Results 11 to 20 of about 728 (114)
Identification of causal intervention effects under contagion
Journal of Causal Inference, 2021 Defining and identifying causal intervention effects for transmissible infectious disease outcomes is challenging because a treatment – such as a vaccine – given to one individual may affect the infection outcomes of others. Epidemiologists have proposed
Cai Xiaoxuan +2 more
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Evolutionary trend of SARS-CoV-2 inferred by the homopolymeric nucleotide repeats
Computational and Mathematical Biophysics, 2022 Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the current global COVID-19 pandemic, in which millions of lives have been lost.
Yin Changchuan
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Attributable fraction and related measures: Conceptual relations in the counterfactual framework
Journal of Causal Inference, 2023 The attributable fraction (population) has attracted much attention from a theoretical perspective and has been used extensively to assess the impact of potential health interventions. However, despite its extensive use, there is much confusion about its
Suzuki Etsuji, Yamamoto Eiji
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Computational and Mathematical Biophysics, 2023 It is now known that early government interventions in pandemic management helps in slowing down the pandemic in the initial phase, during which a conservative basic reproduction number can be maintained.
Sreevalsan-Nair Jaya +4 more
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Towards Prediction of HCV Therapy Efficiency
Computational and Mathematical Methods in Medicine, Volume 11, Issue 2, Page 185-199, 2010., 2010 We investigate a correlation between genetic diversity of hepatitis C virus population and the level of viral RNA accumulation in patient blood. Genetic diversity is defined as the mean Hamming distance between all pairs of virus RNA sequences representing the population. We have found that a low Hamming distance (i.e. low genetic diversity) correlates
Szymon Wasik +6 more
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Minimally capturing heterogeneous complier effect of endogenous treatment for any outcome variable
Journal of Causal Inference, 2023 When a binary treatment DD is possibly endogenous, a binary instrument δ\delta is often used to identify the “effect on compliers.” If covariates XX affect both DD and an outcome YY, XX should be controlled to identify the “XX-conditional complier ...
Lee Goeun +2 more
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Solving the 100 Swiss Francs Problem [PDF]
, 2011 Sturmfels offered 100 Swiss Francs in 2005 to a conjecture, which deals with a special case of the maximum likelihood estimation for a latent class model.
B. Buchberger +9 more
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Inferences for Joint Modelling of Repeated Ordinal Scores and Time to Event Data
Computational and Mathematical Methods in Medicine, Volume 11, Issue 3, Page 281-295, 2010., 2010 In clinical trials and other follow‐up studies, it is natural that a response variable is repeatedly measured during follow‐up and the occurrence of some key event is also monitored. There has been a considerable study on the joint modelling these measures together with information on covariates.
Arindom Chakraborty, Kalyan Das
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Optimal balancing of time-dependent confounders for marginal structural models
Journal of Causal Inference, 2021 Marginal structural models (MSMs) can be used to estimate the causal effect of a potentially time-varying treatment in the presence of time-dependent confounding via weighted regression.
Kallus Nathan, Santacatterina Michele
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Computational and Mathematical Methods in Medicine, Volume 11, Issue 4, Page 313-339, 2010., 2010 In this paper, we study a deterministic method for particle transport in biological tissues. The method is specifically developed for dose calculations in cancer therapy and for radiological imaging. Generalized Fokker–Planck (GFP) theory [Leakeas and Larsen, Nucl. Sci. Eng. 137 (2001), pp.
Edgar Olbrant, Martin Frank
wiley +1 more source