Article
Surgery
Dean M. Toriumi, Milos Kovacevic, Aaron M. Kosins
Summary: Structural preservation rhinoplasty combines structure rhinoplasty and preservation rhinoplasty to maximize the outcomes of nose surgery. By preserving the favorable attributes and using grafts for shaping, this technique provides better aesthetics and functionality.
PLASTIC AND RECONSTRUCTIVE SURGERY
(2022)
Article
Pharmacology & Pharmacy
Francesco Mariani, Fulvio De Santis, Stefania Gubbiotti
Summary: This paper proposes a method to construct the prior distribution of the control effect parameter using previous data, and compares normal means using MCMC to handle the unknown variance assumption. A simulation study is conducted to analyze the frequentist size and power of the proposed test, and comparisons with some existing methods are investigated.
PHARMACEUTICAL STATISTICS
(2023)
Article
Multidisciplinary Sciences
Mohit Kumar, Priya Mukherjee, Sahil Verma, Kavita, Jana Shafi, Marcin Wozniak, Muhammad Fazal Ijaz
Summary: The Industrial Internet of Things (IIoT) faces challenges in data privacy and security. This research paper proposes a privacy preservation model in IIoT using artificial intelligent techniques. The model involves two stages: data sanitization and restoration. The sanitization process hides sensitive information and generates optimal keys using a new algorithm. The simulation results demonstrate the superiority of the proposed model over other state-of-the-art models in terms of performance metrics.
SCIENTIFIC REPORTS
(2023)
Article
Statistics & Probability
Erina Paul, Ram C. Tiwari, Shrabanti Chowdhury, Samiran Ghosh
Summary: Finding improved intervention is important for reducing medical expenses and improving treatment outcomes. Clinical efficacy is the primary criteria for evaluating treatment, but other factors like side-effects and cost should also be considered. Non-inferiority testing is often needed to evaluate treatment options for specific patient subgroups.
JOURNAL OF APPLIED STATISTICS
(2023)
Article
Health Care Sciences & Services
Ruizhe Chen, Sanjib Basu, Jeffrey P. Meyers, Qian Shi
Summary: The restricted mean survival time is an important measure in oncology trials and has gained a lot of interest for its intuitive clinical interpretation and statistical power. This article presents a methodology for non-inferiority margin conversion and introduces a Kaplan-Meier estimator-based method to relax the parametric assumption. Simulation studies show the performance of the proposed methods under different data generative models.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2022)
Article
Neurosciences
Jessica Gemignani, Irene de la Cruz-Pavia, Anna Martinez, Caroline Nallet, Alessia Pasquini, Gaia Lucarini, Francesca Cavicchiolo, Judit Gervain
Summary: Concerns about reproducibility of experimental findings have emerged in various disciplines. This study aimed to test the replicability of effects observed in NIRS experiments assessing infants' rule-learning ability. The results showed that the effects were replicable and comparable across different studies and labs. Furthermore, the effects varied depending on the participants' age and the type of regularities tested.
Article
Computer Science, Artificial Intelligence
Shangkun Deng, Xiaoru Huang, Zhaohui Qin, Zhe Fu, Tianxiang Yang
Summary: The novel hybrid method MCXGBoost-Bagging-RegPSO showed outstanding performance in forecasting the price direction of high-frequency Apple Futures and executing profitable simulation trading. It can serve as a valuable reference for both intraday traders and market regulators.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Information Systems
Bo Peng, Lifan Wu, Yang Wang, Qinghua Wu
Summary: The study proposes a heuristic method called the HABC algorithm to address the MQC problem by incorporating multiple strategies into the artificial bee colony framework. Experimental results show that the algorithm can improve the best-known solutions for 46 out of 112 problem instances.
INFORMATION SCIENCES
(2021)
Article
Medicine, Research & Experimental
Thomas R. Fleming, Philip R. Krause, Martha Nason, Ira M. Longini, Ana-Maria M. Henao-Restrepo
Summary: Non-inferiority trials aim to evaluate the efficacy of experimental vaccines by comparing them to established effective active control vaccines. This article explores non-inferiority margins to address global vaccine needs and proposes methods to reliably assess experimental vaccine efficacy.
Article
Surgery
Richard Garfinkle, Ebram Salama, Alexandre Amar-Zifkin, Nancy Morin, Gabriela Ghitulescu, Julio Faria, Carol-Ann Vasilevsky, Marylise Boutros
Summary: This study compares the effectiveness of observational therapy and antibiotics for the treatment of acute uncomplicated diverticulitis. The results show that observational therapy is as effective as antibiotics in terms of persistent diverticulitis and progression to complicated diverticulitis.
Article
Food Science & Technology
Francesco Bigi, Enrico Maurizzi, Andrea Quartieri, Riccardo De Leo, Maria Gullo, Andrea Pulvirenti
Summary: Food technology has been vital in human civilization, improving safety and quality of food. Conventional preservation techniques have raised concerns about their environmental impact and negative effects on food quality, prompting the development of sustainable non-thermal technologies. The hurdle approach has been proposed to overcome the limitations of single techniques and optimize food preservation.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Satnam Kaur, Lalit K. Awasthi, A. L. Sangal
Summary: The proposed HMOSHSSA algorithm combines the strengths of MOSHO and SSA to effectively explore the search space and achieve faster convergence to the global best solution. Experimental results demonstrate its competitiveness and superiority in terms of convergence speed, search-ability, and accuracy, surpassing other algorithms. This algorithm also shows efficacy in solving real-life multi-objective optimization problems.
