Keeping baseline as predictor with change score as outcome in this peculiar scenario

It is generally recommended that baseline should not be kept as predictor if change score (final - baseline) is the outcome variable. However, there are many instances in biomedical research when one feels that baseline may be affecting change and it may be biologically important factor.

Consider following scenario also:

If a child has height h1 at baseline and we give a height increasing drug. The change in height has to be positive (since height cannot decrease). Moreover, it will be close to initial height (hence not independent). So final height cannot be random. While we may assume the change (increase) to be random in a distribution.

  1. Can we test "change ~ h1 + trt + age + gender" in this scenario? If not, why not?

  2. Similar example can be given of weight; only there change can be positive or negative. Does that make a difference to approach?

Thanks for your answers.

Cross Validated Asked on November 21, 2021

0 Answers

Add your own answers!

Related Questions

ARDL and ECM lags

0  Asked on August 8, 2020 by php-useless


What statistical analysis to used for kinetic data with multiple groups?

1  Asked on August 5, 2020 by carlos-valenzuela


Random forest after cross validation

1  Asked on August 1, 2020 by steven-niggebrugge


Grey relation between two datasets?

0  Asked on July 31, 2020 by msilvy


What is the seasonal trend lowess model in time series?

0  Asked on July 28, 2020 by christopher-u


Extended Cox model and cox.zph

2  Asked on July 25, 2020 by finance


Ask a Question

Get help from others!

© 2021 All rights reserved.