Results 1 to 10 of about 25 (25)
Designing experiments informed by observational studies
Journal of Causal Inference, 2021 The increasing availability of passively observed data has yielded a growing interest in “data fusion” methods, which involve merging data from observational and experimental sources to draw causal conclusions.
Rosenman Evan T. R., Owen Art B.
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Laplace-Stieltjes transform of the system mean lifetime via geometric process model
Open Mathematics, 2016 Operation principle of the engineering systems occupies an important role in the reliability theory. In most of the studies, the reliability function of the system is obtained analytically according to the structure of the system.
Gökdere Gökhan, Gürcan Mehmet
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Elección de la constante de ponderación en diseños óptimos compuestos: Diseños CD-óptimos
Ingeniería y Ciencia, 2013 Se proponen dos metodologías alternativas para la elección de la constante de ponderación en diseños cD-óptimos. Las metodologías están basadas en el cálculo de la potencia de las pruebas de hipótesis asociadas tanto a la significancia de los parámetros ...
César Flórez-Restrepo +1 more
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On the block structure of PBIB designs
International Journal of Mathematics and Mathematical Sciences, Volume 3, Issue 1, Page 169-175, 1980., 1979 Let denote the set having any treatment θ and its n1 first associates in a PBIB design with m(≥2) associate classes. A theorem on distribution of the elements of this set among the blocks of the block design is proved and results related to certain well known association schemes of three associate classes are obtained.
M. L. Chandak
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Metodología para incrementar el número de puntos experimentales en un diseño D-Óptimo
Ingeniería y Ciencia, 2014 La finalidad de los diseños óptimos es determinar las condiciones experimentales adecuadas de tal forma que se pueda garantizar inferencias estadísticas lo más precisas posibles en términos de mínima varianza.
Sindi Argumedo Galván +1 more
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Computational and Mathematical BiophysicsThe emergence and dynamic prevalence of genetic disorders and infectious diseases with mutations pose significant challenges for public health interventions.
Baranon Mouhamadou Djima +3 more
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Double machine learning and design in batch adaptive experiments
Journal of Causal InferenceWe consider an experiment with at least two stages or batches and O(N)O\left(N) subjects per batch. First, we propose a semiparametric treatment effect estimator that efficiently pools information across the batches, and we show that it asymptotically ...
Li Harrison H., Owen Art B.
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Optimal allocation of sample size for randomization-based inference from 2K factorial designs
Journal of Causal InferenceOptimizing the allocation of units into treatment groups can help researchers improve the precision of causal estimators and decrease costs when running factorial experiments.
Ravichandran Arun +3 more
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A comparative study of computation approaches of the generalized F-test. [PDF]
J Appl Stat, 2021 Yazici B, Cavus M.
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Efficient experimental design for dose response modelling. [PDF]
J Appl Stat, 2021 O'Brien TE, Silcox J.
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