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Besides allergy (hives, swelling, rash) possible reaction to Amoxicillin may be diarrhea, dizziness, heartburn, insomnia, nausea, itching, vomiting, confusion, abdominal pain, easy bruising.

This medication diminishes effect of certain contraception drugs. Continue to take this drug even if you feel fine as life circle of bacteria has certain peculiarities. If you stopped to take the drug having not completed the course of treatment it may result in their further propagation and producing of strains resistant to this medication. Do not give this drug to the sick who have similar symptoms as their illness maybe provoked by other type of microorganisms. Antibiotic medicines can cause diarrhea, inform your doctor if you have it. If you breastfeed and take Amoxicillin, the medication may excrete in milk and cause diarrhea in your baby. Warn your doctor if you suffer from asthma.


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One approach developed to address these challenges is one in which variables that are correlated with the missingness or the missing data are included in an analysis (). Specifically, a model is specified that allows for associations between variables of a data model and correlates of the missingness or missing data. When these correlates are included in an analysis, the data are A-MAR (, Definition 5.11). Under A-MAR, the data are MAR under the condition that the missingness is no longer dependent on the missing data after accounting for dependencies of the missingness on the observed data, any covariates, and the auxiliary variables. In this way, the source of the missing data may be ignorable (). Essentially, auxiliary variables help by providing important information about the relationships among variables that have missing data. In the case of multiple informant data, information provided by informants with complete data may also help, similar to auxiliary variables, in providing the needed information for about the data that are missing for other informants. In any case, the specific reasons for the missing data need not be known and the auxiliary variables need not correlate with the missingness ().