Continuous covariates and the takeover method
Failure time regression with continuous informative auxiliary covariates
... true covariates are missing for most individuals, the existence of some surrogates or auxiliary measurements conveys information about X and serves as common proxy ...a continuous auxiliary covariate ...
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On the Role of Covariates in the Synthetic Control Method
... observed covariates on potential outcomes relative to the assumptions in Abadie et ...the covariates. 1 This may be the case even for covariates that are relevant in determining the potential ...for ...
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A comparison of methods to adjust for continuous covariates in the analysis of randomised trials
... the covariates be pre-specified [33, ...which covariates should be kept in the final model, and which covariates should be discarded (usu- ally based on a statistical significance ...all ...
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Maximum likelihood estimation of mark recapture recovery models in the presence of continuous covariates
... time-varying continuous covariates. For such covariates, the covariate value is un- observed if the corresponding individual is unobserved, in which case the survival probability cannot be ...For ...
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Parameterization of Continuous Covariates in the Poisson Capture-Recapture Log Linear Model for Closed Populations
... capture-recapture method is widely used by epidemiologists to estimate the size of hidden populations using incomplete and overlapping lists of ...treat continuous covariates in their original ...
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A Continuous Method for Gene Flow
... new method, transition probability-structured coalescence (TPSC), replaces the discrete migration events with probability ...this method allows calculating the coalescence densities ef fi ...
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A robust imputation method for missing responses and covariates in sample selection models
... Sample selection arises when the outcome of interest is partially observed in a study. Al- though sophisticated statistical methods in the parametric and non-parametric framework have been proposed to solve this problem, ...
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An approximation method for continuous pseudocontractive mappings
... PSEUDOCONTRACTIVE MAPPINGS YISHENG SONG AND RUDONG CHEN Received 20 March 2006; Revised 24 May 2006; Accepted 28 May 2006 Let K be a closed convex subset of a real Banach space E, T : K → K is continuous pseudo- ...
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A Improved Method of Discretization of Continuous Attributes
... of continuous attributes is one of the important steps in preprocessing of data ...new method of supervised discretization of continuous attributes based on entropy and hierarchical clustering ...
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Price and probability: decomposing the takeover effects of anti-takeover provisions
... The value of β can be bounded using the method in Lee (2009). The proposed bounds rely on the assumption of monotonicity of the effect of ATPs on the shareholder votes. We find no effect of those proposals on ...
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High-Dimensional Covariates
... Table 1: Number of TFs selected at each stage in the yeast cell-cycle process with PGEE For illustration, we used the yeast data from “G1” stage. Specifically, like the R package gee, the package PGEE requires the ...
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Power Analysis of Longitudinal Data with Time-Dependent Covariates Using Generalized Method of Moments
... likelihood (ML; Chaussé, 2010), which makes it even more important to come up with an efficient power analysis technique for GMM. The advantages of GMM and the lack of available power analysis techniques for such models ...
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Model Selection for Longitudinal Data With Time-Dependent Covariates Using Generalized Method of Moments
... time-dependent covariates. These special types of covariates introduce correlation among variables over time, and this correlation must be accounted for when constructing models for longitudinal ...
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A Simple Method for Predicting Distributions by Means of Covariates with Examples from Poverty and Health Economics
... to covariates that are available for the entire ...proposed method, based on similar ideas that have been used in the literature on policy evaluation, provides an alternative to existing simulation and ...
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Improving the Computational Efficiency in Bayesian Fitting of Cormack-Jolly-Seber Models with Individual, Continuous, Time-Varying Covariates
... individual, continuous, time-varying co- variates relies on the estimation of covariate values on occasions on which individuals were not ...missing covariates that must be updated during the MCMC sampling ...
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Takeover and Tax Issues
... recovery method” for reporting the gain (or loss) from the sale of shares where the price is subject to an earnout ...recovery method. The method entails the vendor reducing the adjusted cost base of ...
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Singapore Takeover Guide
... DUE DILIGENCE Before an offer for a take-over or acquisition is made, the acquirer may require due diligence to be conducted on the target company. There is no standard method for carrying out due diligence. ...
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ADAPTIVE SHARING METHOD FOR MULTIPLE CONTINUOUS QUERY
... be continuous and rapid, which requires strict time ...of continuous queries using a greedy optimization strategy so that the order is re-optimized dynamically in run-time due to the time-varying ...
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Parsing Continuous Speech by HMM LR Method
... 5. Experiments The HMM-LR method is applied to speaker-dependent J apanese phrase recognition. Duration control techniques and separate vector quantization are used to achieve accurate phone recognition. Two ...
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Zeta: A Global Method for Discretization of Continuous Variables
... of continuous variables based on zeta, a measure of strength of association that we have developed for this ...a continuous variable may be dichotomised by a procedure that searches for a maximum value of ...
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