The Experts below are selected from a list of 1625790 Experts worldwide ranked by ideXlab platform
Xinhua Tang - One of the best experts on this subject based on the ideXlab platform.
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Prevalence, Awareness, Treatment, Control and Risk Factors Associated with Hypertension among Adults in Southern China, 2013.
PloS one, 2016Co-Authors: Li Yang, Jing Yan, Xinhua TangAbstract:To investigate the prevalence, awareness, Treatment, Control of hypertension and their associated factors in southern China. A cross-sectional survey was conducted in 5 cities of urban areas and 5 counties of rural areas in Southern China in 2013, a stratified multistage random sampling method was used to select a representative sample. Recruitment included a total of 19254 participants aged 15 or older. Socio-demographic profiles, examinations were administrated on each subject. Multilevel logistic regression models were used to identify the risk factors of hypertension, awareness, Treatment, and Control. Overall, the prevalence of hypertension and pre-hypertension are 24.59% and 32.11%, respectively in southern China. Among all the hypertensive patients, 67.43% were aware of their condition, 55.76% took anti-hypertension medication recent two weeks, and 30.79% had their blood pressure Controlled. Compared with male, female hypertensive patients had higher rates of hypertension awareness, Treatment and Control. Age, gender, marital status, living areas, education, BMI, waist circumference, visceral adipose index (VAI), high body fat percentage (BFP) and family hypertension history correlated with the prevalence of hypertension. SBP/DBP increased with VAI and BFP increasing. There is an increasing prevalence of hypertension and high pre-hypertension in the general population in southern China, but levels of awareness, Treatment, and Control remain relatively low, especially for young and middle-aged population. Innovative strategies including of adopting appropriate anti-hypertensive medication therapy and healthy lifestyles should be taken.
Mohan D Gupte - One of the best experts on this subject based on the ideXlab platform.
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Prevalence, awareness, Treatment, Control and risk factors for hypertension in a rural population in South India.
International journal of public health, 2011Co-Authors: Prabhdeep Kaur, Sudha Ramachandra Rao, Ezhil Radhakrishnan, Daniel Rajasekar, Mohan D GupteAbstract:Objectives Hypertension is a major public health problem with prevalence ranging 22–30% in urban India. There are few data on hypertension epidemiology in rural India. We conducted a survey to estimate prevalence, awareness, Treatment, Control and risk factors for hypertension in a rural population in south India.
Berlian Sitorus - One of the best experts on this subject based on the ideXlab platform.
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Formal Design and Analysis of a Wastewater Treatment Control System Based on Petri Net
ITB Journal of Engineering Science, 2012Co-Authors: Seno D. Panjaitan, Berlian SitorusAbstract:This paper proposes a new Control design approach for industrial wastewater Treatment XE "wastewater Treatment" where its logic Control is verifiable. In this research, a Treatment Control design in a lab-scale was Controlled by a microController circuit. The developed system combined anaerobic XE "anaerobic" digestion, aeration XE "aeration" and filtration process. Its logic Control algorithm was designed by using Signal Interpreted Petri Net. In the logic verification, six analysis properties were satisfied: conflict free (logical process had no conflict behavior), termination (the process could be terminated from any state), non-contradictory outputs, live (any process state could always be reached from other state), deadlock-free, and reversible (the process could always back to initial condition). In the design evaluation, the average value of transparency metrics was 0.984 close to 1 as the best value. The system performance was evaluated by pollutant removal efficiency. The highest removal efficiencies were obtained when each anaerobic and aeration Treatment were performed for three days respectively and followed by filtration. Within this condition, the system obtained average removal efficiency 91.7% of Chemical Oxygen Demand and 95.4% of Total Suspended Solids. In terms of electricity consumption, the system needed only 1,857.6 Watt-hour for a batch Treatment process.
Martin C.s. Wong - One of the best experts on this subject based on the ideXlab platform.
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Hypertension prevalence, awareness, Treatment, Control, and associated factors in adults in southern China.
