measurement eror in covariate

[Gajanan G Patil]

  My dataset includes a continuous covariate subject to bias. How should I address this bias in abundance estimation? Could you suggest relevant references?  

[Eric Rexstad]

Gajanan

Can you provide more details about your question?  Is this a covariate you want to include in your detection function model? It might not be the case that the covariate of interest influences detectability; model selection might not choose the model, perhaps making the issue moot.

The pooling robustness property of distance sampling also indicates that density or abundance estimates are not biased when sources of variation in detectability are not included in the detection function models used for inference. You can read more about the pooling robustness property in this paper:

• Rexstad, E., Buckland, S., Marshall, L., & Borchers, D. (2023). Pooling robustness in distance sampling: Avoiding bias when there is unmodelled heterogeneity. Ecology and Evolution, 13, e9684. https://doi.org/10.1002/ece3.9684

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From: distance...@googlegroups.com <distance...@googlegroups.com> on behalf of Gajanan G Patil <gajanan...@gmail.com>
Sent: 01 July 2025 13:59
To: distance-sampling <distance...@googlegroups.com>
Subject: [distance-sampling] measurement eror in covariate

 

  My dataset includes a continuous covariate subject to bias. How should I address this bias in abundance estimation? Could you suggest relevant references?  

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From: distance...@googlegroups.com <distance...@googlegroups.com> on behalf of Gajanan G Patil <gajanan...@gmail.com>
Sent: 01 July 2025 13:59
To: distance-sampling <distance...@googlegroups.com>
Subject: [distance-sampling] measurement eror in covariate

 

  My dataset includes a continuous covariate subject to bias. How should I address this bias in abundance estimation? Could you suggest relevant references?  

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