Results 41 to 50 of about 105,549 (303)

N‐of‐1 trials in clinical research: Methodological foundations, statistical approaches and implementation challenges

British Journal of Clinical Pharmacology, EarlyView.
N‐of‐1 trials offer a unique and rigorous methodology for evaluating individualized treatment responses, particularly within the context of personalized medicine. This article provides a comprehensive explanation of the conceptual and methodological underpinnings of N‐of‐1 trials, with particular emphasis on statistical techniques and considerations ...
Marcos Clint Leal De Carvalho, Matheus de Matos Dourado Simões, Ubiratan Cardinalli Adler, Antonio Brazil Viana Junior, Caren Nádia Soares de Sousa, Lia Lira Olivier Sanders   +5 more
wiley   +1 more source

Community Detection and Growth Potential Prediction from Patent Citation Networks

, 2019
The scoring of patents is useful for technology management analysis. Therefore, a necessity of developing citation network clustering and prediction of future citations for practical patent scoring arises.
Carreón, Elisa Claire Alemán, España, Hugo Alberto Mendoza, Hentona, Asahi, Hiraoka, Toru, Hirota, Masaharu, Kataoka, Shotaro, Nakai, Kensei, Nonaka, Hirofumi, Sakumoto, Takeshi   +8 more
core   +1 more source

Does Accounting Scope 3 Emissions Improve Sustainable Business Outcomes? Evidence From the S&P 500 Technology Companies

Business Strategy and the Environment, EarlyView.
ABSTRACT Corporate sustainability efforts increasingly emphasize Scope 3 emissions due to their substantial share of total corporate carbon footprints. However, reporting these emissions remains inconsistent, limiting transparency and comparability across firms.
Nuri C. Onat, Murat Kucukvar, Tadesse Wakjira, Amr Elalfy, Adeeb A. Kutty   +4 more
wiley   +1 more source

A novel hybrid model of ARIMA‐MCC and CKDE‐GARCH for urban short‐term traffic flow prediction

IET Intelligent Transport Systems, 2022
The linearity and heteroscedasticity are the important characteristics of short‐term traffic flow data. Generally, the autoregressive integrated moving average (ARIMA) model and the generalized autoregressive conditional heteroscedasticity (GARCH) model ...
Leina Zhao, Xinyu Wen, Yanpeng Wang, Yiming Shao   +3 more
doaj   +1 more source

Price Prediction Of Basic Material Using ARIMA Forecasting Method Through Open Data Sumedang District

Sistemasi: Jurnal Sistem Informasi, 2023
In the era of Industry 4.0, characterized by the abundance of data, there are many opportunities to carry out various data-related processes. One of these is the data forecasting process which has been widely used.
Kusnawi Kusnawi, M Andika Fadhil Eka Putra, Joang Ipmawati   +2 more
doaj   +1 more source

Measuring the Impact of the Substitution of Innovator Biologics With Biosimilars on Uptake and Costs Among Ontario Public Drug Benefit Recipients

Clinical Pharmacology &Therapeutics, EarlyView.
In Ontario, biologics have historically represented a small proportion of public drug claims but a large proportion of spending. Biosimilars, lower cost alternatives to biologics, offer a potential solution to the rising spending on biologics. From March 2023 to January 2024, the Ontario Ministry of Health required public drug program beneficiaries on ...
Anita Iacono, Martin K. H. Ho, Joanna Yang, Tonya Campbell, William Wynne, Dana Shearer, Lene Andersen, Eric Majer, Shaleesa Ledlie, Mina Tadrous, Tara Gomes   +10 more
wiley   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, EarlyView.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source

Using the State Space Model based on ARIMA Model for Air Temperature Forecasting. [PDF]

المجلة العراقية للعلوم الاحصائية
The high accuracy of forecasts with the temperature data is very important to control environmental damages such as desertification and water resources drought as well as it is important to control the uses of renewable energy and clean energy. Using the
Suha Mahjoob, Osamah Shukur
doaj   +1 more source

Forecasting airport passenger traffic: the case of Hong Kong International Airport [PDF]

, 2011
Hong Kong International Airport is one of the main gateways to Mainland China and the major aviation hub in Asia. An accurate airport traffic demand forecast allows for short and long-term planning and decision making regarding airport facilities and ...
Balli, Hatice Ozer, Gower, Hamish, Tsui, Wai Hong Kan   +2 more
core  

Economic and Technical Assessment of Wind Potential Using SARIMAX Time Series Models: Wind Speed Forecasting and Analysis

Energy Science &Engineering, EarlyView.
The wind energy potential of Khaf was evaluated for 2025 using 15 years of wind data combined with advanced forecasting models, SARIMAX and Prophet. This integrated framework enables precise estimation of wind power density and optimal turbine selection, paving the way for the efficient and sustainable development of wind farms in the region.
Mohammad Amin Valizadeh, Iman Khorsandi Shamir, Abolfazl Ahmadi, Mojtaba Mirhosseini   +3 more
wiley   +1 more source