Zobrazeno 1 - 10
of 3 259
pro vyhledávání: '"Segmented regression"'
Publikováno v:
Journal of Epidemiology and Global Health, Vol 14, Iss 3, Pp 1202-1218 (2024)
Abstract Purpose Previous research shows conflicting views on the relationship between obesity and osteoporosis, partly due to variations in obesity classification and the nonlinear nature of these relationships. This study investigated the associati
Externí odkaz:
https://doaj.org/article/358cd3ed48a7474ebb0aa912d5a72fcf
Autor:
Anders, Denis
In diesem Beitrag wird exemplarisch anhand des Verschmutzungsmechanismus von Wärmetauschern (Fouling) gezeigt wie datengetriebene Methoden zur Vorhersage des Verschmutzungsgrades und somit zu einem effizienteren Anlagenbetrieb genutzt werden können
Externí odkaz:
https://monarch.qucosa.de/id/qucosa%3A91735
https://monarch.qucosa.de/api/qucosa%3A91735/attachment/ATT-0/
https://monarch.qucosa.de/api/qucosa%3A91735/attachment/ATT-0/
Autor:
Yuanjin Zhang, Yan Ren, Yunxiang Huang, Minghong Yao, Yulong Jia, Yuning Wang, Fan Mei, Kang Zou, Jing Tan, Xin Sun
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Introduction Interrupted time series (ITS) design is a commonly used method for evaluating large-scale interventions in clinical practice or public health. However, improperly using this method can lead to biased results. Objective To invest
Externí odkaz:
https://doaj.org/article/41b1df9250904924a54c23cc00a85153
Autor:
Chongqi Hao, Zhiyang Zhao, Peijun Zhang, Bin Wu, Hao Ren, Xuchun Wang, Yuchao Qiao, Yu Cui, Lixia Qiu
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundThe Centre for Disease Control and Prevention in Yangquan, China, has taken a series of preventive and control measures in response to the increasing trend of Kala-Azar. In response, we propose a new model to more scientifically evaluate th
Externí odkaz:
https://doaj.org/article/2de2786f10d24768a8b0e56a43982cc7
Autor:
Amanda Wei-Yin Lim, Chin Tho Leong, Mohamad Aziz Salowi, Yvonne Mei Fong Lim, Wen Jun Wong, Wen Yea Hwong
Publikováno v:
Public Health in Practice, Vol 7, Iss , Pp 100469- (2024)
Background: Elective surgeries were suspended during the national lockdown in March 2020 to curb the spread of the COVID-19 pandemic in Malaysia. We sought to evaluate the impact of the lockdown on cataract surgeries and suggest lessons for future ou
Externí odkaz:
https://doaj.org/article/bc8dd2b955d24320a34aed9d1a318585
Autor:
Elizabeth Korevaar, Simon L. Turner, Andrew B. Forbes, Amalia Karahalios, Monica Taljaard, Joanne E. McKenzie
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-21 (2024)
Abstract Background The Interrupted Time Series (ITS) is a robust design for evaluating public health and policy interventions or exposures when randomisation may be infeasible. Several statistical methods are available for the analysis and meta-anal
Externí odkaz:
https://doaj.org/article/e67a5e70f54143baa4003b34e0bcb2b9
Publikováno v:
Pan-African Journal of Health and Environmental Science, Vol 2, Iss 2, Pp 143-154 (2023)
Background: Public health interventions may affect a variety of health outcomes. This study developed an Interrupted Time Series model to test its efficacy in evaluating public health interventions. The developed model can be used to forecast future
Externí odkaz:
https://doaj.org/article/6fefaf2f04114174ae21da86c7e4b84a
Autor:
Xiangliang Zhang, Kunpeng Wu, Yan Pan, Wenfang Zhong, Yixiang Zhou, Tingting Guo, Rong Yin, Wen Chen
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract The interrupted time series (ITS) design is widely used to examine the effects of large-scale public health interventions and has the highest level of evidence validity. However, there is a notable gap regarding methods that account for lag
Externí odkaz:
https://doaj.org/article/d20f79f2015b434e84ea0ae3c9ddb77f
Publikováno v:
Therapeutics and Clinical Risk Management, Vol Volume 19, Pp 745-753 (2023)
Heather D Anderson,1 Vanessa Paul Patterson,1 Garth Wright,1 Julia E Rawlings,1 Gina D Moore,1 Jim Leonard,2 Robert L Page II1 1Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Anschutz Me
Externí odkaz:
https://doaj.org/article/f27f86c8ecf1410fa7198c68436279f5
Publikováno v:
Global Health Research and Policy, Vol 8, Iss 1, Pp 1-13 (2023)
Abstract Background The interrupted time series (ITS) design is a widely used approach to examine the effects of interventions. However, the classic segmented regression (CSR) method, the most popular statistical technique for analyzing ITS data, may
Externí odkaz:
https://doaj.org/article/6c3d52d0e44c4f5c8b682ac574a7ad8e