elrm: Software Implementing Exact-like Inference for Logistic Regression Models
نویسندگان
چکیده
منابع مشابه
elrm: Software Implementing Exact-like Inference for Logistic Regression Models
Exact inference is based on the conditional distribution of the sufficient statistics for the parameters of interest given the observed values for the remaining sufficient statistics. Exact inference for logistic regression can be problematic when data sets are large and the support of the conditional distribution cannot be represented in memory. Additionally, these methods are not widely imple...
متن کاملBayesian Inference for Logistic Regression Models using Sequential Posterior Simulation
The logistic specification has been used extensively in non-Bayesian statistics to model the dependence of discrete outcomes on the values of specified covariates. Because the likelihood function is globally weakly concave estimation by maximum likelihood is generally straightforward even in commonly arising applications with scores or hundreds of parameters. In contrast Bayesian inference has ...
متن کاملMonte Carlo Markov Chain Exact Inference for Binomial Regression Models
Current methods for conducting exact inference for logistic regression are not capable of handling large data sets due to memory constraints caused by storing large networks. We provide and implement an algorithm which is capable of conducting (approximate) exact inference for large data sets. Various application fields, such as genetic epidemiology, in which logistic regression models are fit ...
متن کاملPerforming Exact Logistic Regression with the SAS
Exact logistic regression has become an important analytical technique, especially in the pharmaceutical industry, since the usual asymptotic methods for analyzing small, skewed, or sparse data sets are unreliable. Inference based on enumerating the exact distributions of sufficient statistics for parameters of interest in a logistic regression model, conditional on the remaining parameters, is...
متن کاملMultiple Logistic Regression and Model Fit Multiple Logistic Regression Just as in OLS regression, logistic models
Multiple Logistic Regression Just as in OLS regression, logistic models can include more than one predictor. The analysis options are similar to regression. One can choose to select variables, as with a stepwise procedure, or one can enter the predictors simultaneously, or they can be entered in blocks. Variations of the likelihood ratio test can be conducted in which the chi-square test (G) is...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2007
ISSN: 1548-7660
DOI: 10.18637/jss.v021.i03