New statistical model for misreported data with application to current public health challenges

03/20/2020
by   David Moriña, et al.
0

The main goal of this work is to present a new model able to deal with potentially misreported continuous time series. The proposed model is able to handle the autocorrelation structure in continuous time series data, which might be partially or totally underreported or overreported. Its performance is illustrated through a comprehensive simulation study considering several autocorrelation structures and two real data applications on human papillomavirus incidence in Girona (Catalunya, Spain) and COVID-19 incidence in the Chinese region of Heilongjiang.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset