Results 71 to 80 of about 166,649 (278)
Journal of Physics: Conference Series, 2011 9 pages, LaTeX2e (AMS-LaTeX); v2: minor ...
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Molecular Oncology, EarlyView.There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes +20 more
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Frontiers in Psychology, 2015 A number of statistical textbooks recommend using an analysis of covariance (ANCOVA) to control for the effects of extraneous factors that might influence the dependent measure of interest. However, it is not generally recognized that serious problems of
Bruce A Schneider +2 more
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Randomization Tests that Condition on Non-Categorical Covariate Balance
Journal of Causal Inference, 2019 A benefit of randomized experiments is that covariate distributions of treatment and control groups are balanced on average, resulting in simple unbiased estimators for treatment effects.
Branson Zach, Miratrix Luke W.
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Covariant quantum instruments [PDF]
Journal of Functional Analysis, 2009 Minor corrections in ...
Claudio Carmeli +3 more
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Inference after covariate-adaptive randomisation: aspects of methodology and theory
Statistical Theory and Related Fields, 2021 Covariate-adaptive randomisation has a more than 45 years of history of applications in clinical trials, in order to balance treatment assignments across prognostic factors that may have influence on the outcomes of interest.
Jun Shao
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Kernel-based covariate functional balancing for observational studies.
Biometrika, 2018 Covariate balance is often advocated for objective causal inference since it mimics randomization in observational data. Unlike methods that balance specific moments of covariates, our proposal attains uniform approximate balance for covariate functions ...
Raymond K. W. Wong, Kwun Chuen Gary Chan
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Covariance Hypotheses Which are Linear in Both the Covariance and the Inverse Covariance
The Annals of Statistics, 1988 both the covariance and the inverse covariance are products of models each of which consists of either (i) independent identically distributed random vectors which have a covariance with a real, complex or quaternion structure or (ii) independent identically distributed random vectors with a parametrization of the covariance which is given by means of ...
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Ambivalent covariance models [PDF]
BMC Bioinformatics, 2015 Evolutionary variations let us define a set of similar nucleic acid sequences as a family if these different molecules execute a common function. Capturing their sequence variation by using e. g. position specific scoring matrices significantly improves sensitivity of detection tools.
Janssen, Stefan, Giegerich, Robert
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Effect of neighborhood and plot size on experiments with multiple-harvest oleraceous crops
Pesquisa Agropecuária Brasileira, 2014 The objective of this work was to determine the efficiency of the Papadakis method on the quality evaluation of experiments with multiple-harvest oleraceous crops, and on the estimate of the covariate and the ideal plot size.
Daniel Santos +5 more
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