“…Identifying, from time series analysis, reliable indicators of causal relationships is essential for many disciplines. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We studied globally representative data to quantify how daily fine particulate matter (PM(2.5)) concentrations influence both daily stock market returns and volatility. Time-series analysis was applied on 47 city-level environmental and economic datasets and meta-analysis of the city-specific estimates was used to generate a global summary effect estimate. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The main results were as follows: (a) A significant effect of SNR was revealed for all pupil measures extracted in the time domain (PPD, MPD, GCA, PCA); (b) Two time series analysis approaches (GCA, PCA) provided modeled temporal profiles of TEPRs (GCA); and time windows spanning subtasks performed in a speech-in-noise test (PCA); and (c) All pupil measures revealed a significant effect of luminance. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We performed a cross-correlation analysis using Pearson’s correlation, time-series analysis to explore actual correlations after removing any dubious correlations due to underlying non-stationarity in both data sets. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…With performance assessed by the area under the receiver operating characteristic curve (AUC), time series analysis and spatial cross-test were conducted. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…MATERIAL AND METHODS: Global time trends were obtained for Yoga, Anxiety, and Depression from November 1, 2019 to May 31, 2020 using GT. The time series analysis was done in three different time periods – pre-COVID-19 phase, transition period, and COVID-19 pandemic phase. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Measured meteorological time series are frequently used to obtain information about climate dynamics. We use time series analysis and nonlinear system identification methods in order to assess outdoor-environment bioclimatic conditions starting from the analysis of long historical meteorological data records. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In this study, we aimed to evaluate the impact of antibiotic usage and forecast the prevalence of hospital-acquired extended spectrum β-lactamase (ESBL)—producing Escherichia coli (E. coli) using time-series analysis. Antimicrobial culture information of E. coli was obtained using a text processing technique that helped extract free-text electronic health records from standardized data. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Secondly, we performed criticality analysis using two well-established complex systems’ time series analysis methods—the natural time (NT) analysis method, and the method of critical fluctuations (MCF). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…To pursue novel and satisfied host blood-derived biomarkers, we streamlined a bioinformatic pipeline by integrating differentially expressed genes, a gene co-expression network, and short time-series analysis to mine the published transcriptomes derived from whole blood of TB patients in the GEO database, followed by validating the diagnostic performance of biomarkers in both independent datasets and blood samples of Chinese patients using quantitative real-time PCR (qRT-PCR). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Researchers used the linear and exponential time series analysis, and further utilized multivariate techniques to explain the variance in the monthly increase in cases and deaths. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…DESIGN: We conducted time-series analysis to estimate the seasonal amplitude before and after adjusting for temperature and/or influenza-like illness (ILI). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We used interrupted time series analysis to examine changes during times of increased COVID-19 risk and related public health measures (March, April and July 2020). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We used directed content analysis to assess the qualitative data and an interrupted time series analysis to assess the quantitative data. We found evidence consistent with a risk signalling effect following the introduction of the SSB tax for sodas but not for juice drinks. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We did an interrupted time-series analysis to estimate changes in rates and trends of joint replacements (JR), arthroscopies, and fracture surgeries for knee or hip in April–December 2020 compared to pre-COVID-19 levels adjusting for seasonal variations. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…METHODS: Using 2009-2017 data from State Inpatient Dataset from New York, New Jersey, and Florida, we employed an interrupted time series analysis with multivariate generalized regression models controlling for patient, disease, and hospital characteristics. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We used interrupted time series analysis to quantify changes in monthly antibiotic dispensing and face‐to‐face and telehealth GP consultations and examined changes by recipient age, pharmacy State and prescriber specialty. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…METHODS: A retrospective interrupted time-series analysis of patient volumes was conducted for 35 orthopedic conditions based on ICD-10 diagnosis codes. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…To assess the impact of the medical reimbursement revision in 2014, we calculated the R (2), regression coefficients and 95% confidence interval (CI) using interrupted time series analysis. RESULTS: This study included 148,873 patients. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Out of the investigated fatal pneumonia cases, M. bovis was frequently detected (animal prevalence, 16.16%; 95%CI, 11.82–21.33; herd prevalence, 26.56; 95%CI, 16.29–39.08) either as the single agent of the disease in more than half of the positive samples (20/37) or in concurrent infections with Histophilus somni (9/37, 24.3%), Mannheimia haemolytica (6/37, 16.621%), Trueperella pyogenes (1/37, 2.70%), Pasteurella multocida (1/37, 2.70%), bovine respiratory syncytial virus (5/37, 13.51%), and bovine viral diarrhea virus (2/37, 5.55%). Based on time-series analysis, M. bovis was recorded in the area since 2009 with outbreaks displaying a clear morbidity seasonal pattern with peaks in April (43.21%) and in September (13.51%). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso