Produce monotone and non-monotone missing data patterns

kc — Sat, 07 May 2022 21:56:07 GMT

I am trying to simulate monotone and non-monotone missing data patterns on a repeated measures longitudinal dataset (with no missing values to begin with). For simplicity, lets assume 1000 observations (one record per subject), a group variable with 2 levels, with 4 repeated measures of an outcome variable.

https://blogs.sas.com/content/iml/2016/10/26/patterns-of-missing-data.html

I believe it's easy to simulate non-monotone missing data pattern using the example in the link above. And, in order to create monotone patterns, you can specify the patterns you need using a zero-one matrix and either use proc iml or data steps to get the end result.

I have the following questions -

1. It would be helpful if someone can share a worked example/code out there that creates both monotone and non-monotone missing data patterns, and perhaps allows you to control the amount/rate of missing data for these different patterns.

2. Also, can we use a propensity score based model to create monotone missing data pattern for a dataset?

Any links/articles/code would be helpful.

Thanks!

Re: Produce monotone and non-monotone missing data patterns

Ksharp — Sun, 08 May 2022 09:07:14 GMT

Calling @Rick_SAS

topic Re: Produce monotone and non-monotone missing data patterns in Statistical Procedures

Produce monotone and non-monotone missing data patterns

Re: Produce monotone and non-monotone missing data patterns