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Análisis de series de tiempo
17
Métodos estadísticos
5
Análisis de series cronológicas
3
Modelos matemáticos
3
Ciencias sociales
2
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2701“…METHODS: This study used inpatient medical costs per case, the proportion of the out-of-pocket (OOP) expenditure in inpatient medical costs, and the average length of stay (LOS) of inpatient care as outcome variables, and conducted an interrupted time series analysis to evaluate changes after the DIP payment reform. …”
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2702“…Parents completed questionnaires at approximately 5, 21, 36, 48 and 60 months post-placement. We used time series analysis to examine the impact of child (e.g. pre-placement experiences, mental health), family structure (e.g. number of siblings, parent relationship status), and parent (e.g. mental health) factors on change in household income and parent employment status after adoption. …”
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2703por Burke, Rachael M, Nliwasa, Marriott, Dodd, Peter J, Feasey, Helena R A, Khundi, McEwen, Choko, Augustine, Nzawa-Soko, Rebecca, Mpunga, James, Webb, Emily L, Fielding, Katherine, MacPherson, Peter, Corbett, Elizabeth L“…We used interrupted time series analysis to compare tuberculosis CNRs before ACF and after ACF, and between ACF and non-ACF areas. …”
Publicado 2023
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2704por Mussina, Kamilla, Kadyrov, Shirali, Kashkynbayev, Ardak, Yerdessov, Sauran, Zhakhina, Gulnur, Sakko, Yesbolat, Zollanvari, Amin, Gaipov, Abduzhappar“…Thus, in this study, we aimed to forecast the prevalence of HIV in Kazakhstan for 10 years from 2020 to 2030 by using mathematical modeling and time series analysis. METHODS: We use statistical Autoregressive Integrated Moving Average (ARIMA) models and a nonlinear epidemic Susceptible-Infected (SI) model to forecast the HIV infection prevalence rate in Kazakhstan. …”
Publicado 2023
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2705“…Secondary data were used to assess the quality of moderate acute malnutrition (MAM), deworming and rotavirus vaccine indicators based on the data’s completeness, presence of outliers and consistency, and seasonality analysis in the form of time series analysis was performed. SETTING: We used monthly district-level count data from 2017 to 2021, from all health facilities, from the Mozambican health information system (Sistema de Informação de Saúde para Monitoria e Avaliação, or District Health Information System version 2). …”
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2706“…In this study, we examine the demographic heterogeneity and time variation of the vaccine effect on disease propagation based on the Bayesian structural time series analysis. Furthermore, we explore the role of non-pharmaceutical interventions (NPIs) and the entrance of the Delta variant of COVID-19 in the vaccine effect for U.S. counties. …”
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2707por Mueller, Natalie, Anderle, Rodrigo, Brachowicz, Nicolai, Graziadei, Helton, Lloyd, Simon J., de Sampaio Morais, Gabriel, Sironi, Alberto Pietro, Gibert, Karina, Tonne, Cathryn, Nieuwenhuijsen, Mark, Rasella, Davide“…Results: Seven relevant models for health impacts forecasting were identified, consisting of (i) comparative risk assessment (CRA), (ii) time series analysis (TSA), (iii) compartmental models (CMs), (iv) structural models (SMs), (v) agent-based models (ABMs), (vi) microsimulations (MS), and (vii) artificial intelligence (AI)/machine learning (ML). …”
Publicado 2023
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2708por Tong, Ran, Ding, Xianfei, Liu, Fengyu, Li, Hongyi, Liu, Huan, Song, Heng, Wang, Yuze, Zhang, Xiaojuan, Liu, Shaohua, Sun, Tongwen“…Then, key dysregulated genes were revealed by short time-series analysis and the least absolute shrinkage and selection operator model. …”
Publicado 2023
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2709por Yoo, Jin Sae, Park, Jeong Yong, Chun, Ha-Jin, Kim, Young Rong, Kim, Eun Jin, Choi, Young Hwa, Ha, Kyoung Hwa, Heo, Jung Yeon“…Patients prescribed carbapenems for ≥ 2 weeks received intervention. Interrupted time-series analysis was performed to compare antimicrobial consumption before and after intervention. …”
Publicado 2023
