Search Results - subject:"SIMEX"

New Challenges in HIV Research: Combining Phylogenetic Cluster Size and Epidemiological Data

Parveen, Nabila; Moodie, Erica E. M.; Cox, Joseph; … - In: Epidemiologic Methods 7 (2018) 1

Abstract An exciting new direction in HIV research is centered on using molecular phylogenetics to understand the social and behavioral drivers of HIV transmission. SPOT was an intervention designed to offer HIV point of care testing to men who have sex with men at a community-based site in...

Persistent link: https://www.econbiz.de/10014590638

Statistical Methods for Nonlinear Dynamic Models with Measurement Error Using the Ricker Model

Resendes, David Joseph - 2011

variances are utilized. To these ends, SIMEX and modified estimating equations (MEE) rather than likelihood methods are … depends on the true value of the parameter. Furthermore, the performances of SIMEX and MEE are associated with the true value … those from SIMEX. It was also found that the MEE estimators contain singularities which attribute to its low precision and …

Persistent link: https://www.econbiz.de/10009468234

Robustness in Latent Variable Models

Huang, Xianzheng - 2006

under these specific contexts. Then we borrow the idea of simulation-extrapolation (SIMEX), or remeasurement method …

Persistent link: https://www.econbiz.de/10009431306

Estimation of the Probit Model from Anonymized Micro Data

Ronning, Gerd; Rosemann, Martin - 2006

regressors then is handled by the simulation extrapolation (SIMEX) estimation procedure where we compare performance of quadratic …

Persistent link: https://www.econbiz.de/10010262864

Asymptotic Variance Estimation for the Misclassification SIMEX

Küchenhoff, Helmut; Lederer, Wolfgang; Lesaffre, Emmanuel - 2006

continuous analog to misclassification, a general approach for bias correction is the SIMEX (simulation extrapolation) originally … misclassified categorical response and/or the covariates by K¨uchenhoff et al. (2005), and is called the MC-SIMEX approach. To … original SIMEX approach. Carroll et al. (1996) developed a method for estimating the asymptotic variance. Here we derive the …

Persistent link: https://www.econbiz.de/10010266211

Estimation of the Probit Model from Anonymized Micro Data

Ronning, Gerd; Rosemann, Martin - Institut für Angewandte Wirtschaftsforschung (IAW) - 2006

regressors then is handled by the simulation extrapolation (SIMEX) estimation procedure where we compare performance of quadratic …

Persistent link: https://www.econbiz.de/10005558221

Unit Root Tests in Time Series and Stochastic Volatility Models

Sen, Kapildeb - 2002

propose a unit root test for the volatility process based on the Simulation-Extrapolation (SIMEX) approach. We express the SVM … as a measurement error model and propose a Simulation-Extrapolation (SIMEX)-based approach to test for the unit root … obtain SIMEX-based tests and simulation studies are provided to demonstrate that the SIMEX-based test compares favorably with …

Persistent link: https://www.econbiz.de/10009431184

Nonparametric kernel and regression spline estimation in the presence of measurement error

Maca, J. D.; Carroll, Raymond J.; Ruppert, David - 1997

kernel regression context, we derive the limit distribution of the SIMEX estimate. With the regression spline technique, two … different methods of estimations are used. The first method is the SIMEX algorithm which attempts to estimate the bias, and …

Persistent link: https://www.econbiz.de/10010310815

Nonparametric kernel and regression spline estimation in the presence of measurement error

Maca, J. D.; Carroll, Raymond J.; Ruppert, David - Sonderforschungsbereich 373, Quantifikation und … - 1997

Persistent link: https://www.econbiz.de/10010956490

Transformations of additivity in measurement error models

Eckert, R. Stephen; Carroll, Raymond J.; Wang, Naisyin - 1996

In many problems one wants to model the relationship between a response Y and a covariate X. Sometimes it is difficult, expensive, or even impossible to observe X directly, but one can instead observe a substitute variable W which is easier to obtain. By far the most common model for the...

Persistent link: https://www.econbiz.de/10010310765