Proofread multilevel logistic model

I need your help in my statistical analysis (multilevel, multivariate logistics).

Can you please give me a quote of looking at:

1. My R code
2. How I conducted imputation for NAs
3. Up-scaling data for similar number of value of 0 and 1
4. How I recoded to create community level variable
5. My model using anova to fit the model.

Dataset
This study uses 2015-16 Fourth National Family Health Survey (NFHS-4); the nationally representative survey data that includes slum data on Eight Cities (Delhi, Meerut, Kolkata, Indore, Mumbai, Nagpur, Hyderabad, Chennai) of India.

Model and variable specification
Outcome variables are binary in nature and will be coded as 0 as No and 1 as Yes. They are carefully chosen to represent the phenotype of RTI and GI infections; following a similar peer-reviewed article that used 1998-99 NFHS data to “understand determinants of health services utilization for children suffering from diarrhoea and respiratory illness in rural Bihar” (15).
1. FeCo: a child had both fever and cough in last two weeks (recoded using H22: Had fever in last two weeks and H31: Had cough in last two weeks);
2. H11: a child had diarrhoea in last two weeks.

Explanatory variables in this study were categorized into 3 levels: individual-, household-, and slum-level. This decision was based on WHO Social Determinants of Health Framework, which explains that one’s health and well-being is the results of both structural and intermediary determinants of health, with structural determinants influencing the health inequities in the society.


Best,