DATA analysisRESEARCH integrityQUALITY controlFUNCTION spacesThe article titled "Statistical Analysis of COVID-19 Data: Using A New Univariate and Bivariate Statistical Model" has been retracted by Hindawi, the publisher, due to evidence of systematic manipulation of the publicati...
The COVID-19 epidemic in the first quarter of 2020 brought about severe negative shocks to China's economy. This article uses the corresponding statistical data to analyze the impact of COVID-19 on China's economy from the perspective of production, demand, income and price. Due to COVID-...
The data was collected from 5,645 blood tests of patients in March and April 2020. Based on the use of the independent variables 'C-reactive protein,' 'neutrophils,' and 'monocytes,' as well as the age of the patient affected by COVID-19, it is possible to predict with a reasonable ...
covid-19 data-reduction data-science decision-making design diagnosis dichotomization drug-development drug-evaluation endpoints evidence forward-probability generalizability graphics hypothesis-testing inductive-reasoning inference judgment likelihood logic machine-learning measurement medical medical-literature medici...
To give an overview of the behaviour and scientific contributions of the Journal of Bone and Joint Surgery American (JBJS-A) and British Volume (JBJS-B). 4... LA Holzer,H Gerold - 《Acta Ortopedica Brasileira》 被引量: 2发表: 2013年 Analysis of the Types of Retracted COVID-19 Articles...
Based on the total number of COVID-19 patients and the number of COVID-19 patients in ICUs, we first estimate the parameters of the model (i.e., ICU rate, length of stay in ICU, and time lag between the positive testing and the ICU admission). We restrict here the data to the ...
With evidence-based measures, COVID-19 can be effectively controlled by advanced data analysis and prediction. However, while valuable insights are available, there is a shortage of robust and rigorous research on what factors shape COVID-19 transmissions at the city cluster level. Therefore, to ...
Background: Population-level vaccine efficacy is a critical component of understanding COVID-19 risk, informing public health policy, and mitigating disease impacts. Unlike individual-level clinical trials, population-level analysis characterizes how well vaccines worked in the face of real-world challeng...
A further analysis of Manning and Fink (2020) 2022, Early Human Development No credible evidence for links between 2D:4D and COVID-19 outcomes: A probabilistic perspective on digit ratio, ACE variants, and national case fatalities 2021, Early Human Development Citation Excerpt : Though this hypot...
COVID-19 has become a new global risk in a context that has already weaken the world economy. the COVID-19 outbreak comes on the top of a rather uncertain scenario of continued geopolitical, social and trade tensions, post-Brexit effects, and an uneven performance among major outbound travel...