Many of us are doing ongoing prospective research, yet COVID-19 has paused our work for a while or even months because of the city shut-down. There is an unexpected huge increase in lost to follow-up in our research clinics.

How should we deal with these cases, and the associated data?

The selection bias caused by the lost to follow-up cannot be adjusted by study design, as it is started already. What methods can we use to adjust instead?

Can anyone simply explain how inverse probability-of-censoring weighted estimation technique work on this issue?

How to run it practically, e.g. by SPSS software? Or other higher level of statistical software is needed?

How about stratification-based methods or weighted methods? How are they working actually?

Any practical guide available online?

Great thanks in advance with all your help!

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