Colson KE, Rudolph K, Zimmerman SC, Goin DE, Stuart EA, van der Laan M, Ahern J. Optimizing matching and analysis combinations for estimating causal effects.
The performance of Turkstra's combination rule for estimating the mean extremes of nonlinearly combined correlated responses is evaluated.
In conclusion, in combination, multiple methods for estimating incidence in Kenya and Uganda appeared to converge in similar trend and levels, yet on an individual basis, each of the approaches have their limitations.
For multiple targets, the combination of estimated DOD and DOA yields to a pairing ambiguity.
A combination of switching algorithms for estimating chl-a were derived from coincident in situ chl-a and MERIS bottom-of-Rayleigh reflectance measurements.
This paper reports the experimental membrane partitioning of IL cations (imidazolium, pyridinium, pyrrolidinium, phosphonium), anions ([C CN 3]−, [B CN 4]−, [FSO2 2N]−, [(C2F5 3PF3]−, [(CF3SO2 2N]−) and their combinations as a measure for estimating the bioconcentration factor (BCF).
This study re-evaluates the performance of some approximate combination rules used in practice for estimating the mean extremes of linearly combined correlated wind load effects.
Several approximate combination formulas are currently in use for estimating the extreme values of linear combination of load effects.
In summary, our work demonstrates that the network target-based methods are of importance for estimating synergistic combinations and facilitating the combinational drug development.
The paper investigates the application of the peaks-over-threshold (POT) method in combination with the bootstrapping method for estimating extreme values, in particular, long return period characteristic values of environmental loads, e.g. wind loads, on the basis of observed data.
In conclusion, our proposed Bayesian fractional additivity model provides an efficient approach for estimating effects of combination treatments in clinical trials.
