Hosmer-lemeshow test, Advanced Statistics


Hosmer-Lemeshow test is a goodness-of-fit test taken in use in logistic regression, particularly when there are regular covariates. Units are spitted into deciles based on predicted probabilities and a 2 × 10 contingency table of the expected and observed frequencies for the deciles attained. The Hosmer-Lemeshow test statistic is the Pearson chi-square statistic for this contingency table and has an estimated chi-squared distribution with 8 degrees of freedom if the model is correct. The test has restricted power. 


Posted Date: 7/28/2012 7:19:11 AM | Location : United States

Related Discussions:- Hosmer-lemeshow test, Assignment Help, Ask Question on Hosmer-lemeshow test, Get Answer, Expert's Help, Hosmer-lemeshow test Discussions

Write discussion on Hosmer-lemeshow test
Your posts are moderated
Related Questions
difference between histogram and historigram

This is an attempt to measure the suffering caused by the illness which takes into the account both the years of the potential life lost due to the premature mortality as well as t

with the help of regression analysis create a model that best describes the situation. Indicate clearly the effect that each factors given in the attached file and other factors ma

Multicentre study : The clinical trial conducted simultaneously in the number of participating hospitals, with all centres following an agreed-upon study of the protocol and with

Weighted least squares  is the method of estimation in which the estimates arise from minimizing the weighted sum of squares of the differences between response variable and its pr

Biplots: It is the multivariate analogue of the scatter plots, which estimates the multivariate distribution of the sample in a few dimensions, typically two and superimpose on th

Product-limit estimator is a method for estimating the survival functions for the set of survival times, some of which might be censored observations. The logic behind the procedu

The problem that the studies are not uniformly probable to be published in the scientific journals. There is evidence that the statistical significance is a main determining factor

Primary Model Below is a regression analysis without 17 outliers that have been removed Regression Analysis: wfood versus totexp, income, age, nk The regression equat

Zero-inflated Poisson regression is  the model for count data with the excess zeros. It supposes that with probability p the only possible observation is 0 and with the probabilit