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Análisis de series de tiempo
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2321por Grylka-Baeschlin, Susanne, Aeberli, Regula, Guenthard-Uhl, Barbara, Meier-Kaeppeli, Barbara, Leu-tenegger, Vanessa, Volken, Thomas, Pehlke-Milde, Jessica“…Descriptive and multivariable time series analysis were used for quantitative and content analysis for qualitative data. …”
Publicado 2022
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2322por Rundquist, Olof, Nestor, Colm E., Jenmalm, Maria C., Hellberg, Sandra, Gustafsson, Mika“…Here, we performed detailed characterization of how P4 affects the chromatin and transcriptomic landscape during early human T(H)1 differentiation, utilizing both ATAC-seq and RNA-seq. Time series analysis of the earlier events (0.5-24 hrs) during T(H)1 differentiation revealed that P4 counteracted many of the changes induced during normal differentiation, mainly by downregulating key regulatory genes and their upstream transcription factors (TFs) involved in the initial T-cell activation. …”
Publicado 2022
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2323“…METHODS: A retrospective interrupted time-series analysis was conducted. The national database of the Hospital Remuneration System was used to retrieve the number of operations performed between January 2019 and September 2021 including elective and non-elective cases with the exception of malign diseases. …”
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2324por Gonzalez, Juan Nicolas, Camarero-Orive, Alberto, González-Cancelas, Nicoletta, Guzman, Andres Felipe“…The total freight transported in 2020 was predicted based on a time series analysis considering the system's performance. …”
Publicado 2022
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2325“…From a statistical point of view, the data on disasters can address a number of applications using both supervised and unsupervised machine learning techniques such as, for time series analysis or other dynamic models using socioeconomic data as explanatory variables, i.e. data on the size of the poor population, income, education and general development. …”
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2326por LeMasters, Katherine, Ranapurwala, Shabbar, Maner, Morgan, Nowotny, Kathryn M., Peterson, Meghan, Brinkley-Rubinstein, Lauren“…Using interrupted time series analysis, we assessed the relationship between substantial community spread (50/100,000 detected in the last seven days) and active COVID-19 case rates (cases detected in the past 14 days/100,000) within prisons. …”
Publicado 2022
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2327por Ribeiro, Edmar Geraldo, Pinheiro, Pedro Cisalpino, Nascimento, Bruno Ramos, Cacique, João Pedro Pereira, Teixeira, Renato Azeredo, Nascimento, Jamil de Souza, Franco, Tulio Batista, Brant, Luisa Campos Caldeira, Malta, Deborah Carvalho“…METHODS: In a time-series analysis, this study used administrative data from the national “Hospital Information System” from 2010 to February 2020 to estimate the expected number of hospitalizations for CVD by month during the COVID-19 pandemic in Belo Horizonte in 2020 using the Auto-Regressive Integrated Moving Average model. …”
Publicado 2022
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2328por Yperman, Jan, Popescu, Veronica, Van Wijmeersch, Bart, Becker, Thijs, Peeters, Liesbet M.“…It may also be used as a benchmark for time series analysis and predictive modelling.…”
Publicado 2022
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2329Effects of COVID‐19 pandemic restrictions on an Australian neonatal and paediatric retrieval service“…Statistical process control methodology, a combination of a time series analysis and assessment for common and special cause variation, was used to assess the impact of the COVID‐19 pandemic on retrieval workload (primary outcome of interest). …”
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2330por Kouchakinejad-Eramsadati, Leila, Amiri, Mostafa, Soltani, Soheil, Allahbakhshi, Kiyoumars“…Descriptive and Poisson regression and time series analysis were used. RESULTS: The number of missions before the COVID-19 outbreak was 35.6 per year and 32 after it. …”
Publicado 2022
