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Trend and cost analysis comparing laparoscopic versus open liver resections at a Tertiary Referral hospital in Australia. [PDF]
Kariyawasam K +3 more
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Real-world pharmacological treatment of patients with hyperemesis gravidarum in 9 cities of China from 2019 to 2024: a cross-sectional analysis. [PDF]
Pan J, Wang J, Wang X, Zeng T.
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Geospatial mapping and 7-year temporal trends of electromagnetic field bands in Cyprus. [PDF]
Kiouvrekis Y +3 more
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Performance of 3 large language models in detecting urinary formed elements. [PDF]
Zeng X, Li S.
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Trends in drug use and prescription patterns for Crohn's disease patients in China, 2018-2022. [PDF]
Wang L, Zhou L, Zhu Y, Zhao M, Wu F.
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Multiple Şen-innovative trend analyses and partial Mann-Kendall test
Journal of Hydrology, 2018Abstract The climate change is an important event that affects hydrological, agricultural and water resources planning variables, and therefore, the hydrologists and meteorologists frequently try to identify trend possibilities especially in rainfall, runoff and temperature time series.
Yavuz Selim Güçlü
exaly +3 more sources
Improved visualization for trend analysis by comparing with classical Mann-Kendall test and ITA
Journal of Hydrology, 2020Abstract This study compares classical Mann-Kendall (MK) test and simple Sen-innovative trend analysis (ITA) method by proposing a new trend analysis methodology with a special graphical representation. Another attempt is to classify sub-categories as “low” and “high” objectively by means of the Pettit change point test. The applications are based on
Yavuz Selim Güçlü
exaly +3 more sources
Hydrological Sciences Journal, 2023
The Mann-Kendall (MK) test is frequently used for trend detection in hydrological time series although its power has not been systematically studied under the influence of both missing data and aggregation of data (daily, monthly averages). We used Monte
Matthew J Deitch +2 more
exaly +2 more sources
The Mann-Kendall (MK) test is frequently used for trend detection in hydrological time series although its power has not been systematically studied under the influence of both missing data and aggregation of data (daily, monthly averages). We used Monte
Matthew J Deitch +2 more
exaly +2 more sources