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2710“…Here, we investigate the effectiveness of each data modality separately, then alongside with others, using state-of-the-art machine learning approaches in time-series analysis and natural language processing. Using our evaluation process, we are able to determine the contribution of each data modality, and for the first time in the context of readmission, establish a hierarchy of their predictive value. …”
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2711por Koua, Etien Luc, Njingang, Jobert Richie Nansseu, Kimenyi, Jean Paul, Williams, George Sie, Okeibunor, Joseph, Oka, Sakuya, Gueye, Abdou Salam“…A suite of exploratory data analysis methods combining time series analysis, summary statistics, temporal visualisations, geographic information system (GIS) mapping, trend analysis and statistical tests were used to derive patterns and trends from the data. …”
Publicado 2023
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2712“…METHODS: We conducted an interrupted time series analysis among working-age persons accumulating at least 30, 60 and 90 sickness allowance days and starting their SA during a time span covering three years before the reform and two years after the reform. …”
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2713por Wamba Tchinda, Claudin, Tchakoutio Sandjon, Alain, Djiotang Tchotchou, Angennes Lucie, Nzeudeu Siwe, Audryck, Vondou, Derbetini A., Nzeukou, Armand“…ISO indices are defined using the time series analysis of the first two principal components resulting from the empirical orthogonal function, applied to daily filtered outgoing longwave radiation. …”
Publicado 2023
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2714por Van De Sijpe, Greet, Hublou, Wencke, Declercq, Peter, Metsemakers, Willem-Jan, Sermon, An, Casteels, Minne, Foulon, Veerle, Quintens, Charlotte, Spriet, Isabel“…METHODS: The proportion of residual PIPs per day, i.e. the number of PIPs that persisted up to 24 h after pharmacist intervention divided by the number of PIPs at T0, was evaluated before and after implementation of the intervention in an interrupted time series analysis. The pre-intervention cohort received usual pharmacy services, i.e. a 0.3 FTE clinical pharmacist trainee. …”
Publicado 2023
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2715por Furlan, Tjaša, Bijec, Janez, Bonča, Petra Došenović, Ograjenšek, Irena, Jug, Borut“…Using interrupted time series analysis, we assessed the impact of the COVID-19 pandemic on hospital admission rates and quality of care (in-hospital and 30-day mortality, reperfusion and secondary preventive medication uptake). …”
Publicado 2023
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2716“…The study used interrupted time series analysis to examine changes in length of stay and medical costs before and after the reform, and also assessed changes in different subgroups. …”
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2717“…Segmented regression in interrupted time-series analysis (ITSA) was performed before the pandemic (2018/04-2020/03), after the pandemic (2020/04-2022/03), and after the intervention (2022/04-2023/03). …”
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2718“…For females 0–14 years of age, there was 1-day delayed effect of NO(2) (RR = 1.19, case-crossover method), a current-day SO(2) (RR = 1.11, time series), and current-day and 1- and 2-day delayed effects for CO by case crossover (RR = 1.15, 1.19, 1.22, respectively). Time-series analysis showed that 1-day delayed effect of PM(10) on respiratory admissions of adult males (15–64 years of age), with an RR of 1.18. …”
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2719“…One such question is: does season have an effect on the occurrence of colic? Time-series analysis provides a rigorous statistical approach to this question but until now, to our knowledge, it has not been used in this context. …”
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2720por Gaudart, Jean, Poudiougou, Belco, Dicko, Alassane, Ranque, Stéphane, Toure, Ousmane, Sagara, Issaka, Diallo, Mouctar, Diawara, Sory, Ouattara, Amed, Diakite, Mahamadou, Doumbo, Ogobara K“…We used the computed parasitological data to analyzed levels of Plasmodium falciparum, P. malariae and P. ovale infection and P. falciparum gametocyte carriage by means of time series and Kulldorff's scan statistic for space-time cluster detection. RESULTS: The time series analysis determined that malaria parasitemia (primarily P. falciparum) was persistently present throughout the population with the expected seasonal variability pattern and a downward temporal trend. …”
Publicado 2006
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