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2331“…In order to improve the dynamic response frequency of the wearable robotic perception system, a sensor signal based on time series analysis is proposed. The online prediction algorithm, which can perform single-step or multistep prediction under the premise of ensuring certain accuracy, can multiply the dynamic response frequency of the wearable-assisted robot sensing system to ensure the real-time performance of the whole system. …”
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2332por Dichter, Melissa E., Chhatre, Sumedha, Hoffmire, Claire, Bellamy, Scarlett, Montgomery, Ann Elizabeth, McCoy, Ian“…METHODS: Analysis of call frequency from VCL administrative records for all veteran contacts calling on their own behalf with gender identified from January 1, 2018 through December 31, 2020. Interrupted time series analysis used to identify potential impact of COVID-19 pandemic on call volume by women and men veteran contacts. …”
Publicado 2022
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2333“…We carried out a time-series analysis of the association between the concentrations of various air pollutants and the risk of hospital admission due to asthma over 7 days from exposure. …”
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2334por Al-Imam, Ahmed, Motyka, Marek A., Witulska, Zuzanna, Younus, Manal, Michalak, Michał“…We conducted Holt–Winters exponential smoothing for time series analysis to infer potential seasonality. We utilized hierarchical clustering analysis based on Ward’s method to find similarities of psychedelics’ interest within Poland’s voivodships before and during the pandemic. …”
Publicado 2022
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2335“…Therefore, it can be concluded that time series analysis is important in numerical modeling. …”
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2336por Al-Hashimy, Zainab Said, Conway, Barbara R., Al-Yaqoobi, Mubarak, Khamis, Faryal, Al Mawali, Ghalib Zahran, Al Maashani, Aisha Mahad, Al Hadhrami, Yaqoob Said, Al Alawi, Said Salim, Al Mamari, Mohammed Said, Lattyak, William J., Lattyak, Elizabeth A., Aldiab, Motasem, Gould, Ian, López-Lozano, José-María, Aldeyab, Mamoon A.“…By using non-linear time-series analysis, we identified different thresholds in the use of third-generation cephalosporins, piperacillin-tazobactam, aminoglycoside, and fluoroquinolones across participating hospitals. …”
Publicado 2022
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2337por Jayaram, Anup, Jagadesh, Anitha, Kumar, Ajay M. V., Davtyan, Hayk, Thekkur, Pruthu, Vilas, Victor J. Del Rio, Mandal, Shrawan Kumar, Sudandiradas, Robin, Babu, Naren, Varamballi, Prasad, Shetty, Ujwal, Mukhopadhyay, Chiranjay“…The median (IQR) number of influenza cases detected per month during the pre-COVID-19 period was 190 (113–372), compared to 29 (27–30) during the COVID-19 period (p value < 0.001). Interrupted time series analysis (adjusting for seasonality and testing charges) confirmed a significant reduction in the total number of samples tested and influenza cases detected during the COVID-19 period. …”
Publicado 2022
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2338por Penington, Ed, Lennox, Belinda, Geulayov, Galit, Hawton, Keith, Tsiachristas, Apostolos“…We used interrupted time-series analysis to estimate the immediate and subsequent changes in weekly rates of the use of community mental health services, hospitalization, and patient outcomes (as measured by Health of the Nation Outcome Scales, or HoNOS, scores) during the weeks of lockdown between March 23, 2020 and July 3, 2020. …”
Publicado 2022
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2339“…Temporal distance gait variables, ground reaction force components as well as lower limb joints angle, moment, and power were compared using Paired t-test and Statistical Parametric Mapping package for time-series analysis. Running with boots was associated with greater stride, step, flight, and swing times, greater flight length, and smaller cadence (p<0.05). …”
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2340por Cariappa, AG Adeeth, Acharya, Kamlesh Kumar, Adhav, Chaitanya Ashok, R, Sendhil, Ramasundaram, P., Kumar, Anuj, Singh, Satyavir, Singh, Gyanendra Pratap“…The study, using the interrupted time series analysis, investigated the disruption in wheat supply chain, and captured the impact of lockdown on wheat prices. …”
Publicado 2022
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