Results 151 to 160 of about 13,575 (293)
Weighted Kaplan-Meier Tests for Umbrella Alternatives
Asymptotic relative efficiency, Monte Carlo study, umbrella alternative, weighted Kaplan-Meier statistic, weighted logrank statistic,
Wei-Chun Lee, Yuh-Ing Chen
core +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
Covariate adjustment in randomized clinical trials: From general theory to practical insights. [PDF]
Bannick MS, Yi Y, Ye T.
europepmc +1 more source
Testing whetherF is more IFR thanG
U-statistic, increasing failure rate, unbiasedness, asymptotic relative efficiency, robustness, strong mixing processes,
I. Ahmad, S. Kochar
core +1 more source
Schematic of the CO adsorption process in a fixed‐bed column containing pure NaY zeolite and Nb‐modified NaY (NaY–5%Nb). On the left, breakthrough curves and temperature profiles highlight the dynamic performance and thermal effects during CO adsorption.
Elson Oliveira +3 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
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
Divide and recombine approaches for fitting logistic regression to large-scale health surveillance data: application to diabetes risk prediction in BRFSS. [PDF]
Nayem MMH, Biswas SC.
europepmc +1 more source

