Ridge regressionEfficient computationCox's proportional hazards model is the most common way to analyze survival data. The model can be extended in the presence of collinearity to include a ridge penalty, or in cases where a very large number of coefficients (e.g. with microarray data) has to...
The Poisson-exponential regression model under different latent activation schemesactivation schemesexponential distributionpoisson distributionsurvival analysisIn this paper, a new family of survival distributions is presented. It is derived by considering that the latent number of failure causes follows a ...
Lastly, we have to mention that since Poisson regression models have been for long used for performing estimations on survival data (Laird & Olivier, 1981; Whitehead, 1980) another possible use of the mixed- effects Poisson model could be that of performing IPD meta-analysis with survival data...
st: AIC and zero-truncated poisson regression From"Ryan Fisher" <rjf@ualberta.ca> To<statalist@hsphsun2.harvard.edu> Subjectst: AIC and zero-truncated poisson regression DateTue, 4 Dec 2012 10:46:49 -0700
The negative binomial regression model is more flexible than the standard Poisson model and is frequently used to analyse outcome variable with over- dispersion. The GPR model, on the other hand, can cap- ture both over- and under-dispersion properties of the data, which make this model even...
regression parameterspin the model. Initially, a model with all covariates was fitted to the data, and its AIC value was observed. Then, covariates with largep-values were excluded, and the AIC was observed again. The model with the lowest AIC was considered the best model and used for ...
Furthermore, information on exact birth weight was unavailable for most of the children21. Multilevel mixed-effects Poisson regression models with robust error variance were used to avoid overestimation of associations with common binary outcomes measured in cross-sectional study22,26,30. We also ...
to handling the data on this response is to assume a binomial distribution for the number of live insects and then fit a logis- tic regression model of a similar form to (1); i.e., we assume L,, e N binomial(n,, e, 7rZ3 e), where n,,.e is the total number of insec...
It could be easily implemented using existing penalized regression package. Computer code is shared for implementation. The methods were applied on simulated data to illustrate the importance to take into account between trial heterogeneity during the selection procedure. Finally, it was applied to an ...
Zero-inflated generalized Poisson model with an application to domestic violence data. J Data Sci. 2006;4(1):117–30.10.6339/JDS.2006.04(1).257Search in Google Scholar [12] Xie FC, Wei BC, Lin JG. Score tests for zero-inflated generalized Poisson mixed regression models. Comput Stat Data...