Nature

Continuous-Time Autoregressive Moving Average Processes

Continuous-Time Autoregressive Moving Average (CARMA) processes extend the classical discrete-time ARMA framework to continuous time, offering a flexible modelling approach for phenomena where ...
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Predicting symptom complexity: Using autoregressive integrated moving average (ARIMA) models to create responsive clinic scheduling.

Impact of COVID19 pandemic on the hospitalization burden of cancer patients: Results of a quasi-experimental study. This is an ASCO Meeting Abstract from the 2021 ASCO Annual Meeting I. This abstract ...
Nature

Malaria amidst the COVID-19 pandemic in Gabon: an application of autoregressive integrated moving average (ARIMA) models within an interrupted time series (ITS) framework to ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
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Forecasting incidence and mortality rates of prostate cancer in older adults using autoregressive integrated moving average (ARIMA).

Prevalence of obesity/overweight and its relationship with incidence of pancreatic cancer in the US states using BRFSS and CDC WONDER database of 2021.