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For example, the results from the regression analyses with the matched samples (with covariates as controls) suggest a significant treatment effect for Singapore and Sweden.
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Both MICE-PMM and the 'aregImpute' function identify suitable matches from the observed data and therefore additional caution is required with small samples and with covariates with rare events as there may be a limited number of available cases to be selected as imputed values.
Let be an independent right-censored sample with regression covariates, where indicates that the complete time has been observed.
This method enables estimation of parameters in small samples with strongly predictive covariates, where the phenomenon of separation makes at least one parameter estimate diverge to ± infinity.
Restricting analyses to never-smokers, in the sample with full covariate data: 110 (7%) lived with a smoker and 1457 933%) did not, geometric mean cotinine levels were respectively 0.12 ng/ml (IQR 0.05 0.21) and 0.74 ng/ml (IQR 0.25 2.46).
It can be difficult to find appropriate matches when trying to match on several variables, but Rosenbaum and Rubin (7) showed that matching on the propensity score (the conditional probability of exposure given a set of covariates) could produce samples with the same distribution of covariates in exposed and unexposed subjects.
Tree size (N) was modeled using a repeated measures model with autoregressive subject variance as follows: (1) where Y ijkt is the dependent variable for the random subject of the ith seedling (I) nested within the jth parent (F) and the kth source population (P), measured at the tth sampling time (M), with covariate of parental mean seed weight (W).
First-level contrast images of interest for each participant were then entered into second-level between-group two-sample t-tests (controls versus bvFTD) with covariates of age and gender; a similar between-subgroup second-level analysis was conducted post-hoc to compare patients with and without musicophilia.
This data set contains 2837 samples with non-missing phenotype and covariates (age and gender).
These models were used to predict estimated costs per member per year with covariates held constant at their sample means.
SampleNetwork also enables significance testing of sample covariates with respect to sample metrics, and data normalization.
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