Dual Instrumental Variable RegressionKrikamol MuandetArash MehrjouSi Kai LeeAnant RajNeural Information Processing Systems
Our primary analysis consisted of a comparison of the two hospital-stratified treatment strategies – ticagrelor-DAPT for all (CHUS) vs. physician-discretion TATT or DAPT (CHUM) – using multivariable logistic regression with a backwards selection algorithm (p = 0.25) with a plan to use the...
Table 3 Benchmark regression. Full size table Endogeneity test Heckman test The Heckman two-stage model was employed to address the endogeneity issue. In the first stage, a dummy variable (DWF_A) was created based on whether the digital finance level of the firm’s location exceeded the annua...
The DT GR program will be composed of five different 5-min cognitive-motor DTs. The DT gait exercises will be related to instrumental activities of daily living after a stroke and will involve both internal interfering functions (executive functions, phasic functions, memory, and prehension) or ...
eTable 1. Cox Proportional Hazard Regression of the Association of Gait Velocity and Incident Dementia Modeled as a Dichotomous Variable, Using Cutoffs Based on 1.5 SD Below Cohort Mean and ROC Analysis. eTable 2. Cox Proportional Hazard Regression of the Association of Gait Velocity Stratified By...
The distance to nearest VHA facility minus the distance to nearest non-federal hospital was the instrumental variable in a two-part regression model which controlled for observed and unobserved factors. In 1999, 57.4% of subjects received care from both VHA and Medicare providers; their mean ...
A simple idea on applying large regression coefficient to improve the genetic algorithm-PLS for variable selection in multivariate calibration. Chemometr Intell Lab. 2014;130:76–83. Article CAS Google Scholar Cai W, Li Y, Shao X. A variable selection method based on uninformative variable ...
In practical data acquisition, it is very likely that pseudorange errors at particular epochs suddenly have significantly larger values than the expected ones. This might be due to the presence of diffraction and multipath or to the variations of the instrumental delays possibly due to temperature va...
If the data is non-stationary, there may not be a long-term equilibrium relationship between the variables, and to avoid the phenomenon of spurious regression in the empirical process, it is necessary to test the stationary of each variable This paper uses the unit root (ADF) test. If p...
Quasi-Bayesian Dual Instrumental Variable Regression.Ziyu WangYuhao ZhouTongzheng RenJun Zhu