Description Usage Arguments References See Also Examples

The D2-statistic pools test statistics from the repeated analyses. The method is less powerful than the D1- and D3-statistics.

1 |

`fit1` |
An object of class |

`fit0` |
An object of class |

`use` |
A character string denoting Wald- or likelihood-based based tests. Can be either |

Li, K. H., X. L. Meng, T. E. Raghunathan, and D. B. Rubin. 1991.
Significance Levels from Repeated p-Values with Multiply-Imputed Data.
*Statistica Sinica* 1 (1): 65–92.

https://stefvanbuuren.name/fimd/sec-multiparameter.html#sec:chi

1 2 3 4 5 6 7 8 9 10 11 | ```
# Compare two linear models:
imp <- mice(nhanes2, seed = 51009, print = FALSE)
mi1 <- with(data = imp, expr = lm(bmi ~ age + hyp + chl))
mi0 <- with(data = imp, expr = lm(bmi ~ age + hyp))
D2(mi1, mi0)
# Compare two logistic regression models
imp <- mice(boys, maxit = 2, print = FALSE)
fit1 <- with(imp, glm(gen > levels(gen)[1] ~ hgt + hc + reg, family = binomial))
fit0 <- with(imp, glm(gen > levels(gen)[1] ~ hgt + hc, family = binomial))
D2(fit1, fit0)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.