Results 171 to 180 of about 6,177,620 (296)
Covariate adjustment in randomized clinical trials: From general theory to practical insights. [PDF]
Bannick MS, Yi Y, Ye T.
europepmc +1 more source
Abstract The objective of this work is to demonstrate that the inclusion of an up‐flow anaerobic sludge bed (UASB reactor) within an industrial wastewater treatment plant reduces the plant's investment and operating costs compared to a system based solely on conventional complete‐mix activated sludge (CMAS), operating under the same design principles ...
Juan Manuel Morgan‐Sagastume +1 more
wiley +1 more source
Powering RCTs for Marginal Effects With GLMs Using Prognostic Score Adjustment. [PDF]
Højbjerre-Frandsen E +2 more
europepmc +1 more source
Conventional and RAFT dispersion copolymerizations of HEMA and EGDMA in supercritical CO2 are compared in terms of swelling index (crosslink density), morphology, particle size distribution, and modular differential scanning calorimetry. Abstract The syntheses of net‐poly((2‐hydroxyethylene methacrylate)‐co‐(ethylene glycol dimethacrylate ...
Patricia Pérez‐Salinas +6 more
wiley +1 more source
Cost-efficient filtration and replication strategies match or exceed detection sensitivity for marine eDNA diversity at an intertidal site under a standardized laboratory workflow. [PDF]
Schulte NO +6 more
europepmc +1 more source
Asymptotic properties of cross‐classified sampling designs
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source
Deep learning for the change-point Cox model with current status data. [PDF]
Huang Q, Feng A, Wu Q, Tong X.
europepmc +1 more source
Jackknife bias‐corrected variance estimation for the generalized regression estimator
Abstract Commonly used variance estimators for the generalized regression estimator (GREG) are based on Taylor linearization and jackknife. Traditionally, a jackknife GREG variance estimator is obtained by jackknifing GREG, which consists of computing GREG from each of several subsamples of the parent sample, and estimating the variance of the parent ...
Marius Stefan, J.N.K Rao
wiley +1 more source
Mediation with External Summary Statistic Information. [PDF]
Boss J +8 more
europepmc +1 more source
This paper is concerned with the asymptotic relative efficiency of the Gaussian and least squares estimators when employed to estimate the parameters of vector ARMA models presented in echelon canonical form.
Poskitt, D. S., Salau, M. O.
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