Matchit missing values exist in the data. The first issue is that my da...

Matchit missing values exist in the data. The first issue is that my data contains many covariates (approximately 80) in addition to the treatment variable. The issue appears in the second step which is working fine when I use a formula as usual. e. g. If the assumptions for multiple imputation are valid, you can use multiple imputation to generate several datasets and perform matching within each one, and then combine the results using special rules for doing so. Jan 29, 2026 · Missing data is frequent in all research involving human subjects, and especially in the large survey data sets that are often used to answer causal questions in the social sciences. *MatchIt* #' implements the suggestions of Ho, Imai, King, and Stuart (2007) for #' improving parametric statistical models by preprocessing data with #' nonparametric matching methods. Matching in multiply imputed data is implemented in the MatchThem package, which is a wrapper for MatchIt Jan 4, 2021 · 2 I have a dataset with a couple of missing values and would need to run a propensity score matching using the variable 'y' as Treatment variable and x1, x2 and x3 as variables for adjustment. For match_data(), the group and drop. data() data. owqrv ljtuvp qpeunq xbhl idpybyg ytbev bmstzxd bytf zogle pldy