How to Test for Goodness of Fit in Ordinal Logistic Regression Models
نویسندگان
چکیده
منابع مشابه
A goodness-of-fit test of logistic regression models for case-control data with measurement errors
We study the problem of goodness-of-fit tests for logistic regression models for case-control data when some covariates are measured with errors. We first study the applicability of traditional test methods for this problem by simply ignoring measurement errors and show that in some scenarios they are still effective despite the inconsistency of the parameter estimators. We then develop a test ...
متن کاملNonparametric Goodness-of-fit Test for Heteroscedastic Regression Models
For the heteroscedastic nonparametric regression model Yni = m(xni)+σ(xni)2ni, i = 1, ..., n, a novel method is proposed for testing that the regression function m is constant. The test statistic is motivated by recent developments in the asymptotic theory for analysis of variance when the number of factor levels is large. Its asymptotic normality is derived under the null hypothesis and suitab...
متن کاملHow to use SAS® to fit Multiple Logistic Regression Models
When response outcomes are continuous error terms in models are normally distributed and a standard normal distribution function is adequate. The logistic distribution function which is very similar to the normal distribution function is required when the response variable is binary. Parameters of a logistic response function are often estimated using the method of maximum likelihood (ML). One ...
متن کاملGoodness-of-fit processes for logistic regression: simulation results.
In this paper we use simulations to compare the performance of new goodness-of-fit tests based on weighted statistical processes to three currently available tests: the Hosmer-Lemeshow decile-of-risk test; the Pearson chi-square, and the unweighted sum-of-squares tests. The simulations demonstrate that all tests have the correct size. The power for all tests to detect lack-of-fit due to an omit...
متن کاملIncreasing the power: A practical approach to goodness-of-fit test for logistic regression models with continuous predictors
When continuous predictors are present, classical Pearson and deviance goodness-of-fit tests to assess logistic model fit break down. The Hosmer–Lemeshow test can be used in these situations. While simple to perform and widely used, it does not have desirable power in many cases and provides no further information on the source of any detectable lack of fit. Tsiatis proposed a score statistic t...
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: The Stata Journal: Promoting communications on statistics and Stata
سال: 2017
ISSN: 1536-867X,1536-8734
DOI: 10.1177/1536867x1701700308