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Genetic matching estimates are based on single nearest neighbor matching with replacement.
We use many-to-one caliper matching with replacement, based on the propensity score.
This approach uses an evolutionary search algorithm (i.e. a genetic algorithm) that chooses a weighting matrix W that maximizes the balance of the observed covariates across the treatment and comparison groups in the context of single nearest neighbor matching with replacement, by minimizing the following criterion.
The main analysis in this study uses a logit specification to estimate the T1D propensity score and one-to-one matching with replacement.
In matching with replacement, each exposed subject is matched to the nearest unexposed subject.
We employed matching with replacement as the numbers of patients with SGNB infections were limited.
Similar(40)
Each individual was matched with replacement based on his or her propensity score using the nearest-neighbor approach [ 20].
Nondiabetic women registered for health coverage on the diabetes index date were then matched, with replacement, on age and index year.
The nested case control study included 293 incident breast cancer cases with a mouthwash sample (50.7% of eligible cases) and two controls with mouthwash samples who were randomly matched with replacement to each case by race (white, Hispanic and non-Hispanic; other), state (Iowa, North Carolina), age at enrollment (5-year age groups), and enrollment period (1993 1995, 1996 1997).
For robustness checks I also conduct a nearest neighbour propensity score matching with no replacement (one-to-one matching).
Our approach is similar to Goodman and Sianesi (2005) and we use propensity score matching with the nearest neighbour method with replacement (as it has been shown to reduce bias relative to matching without replacement, see Dehejia and Wahba, 2002) and then used the common option so that off-support observations are automatically dropped.
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CEO of Professional Science Editing for Scientists @ prosciediting.com