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Análisis de series de tiempo
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Análisis de series cronológicas
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1481“…We carry out a time-series analysis of the combined data from three experiments measuring the cosmic muon flux at the Gran Sasso laboratory, at a depth of 3800 m.w.e. …”
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1482por Arayıcı, Mehmet Emin, Korkut-Uysal, Sila Ovgu, Leblebici, Asim, Akcali, Zeynep, Edizer, Deniz Tuna, Kabul, Seher, Cimrin, Dilek, Ellidokuz, Ender Berat“…In the estimates curve obtained with an error margin of 11% in the time series analysis, it was estimated that the 25(OH)D averages after the pandemic would be similar to those before the pandemic. …”
Publicado 2023
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1483por Stevens, Gregg A., Morris, Martin, Parker, Robin M. N., Fajardo, Francisco J., Brody, Erica R., McLean, Katie“…Firstly, the 20 most-clicked resources from each guide were categorized through open coding, to assess if certain information resource categories were more popular among guide users, allowing for inference of user needs. A time-series analysis was also conducted for two sites, using the Classical Seasonal Decomposition by Moving Averages method, to provide deeper insights into the data. …”
Publicado 2023
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1484“…A step towards a systems-level understanding of the GI microbiota is characterization of biotic interactions. Community time series analysis, an approach based on statistical analysis of changing population abundances within a single system over time, is needed in order to say with confidence that one population is affecting the dynamics of another. …”
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1485“…The learning system deduced the sentiment labels for 184,214 tweets in the collected unannotated tweets corpus. Time series analysis identified a coincidence between mainstream outcome and Twitter contents. …”
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1486por Kling, Catherine E, Perkins, James D, Carithers, Robert L, Donovan, Dennis M, Sibulesky, Lena“…Transplants for ALD, increased from 12.8% (553) in 2002 to 16.5% (1020) in 2015. Time series analysis indicated a significant increase in the number of transplants per year for ALD in 2013 (P = 0.03). …”
Publicado 2017
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1487“…The inclusion of a counterfactual improves causal inference for approaches based on time series analysis, but the selection of a suitable counterfactual or control area can be problematic. …”
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1488“…A subgroup analysis was conducted in accordance to the number of drug orders, the age group of patients, the seniority of physicians, the specialty of physicians, the working day when prescriptions were issued, and the prescribing workload of physicians. A time-series analysis was employed to analyze the trend of prescribing workload and error rate, and the correlation between them. …”
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1489por Slama, Alessandro, Śliwczyński, Andrzej, Woźnica-Pyzikiewicz, Jolanta, Zdrolik, Maciej, Wiśnicki, Bartłomiej, Kubajek, Jakub, Turżańska-Wieczorek, Olga, Studnicki, Marcin, Wierzba, Waldemar, Franek, Edward“…This study describes, using two different study designs (a case-crossover design and a time-series analysis), the association of air pollutants and respiratory disease hospitalizations. …”
Publicado 2020
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1490por Brkic, Faris F., Besser, Gerold, Janik, Stefan, Gadenstaetter, Anselm J., Parzefall, Thomas, Riss, Dominik, Liu, David T.“…Following reliability analysis using the intra-class correlation coefficient, the cosinor time series analysis was utilized to determine annual peaks in public-inquiries. …”
Publicado 2020
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1491por Fell, Matthew, Russell, Craig, Medina, Jibby, Gillgrass, Toby, Chummun, Shaheel, Cobb, Alistair R. M., Sandy, Jonathan, Wren, Yvonne, Wills, Andrew, Lewis, Sarah J.“…Second, we used a natural experiment design with interrupted time-series analysis to assess the impact of smoke-free legislation. …”
Publicado 2021
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1492por Jessup, Rebecca Leigh, Bramston, C, Beauchamp, A, Gust, A, Cvetanovska, N, Cao, Y, Haywood, C, Conilione, P, Tacey, Mark, Copnell, Beverley, Mehdi, H, Alnasralah, Dialla, Kirk, M, Zucchi, Emilliano, Campbell, D, Trezona, A, Haregu, T, Oldenburg, Brian, Stockman, K, Semciw, Adam Ivan“…SETTING: An interrupted time-series analysis evaluated changes in ED presentation rates; interviews investigated reasons for changes for frequent ED users in a culturally and linguistically diverse setting. …”
Publicado 2021
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1493por Odorizzi, Scott, Clark, Eric, Nemnom, Marie-Joe, Clow, Jennifer, Kwok, Edmund, Kozar, Joseph, Perry, Jeffrey J.“…METHODS: We conducted an interrupted time series analysis 3 weeks before and after the removal of hot/cold zone care space cohorting in our ED. …”
Publicado 2022
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1494por Yamaguchi, Ryo, Yamamoto, Takehito, Okamoto, Koh, Tatsuno, Keita, Ikeda, Mahoko, Tanaka, Takehiro, Wakabayashi, Yoshitaka, Sato, Tomoaki, Okugawa, Shu, Moriya, Kyoji, Suzuki, Hiroshi“…There were no significant differences in hospital mortality, 30-day mortality, and length of stay between the two periods. Interrupted time series analysis showed significant reductions in the trends of DDD (trend change, –0.65; 95% CI, –1.20 to –0.11) and DOT (trend change, –0.74; 95% CI, –1.33 to –0.15) between the pre-PAF and post-PAF periods. …”
Publicado 2022
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1495“…The keywords on suicide, COVID-19, unemployment, and depression were collected in 2019 and 2020 using the Baidu Search Index (BSI). A time-series analysis examined the dynamic correlations between BSI-COVID-19 and BSI-suicide. …”
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1496“…Drug consumption was expressed as defined daily doses (DDDs) and expenditure. Time series analysis was adopted to find trends in consumption, while interrupted time series was used in analyzing the impact of policy on consumption. …”
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1497por Greenwald, Andrew S., Hauw-Berlemont, Caroline, Shan, Mingxu, Wang, Shuang, Yip, Natalie, Kurlansky, Paul, Argenziano, Michael, Bennett, Bridgette, Langone, Danielle, Moitra, Vivek“…The interrupted time series analysis demonstrated a significant level of change for ventilation time from P0 to P2 for both CABG (p < 0.0001) and valve patients (p < 0.0001). …”
Publicado 2022
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1498“…The difference in MMSE values for one year was not statistically significant. The time series analysis revealed a significant increase in the CDR and CDR-SB scores by approximately 0.47 (p=0.005) and 2.39 (p=0.002), before and after November 1, 2019, respectively. …”
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1499“…The temporal associations between the number of daily outpatient visits and the daily number of newly confirmed cases were examined by time-series analysis within each diagnosis category. RESULTS: Total daily outpatient visit rate was significantly reduced during the pandemic. …”
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1500por Aschwanden, Markus“…The mathematical techniques, including the statistics of random processes, time series analysis, time scale and waiting time distributions, are presented and the results are applied to specific observations of astrophysical phenomena.…”
Publicado 2011
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