ENGINEERING WITH COMPUTERS
(2021)
Article
Medicine, Research & Experimental
Zhong Li, Matteo Quartagno, Stefan Bohringer, Nan van Geloven
Summary: The size of the margin impacts sample size in non-inferiority and equivalence trials. The scale of the margin in trials with binary outcomes also affects power and sample size requirement. Changes in scale during or after a trial can have varying impacts on type I and type II error rates.
Article
Computer Science, Artificial Intelligence
Saif Al-Mashhadi, Mohammed Anbar, Iznan Hasbullah, Taief Alaa Alamiedy
Summary: This study examines the abnormality of DNS traffic during the botnet lifecycle to extract significant enriched features, which are further analyzed using two machine learning algorithms. The output of two algorithms proposes a novel hybrid rule detection model approach. The experimental results show that the proposed approach has a 99.96% accuracy and a 1.6% false-positive rate, outperforming other state-of-the-art DNS-based botnet detection approaches.
PEERJ COMPUTER SCIENCE
(2021)
Article
Multidisciplinary Sciences
Poonam Singh, Maitreyee Dutta, Naveen Aggarwal
Summary: Workflow scheduling in IaaS cloud infrastructure is a research issue, and this paper proposes a multi-objective optimization model to minimize makespan and execution cost. By using a non-dominated sort-based hybrid wind-driven optimization algorithm, a Pareto optimal solution set is generated, improving the diversity and accuracy of solutions.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Mathematics, Interdisciplinary Applications
Robert C. MacCallum, Anthony O'Hagan
Article
Biology
Heinz Schmidli, Sandro Gsteiger, Satrajit Roychoudhury, Anthony O'Hagan, David Spiegelhalter, Beat Neuenschwander
Article
Mathematics, Applied
Jenny Brynjarsdottir, Anthony O'Hagan
Article
Statistics & Probability
Rita Esther Zapata-Vazquez, Anthony O'Hagan, Leonardo Soares Bastos
JOURNAL OF APPLIED STATISTICS
(2014)
Article
Engineering, Civil
Alec Erskine, Tim Watson, Anthony O'Hagan, Samantha Ledgar, Deborah Redfearn
JOURNAL OF INFRASTRUCTURE SYSTEMS
(2014)
Article
Instruments & Instrumentation
Anthony O'Hagan
Article
Statistics & Probability
Naomi C. Brownstein, Thomas A. Louis, Anthony O'Hagan, Jane Pendergast
AMERICAN STATISTICIAN
(2019)
Article
Biology
Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, Anthony O'Hagan
Editorial Material
Biology
Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, Anthony O'Hagan
Article
Psychology, Developmental
Lucie Jurek, Matias Baltazar, Sheffali Gulati, Neda Novakovic, Maria Nunez, Jeremy Oakley, Anthony O'Hagan
Summary: Experts in the field of ASD have defined a response on the CARS2 scale for interventions in patients with Autism Spectrum Disorder, with a threshold of 4.5 points improvement in CARS-2 scores considered meaningful for evaluating intervention efficacy.
EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
(2022)
Correction
Psychology, Developmental
Lucie Jurek, Matias Baltazar, Sheffali Gulati, Neda Novakovic, Maria Nunez, Jeremy Oakley, Anthony O'Hagan
EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
(2023)
Editorial Material
Chemistry, Analytical
Maurice Cox, Anthony O'Hagan
Summary: The Guide to the expression of uncertainty in measurement (GUM) has been the definitive guide for metrologists on measurement uncertainty since 1993. In this article, a new measure of uncertainty called characteristic uncertainty is proposed as a more suitable alternative to standard uncertainty. The characteristic uncertainty is recommended for reporting measurement results and the median estimate is advocated as the measured value. Simple propagation of the median and characteristic uncertainty is proposed for propagating uncertainty in a measurement model, which is shown to be simpler and at least as reliable and accurate as the GUM uncertainty framework.
ACCREDITATION AND QUALITY ASSURANCE
(2022)
Article
Pharmacology & Pharmacy
Bjoern Holzhauer, Lisa Hampson, John Paul Gosling, Bjoern Bornkamp, Joseph Kahn, Markus R. Lange, Wen-Lin Luo, Caterina Brindicci, David Lawrence, Steffen Ballerstedt, Anthony O'Hagan
Summary: Pharmaceutical companies often need to make decisions about drug development programs based on limited knowledge from early stage clinical trials. This article discusses the use of expert judgements to synthesize evidence on unknown quantities of interest. Two approaches within the SHELF framework are presented for establishing a multivariate distribution for related quantities. The article also demonstrates how these approaches were used in assessing the probability of success for an asthma drug's registrational program, with the experts' judgements aligning well with the final trial results.
PHARMACEUTICAL STATISTICS
(2022)
Article
Instruments & Instrumentation
Anthony O'Hagan, Maurice Cox
Summary: The expression of uncertainty in a measurement should be based on the metrologist's judgment and expertise, as well as on data and other relevant information sources. However, current guidelines only consider data to be relevant in statistical evaluation, neglecting the potential usefulness of other information sources. Bayesian statistical methods, which allow the use of prior information, have been proposed as a solution to this issue, but the metrology community has shown resistance to using subjective prior probability distributions. This paper presents two prior distributions for Type A evaluations, demonstrates their benefits, and provides guidance for verifying their validity.
Letter
Social Sciences, Mathematical Methods
Jakub Bijak, Isabel Alberts, Juha Alho, John Bryant, Thomas Buettner, Jane Falkingham, Jonathan J. Forster, Patrick Gerland, Thomas King, Luca Onorante, Nico Keilman, Anthony O'Hagan, Darragh Owens, Adrian Raftery, Hana Sevcikova, Peter W. F. Smith
JOURNAL OF OFFICIAL STATISTICS
(2015)