorectal cancer (CRC) screening strategies is imperfect. The CRC-AIM microsimulation model was used to estimate the impact of imperfect adherence on the relative benefits and burdens of guideline-endorsed, stool-based screening strategies. Predicted outcomes of multi-target stool DNA…
Bethany Percha, Edward B. Baskerville, Matthew Johnson, Joel Dudley + 1 more
Recent advances in molecular biology, sensors, and digital medicine have led to an explosion of products and services for high-resolution monitoring of individual health. The N-of-1 study has emerged as an important methodological tool for harnessing these new data sources, enabling researchers to compare the…
Kirk Bansak
Experiments often include multiple treatments, with the primary goal to compare the causal effects of multiple treatments. While comparing the magnitudes of the average treatment effects (ATEs) is straightforward, there exist few methods to systematically compare the causal anatomies of each treatment—that is, the…
Lucy A. Savitz, Samuel T. Savitz
Understanding costs and ensuring that we demonstrate value in healthcare is a foundational presumption as we transform the way we deliver and pay for healthcare in the U.S. With a focus on population health and payment reforms underway, there is increased pressure to examine cost-effectiveness in healthcare delivery.…
Alexei Botchkarev
Economic evaluation (EE) is a dynamically advancing knowledge area of health economics. It has been conceived to provide evidence for allocating scarce resources to gain the best value for money. The problem of efficiency of investments becomes even more crucial with advances in modern medicine and public health which…
Michal Ozery-Flato, Tal El-Hay, Ranit Aharonov, Naama Parush-Shear-Yashuv + 6 more
Electronic health records and health insurance claims, providing observational data on millions of patients, offer great opportunities, and challenges, for population health studies. The objective of this study is to utilize observational data for identifying subpopulations that are likely to benefit from a given…
Adriani Nikolakopoulou, Julian PT Higgins, Theodore Papakonstantinou, Anna Chaimani + 3 more
Evaluation of the credibility of results from a meta-analysis has become an intrinsic part of the evidence synthesis process. We present a methodological framework to evaluate Confidence In the results from Network Meta-Analysis (CINeMA) when multiple interventions are compared. CINeMA considers six domains and we…
Regina El Dib, Eliane Chaves Jorge, Amélia Kamegasawa, Solange Ramires Daher + 21 more
'Solange Ramires Daher' 'Regina Stella Spagnuolo' 'Marise Pereira da Silva' 'Gabriel Pereira Braga' 'Enilze Volpato' 'Norma Sueli Pinheiro Módolo' 'Marluci Betini' 'Adriana do Valle' 'Ione Corrêa' 'Rodrigo Bazan' 'Ricardo Augusto MB Almeida' 'Silke Anna Theresa Weber' 'Silvana Molina' 'Hugo Yoo' 'Paulo Villas Boas'…
Szu Szu Ling, Fabrice Saffre, Deborah L. Gater, Lilia Halim + 1 more
Computer quiz games are introduced to improve teaching and learning in a freshman engineering chemistry course in an English-as-a-Second-Language (ESL) environment. These quiz games are developed and implemented as a supplemental and augmentative tool to enhance traditionally delivered lectures. The paper shows an…
Joshua L Warren, Daniel M. Weinberger
Pneumococcal conjugate vaccines (PCVs) target 10 or 13 specific serotypes. To evaluate vaccine efficacy for these products, the vaccine-targeted serotypes are typically aggregated into a single group to estimate an overall effect. However, it is often desirable to evaluate variations in effects for different serotypes.…
Felix Kaspar
The term efficient has gained great popularity in the chemical literature, despite the lack of an applicable and relatable definition. In this perspective, a chemical definition of efficiency is discussed building on the concept of non-wasteful resource usage. It is proposed than an efficient method, synthesis or…
Joshua Hesse, Davide Boldini, Stephan Sieber
In the rapidly evolving field of drug discovery, High Throughput Screening (HTS) is a pivotal technique for identifying promising compounds. Despite its wide usage, the primary challenge remains in efficiently sifting through vast chemical libraries to discern true bioactive compounds from false positives. This study…
David Phillippo, Antonio Remiro‐Azócar, Anna Heath, Gianluca Baio + 3 more
treatment decisions: a review of marginal and conditional estimands and recommendations for decision-making Authors: ['David Phillippo' 'Antonio Remiro‐Azócar' 'Anna Heath' 'Gianluca Baio' 'Sofia Dias' 'A. E. Ades' 'Nicky J. Welton'] Anna Heath Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto…
Authors not listed
Graph Neural Networks (GNNs) are powerful tools for molecular property prediction, but they are not magic. When applied to molecules unlike their training data, they produce unreliable predictions that are difficult to detect. The Applicability Domain (AD) concept addresses this by defining regions of chemical space…
Authors not listed
The recent synthetic accessibility of aluminosilicate and all-silica zeolites with extremely large pore sizes opens new opportunities in materials science. Beyond their catalytic applications, these novel materials uniquely enable the adsorption of very large molecules—a capability previously unrealized with…
Authors not listed
Membrane-based carbon capture offers an energy-efficient and environmentally-friendly alternative to conventional absorption-based processes, yet remains limited by its performance with dilute CO₂ sources such as natural gas power plants. We present a techno-economic assessment of a pyridinic-N-substituted graphene…
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The rise of antimicrobial resistant (AMR) infection represents a growing threat to the global population and to economic health. The majority of antimicrobial innovations are developed against planktonic microorganisms, however those same microorganisms contained within a biofilm can become over 1000 times more…
Anja Collazo, Hans-Georg Kuhn, Tobias Kurth, Marco Piccininni + 1 more
Animal attrition in preclinical experiments can introduce bias in the estimation of causal treatment effects, as surviving animals may not be representative of the entire study population. This can compromise the internal validity of the study, despite randomization at the outset. Directed Acyclic Graphs (DAGs) are…