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COVID answers in Scientific Journals all over the world


19 Results       Page 1

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Wiley: Biometrics
  original article Date Title Authors   All Authors
1 [GO] 2025―Apr―28 Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach Luca Caldera, Chiara Masci, Andrea Cappozzo, Marco Forlani, Barbara Antonelli, Olivia Leoni, Francesca Ieva
2 [GO] 2025―Mar―12 Sparse Bernoulli mixture modeling with negative-unlabeled data: an approach to identify and characterize long COVID Tingyi Cao, Harrison T Reeder, Andrea S Foulkes
3 [GO] 2023―Aug―10 A proportional incidence rate model for aggregated data to study the vaccine effectiveness against COVID-19 hospital and ICU admissions Ping Yan, Muhammad Abu Shadeque Mullah, Ashleigh Tuite
4 [GO] 2023―Feb―16 Modelling Covid-19 contact-tracing using the ratio regression capture-recapture approach D. Böhning, R. Lerdsuwansri, P. Sangnawakij
5 [GO] 2022―Dec―23 Assessing COVID-19 and other pandemics and epidemics using computational modelling and data analysisSubhendu KumarPani, SujataDash, Wellington P.dos Santos, Syed Ahmad ChanBukhari, and FrancescoFlammini, Switzerland: Springer Nature Switzerland AG. 2022. https://doi.org/10.1007/978-3-030-79753-9 Yen-Chen Anne Feng
6 [GO] 2022―Dec―15 Age-related model for estimating the symptomatic and asymptomatic transmissibility of COVID-19 patients Jianbin Tan, Ye Shen, Yang Ge, Leonardo Martinez, Hui Huang
7 [GO] 2022―Dec―09 Correcting delayed reporting of covid-19 using the generalized-dirichlet-multinomial method Oliver Stoner, Alba Halliday, Theo Economou
8 [GO] 2022―Sep―30 Comparing COVID-19 incidences longitudinally per economic sector against the background of preventive measures and vaccination Florian Stijven, Johan Verbeeck, Geert Molenberghs
9 [GO] 2022―Aug―09 A novel penalized inverse-variance weighted estimator for mendelian randomization with applications to COVID-19 outcomes Siqi Xu, Peng Wang, Wing Kam Fung, Zhonghua Liu
10 [GO] 2022―Mar―31 Bayesian analysis of infectious diseases - COVID-19 and beyond, by Lyle BroemelingLyle D.BroemelingBoca Raton, FL: Chapman and Hall/CRC, 2021. pp. 330 Marie V. Ozanne
11 [GO] 2021―Oct―25 A linear mixed model to estimate COVID-19-induced excess mortality Johan Verbeeck, Christel Faes, Thomas Neyens, Niel Hens, Geert Verbeke, Patrick Deboosere, Geert Molenberghs
12 [GO] 2021―Jun―09 Discussion of “Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes” Min Zhang, Baqun Zhang
13 [GO] 2021―Jun―09 Discussion on “Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment for binary, ordinal, and time-to-event outcomes” Michael A. Proschan
14 [GO] 2021―Jun―09 Discussion on “Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes” by David Benkeser, Ivan Diaz, Alex Luedtke, Jodi Segal, Daniel Scharfstein, and Michael Rosenblum Lisa M. LaVange
15 [GO] 2021―Jun―03 Rejoinder: Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes David Benkeser, Iván Díaz, Alex Luedtke, Jodi Segal, Daniel Scharfstein, Michael Rosenblum
16 [GO] 2021―Mar―30 Inferring UK COVID-19 fatal infection trajectories from daily mortality data: were infections already in decline before the UK lockdowns? Simon N Wood
17 [GO] 2021―Feb―18 Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID-19 Ruoyu Wang, Qihua Wang
18 [GO] 2020―Sep―26 Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomes David Benkeser, Iván Díaz, Alex Luedtke, Jodi Segal, Daniel Scharfstein, Michael Rosenblum
19 [GO] 2020―Jul―06 Estimation of incubation period and generation time based on observed length-biased epidemic cohort with censoring for COVID-19 outbreak in China Yuhao Deng, Chong You, Yukun Liu, Jing Qin, Xiao-Hua Zhou
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19 Results       Page 1



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