American journal of hypertension, 2012Co-Authors: Wen J., Jin L. Tang, Yong H. Zhang, Jin Y. Lin, Xiang Qian Lao, Wilson W.s. Tam, Martin C.s. WongAbstract:Background Hypertension is the most important risk factor for cardiovascular diseases. Little information exists on the status of hypertension among southern Chinese. We therefore investigated the hypertension prevalence, awareness, Treatment, Control, and associated factors in a southern Chinese population with 85 million residents. Methods Stratified multistage cluster sampling with probability proportional to size method was used in this survey. A representative sample of 13,889 residents aged 20 years or above with completed questionnaire and blood pressure (BP) measurement was obtained. BP was measured in accordance with the 1999 World Health Organization/International Society of Hypertension Guidelines. Information related to history of diagnosis and Treatment of hypertension was collected through questionnaire. Results The prevalence of hypertension in this population was 20.5% (16.5%, 24.4%), which translated to 9.8 million adults suffering from hypertension in Guangdong province. The urban population had higher prevalence of hypertension than the rural population (25.1 vs. 16.1%). The prevalence of awareness, Treatment, and Control of hypertension in hypertensive patients living in urban regions were 42.8, 37.9, and 13.5%, respectively, which were higher than those in rural regions (the corresponding figures were 17.6, 10.4, and 3.4%, respectively). Nearly 50% urban adults and 80% rural adults did not measure their BP in the last 12 months. Frequency of BP measurement was associated with both awareness and Treatment. Conclusions Hypertension was prevalent in southern China. The prevalence of awareness, Treatment, and Control of hypertension is low. Urgent strategies are needed to improve prevention, detection, and Treatment of hypertension in this large Chinese population.
Donald B Rubin - One of the best experts on this subject based on the ideXlab platform.
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asymptotic theory of rerandomization in Treatment Control experiments
Proceedings of the National Academy of Sciences of the United States of America, 2018Co-Authors: Xinran Li, Peng Ding, Donald B RubinAbstract:Although complete randomization ensures covariate balance on average, the chance of observing significant differences between Treatment and Control covariate distributions increases with many covariates. Rerandomization discards randomizations that do not satisfy a predetermined covariate balance criterion, generally resulting in better covariate balance and more precise estimates of causal effects. Previous theory has derived finite sample theory for rerandomization under the assumptions of equal Treatment group sizes, Gaussian covariate and outcome distributions, or additive causal effects, but not for the general sampling distribution of the difference-in-means estimator for the average causal effect. We develop asymptotic theory for rerandomization without these assumptions, which reveals a non-Gaussian asymptotic distribution for this estimator, specifically a linear combination of a Gaussian random variable and truncated Gaussian random variables. This distribution follows because rerandomization affects only the projection of potential outcomes onto the covariate space but does not affect the corresponding orthogonal residuals. We demonstrate that, compared with complete randomization, rerandomization reduces the asymptotic quantile ranges of the difference-in-means estimator. Moreover, our work constructs accurate large-sample confidence intervals for the average causal effect.
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asymptotic theory of rerandomization in Treatment Control experiments
arXiv: Statistics Theory, 2016Co-Authors: Xinran Li, Peng Ding, Donald B RubinAbstract:Although complete randomization ensures covariate balance on average, the chance for observing significant differences between Treatment and Control covariate distributions increases with many covariates. Rerandomization discards randomizations that do not satisfy a predetermined covariate balance criterion, generally resulting in better covariate balance and more precise estimates of causal effects. Previous theory has derived finite sample theory for rerandomization under the assumptions of equal Treatment group sizes, Gaussian covariate and outcome distributions, or additive causal effects, but not for the general sampling distribution of the difference-in-means estimator for the average causal effect. To supplement existing results, we develop asymptotic theory for rerandomization without these assumptions, which reveals a non-Gaussian asymptotic distribution for this estimator, specifically a linear combination of a Gaussian random variable and a truncated Gaussian random variable. This distribution follows because rerandomization affects only the projection of potential outcomes onto the covariate space but does not affect the corresponding orthogonal residuals. We also demonstrate that, compared to complete randomization, rerandomization reduces the asymptotic sampling variances and quantile ranges of the difference-in-means estimator. Moreover, our work allows the construction of accurate large-sample confidence intervals for the average causal effect, thereby revealing further advantages of rerandomization over complete randomization.
