Results 11 to 20 of about 714 (114)
Improved binomial charts for monitoring high-quality processes [PDF]
, 2009 For processes concerning attribute data with (very) small failure rate p, often negative binomial control charts are used. The decision whether to stop or continue is made each time r failures have occurred, for some r≥1.
Albers, Willem
core +12 more sources
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
doaj +1 more source
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
wiley +1 more source
Sequence alignment generation using intermediate sequence search for homology modeling
Computational and Structural Biotechnology Journal, 2020 Protein tertiary structure is important information in various areas of biological research, however, the experimental cost associated with structure determination is high, and computational prediction methods have been developed to facilitate a more ...
Shuichiro Makigaki, Takashi Ishida
doaj +1 more source
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
doaj +1 more source
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
wiley +1 more source
Optimal weighting for estimating generalized average treatment effects
Journal of Causal Inference, 2022 In causal inference, a variety of causal effect estimands have been studied, including the sample, uncensored, target, conditional, optimal subpopulation, and optimal weighted average treatment effects.
Kallus Nathan, Santacatterina Michele
doaj +1 more source
InPrime, 2022 In 2022, the COVID-19 virus is still making headlines in various mass media because it is a virus that is very dangerous to health. The world health organization, WHO, explained that the virus caused a global pandemic that infected the whole world.
Asti Meiza +3 more
doaj +1 more source
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
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
core +2 more sources