Results 151 to 160 of about 21,185 (243)

Sample size requirements to evaluate policies in addiction research using interrupted time series analysis (ITS): Tools and guidance

Addiction, Volume 121, Issue 3, Page 695-712, March 2026.
Abstract Formal power calculations are rarely presented in interrupted time‐series (ITS) studies due to their technical complexity, creating a significant gap in methodological rigor. This paper aimed to make power and sample size determination more accessible for researchers, particularly in the field of addiction, by providing a suite of practical ...
Emma Beard, Jamie Brown, Lion Shahab
wiley   +1 more source

Modeling and forecasting Saudi banking stability using ARIMA and exponential smoothing technique. [PDF]

Front Artif Intell
Alnajjar A, Assous HF, Al-Najjar H.
europepmc   +1 more source

Forecasting the Age Structure of the Scientific Workforce in Australia

Australian &New Zealand Journal of Statistics, Volume 68, Issue 1, March 2026.
ABSTRACT Planning for a future workforce requires forecasts of age structure changes to inform policy decisions, particularly related to universities and immigration. We propose a new dynamic statistical model for forecasting the age structure of a workforce.
Rob J. Hyndman, Khuyen Vanh Nguyen
wiley   +1 more source

Dynamic prediction of adolescent sports injury probability based on the improved ARIMA model in the background of digital physical education teaching. [PDF]

Sci Rep
Wang K.
europepmc   +1 more source

Clinical features and incidence of central nervous system involvement in patients with adult T‐cell leukaemia/lymphoma

British Journal of Haematology, Volume 208, Issue 3, Page 947-953, March 2026.
Summary Central nervous system (CNS) involvement is a known complication of adult T‐cell leukaemia/lymphoma (ATL), but its clinical characteristics and incidence still remain unclear. This study characterized the clinical features and incidence of CNS involvement in patients with ATL (CNS‐ATL).
Takuya Ueno, Makoto Yoshimitsu, Momone Sameshima, Taichi Nagano, Rika Akahoshi, Yusetsu Takeshita, Aya Shodai, Kodai Shima, Naosuke Arima, Yuhei Kamada, Daisuke Nakamura, Kenji Ishitsuka   +11 more
wiley   +1 more source

A hybrid prediction model for PM_2.5 concentration based on high-frequency and low-frequency IMFs with EMD decomposition. [PDF]

Sci Rep
Wang P, Wu Q, Zhang G.
europepmc   +1 more source

Green Innovation Optimization for Climate Change ESG Business Readiness: Role of Generative AI in BRICS Countries

European Financial Management, Volume 32, Issue 2, Page 491-508, March 2026.
ABSTRACT Climate change introduces new challenges for businesses which require them to find ways to be resilient. Green innovations contribute to boost Environmental, Social, and Governance (ESG)‐readiness leading to just transition without optimization.
Noman Arshed, Yassine Bakkar, Marco De Sisto, Mubbasher Munir, Shajara Ul‐Durar   +4 more
wiley   +1 more source

Sustainable development goal 3: is Ghana on track with neonatal mortality? [PDF]

BMC Public Health
Adama ZK, Abuga S, Opoku S, Welbeck J.
europepmc   +1 more source

Harnessing Data for Flood Prediction: A Systematic Review of Forecasting Techniques and Information Sources

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Flood forecasting has undergone significant development over the past two decades, with researchers exploring a range of innovative approaches to quantify both the hazards and risks associated with flood events across a range of magnitudes and frequencies.
Amirali Davary, Pete Melville‐Shreeve, Richard Brazier, Albert S. Chen   +3 more
wiley   +1 more source

Evaluation of statistical methods in R for estimating intervention effects using segmented linear regression in the AB interrupted time series design. [PDF]

BMC Med Res Methodol
Pang J, Chen H, Valente MJ.
europepmc   +1 more source