What does the Hosmer and Lemeshow test tell you?

What does the Hosmer and Lemeshow test tell you?

The Hosmer-Lemeshow test (HL test) is a goodness of fit test for logistic regression, especially for risk prediction models. A goodness of fit test tells you how well your data fits the model. Specifically, the HL test calculates if the observed event rates match the expected event rates in population subgroups.

How do you interpret a Hosmer-Lemeshow test in SPSS?

The Hosmer-Lemeshow statistic indicates a poor fit if the significance value is less than 0.05. Here, the model adequately fits the data. This statistic is the most reliable test of model fit for IBM® SPSS® Statistics binary logistic regression, because it aggregates the observations into groups of “similar” cases.

What do you do if the Hosmer Lemeshow test is significant?

What to do when Hosmer lemeshow test fails during Logistic…

1. change the selection of numerical variables which you are doing.Try to use relevant variables and check there significance.
2. Bucket your continuous variable in 3-4 bins(depends on business).
3. Create dummy variables replacing the categorical variables.

Which is an example of the Hosmer Lemeshow test?

Example 1: Use the Hosmer-Lemeshow test to determine whether the logistic regression model is a good fit for the data in Example 1 in Comparing Logistic Regression Models. In our example, the sum is taken over the 12 Male groups and the 12 Female groups.

When was the Hosmer Lemeshow goodness of fit test created?

In a 1980 paper Hosmer-Lemeshow showed by simulation that (provided ) their test statistic approximately followed a chi-squared distribution on degrees of freedom, when the model is correctly specified.

Is the null hypothesis the same across all doses?

The null hypothesis is that the observed and expected proportions are the same across all doses. The alternative hypothesis is that the observed and expected proportions are not the same. The Pearson chi-squared statistic is the sum of (observed – expected)^2/expected.

Which is the Hosmer function in real statistics?

Real Statistics Functions: The Real Statistics Resource Pack provides the following two supplemental functions. HOSMER(R1, lab, raw, iter) – returns a table with 10 equal-sized data ranges based on the data in range R1 (without headings)