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Shen et al. [ 25] had proposed two stage methods to detect gene-gene interactions.
Strengths of the study include the breadth of sampling across the city and two stage methods.
The size of the training populations used to estimate genetic effects in two stage methods will also increase as more data are collected.
The details about the algorithm for searching the best branch assignment for a specific topology are in Appendix 2. All of the two stage methods we considered selects a topology first and assign branch lengths conditional on that topology.
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Next, a two stage method is proposed to optimize the two matrices to improve the DOA estimation performance.
We notice also that the convergence rate of the proposed two stage method with beam selection is better than the convergence of BSS-l1.
For multiple different and desired paths to be traced by a point on the coupler, a two stage method first determines the parameters of the possible driving dyads.
Thus the two stage method of estimation was used, with the first stage being a logit regression to purge the hospital dummy and the second stage being a Poisson regression with predicted values of the hospital dummy.
When all trials are combined there is a modest estimated 13% reduction by both the two stage method (RR=0.87, 95% CI 0.68 1.11) and the simultaneous estimation method (RR=0.87, 95% CI 0.68 1.10), with P=0.2 in both cases.
Note that if we required the same limitation on the variance with the standard Poisson τ-leap method we could only take z ∈ (− 2 3, 0 ]. Thus with the two stage method we can take a stepsize almost six times as large. Implicit midpoint rule For the implicit midpoint rule (25) 1 2 1 2 1 R (z ) = 1 + 1 2 z 1 − 1 2 z and ψ (z ) = 1, ∀ z.
The four stage method used to determine parameter values is described in detail in [21] so we only provide a brief outline below.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com