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Quantifying uncertainty about how interventions are assigned would improve impact evaluation in conservation: reply to Rasolofoson 2022. / Gordon Jones, Julia Patricia; Barnes, Megan; Eklund, Johanna et al.
Yn: Conservation Biology, 01.12.2022.

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APA

Gordon Jones, J. P., Barnes, M., Eklund, J., Ferraro, P. J., Geldmann, J., Oldekop, J. A., & Schleicher, J. (2022). Quantifying uncertainty about how interventions are assigned would improve impact evaluation in conservation: reply to Rasolofoson 2022. Conservation Biology, Erthygl e14007. https://doi.org/10.1111/cobi.14007

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MLA

VancouverVancouver

Gordon Jones JP, Barnes M, Eklund J, Ferraro PJ, Geldmann J, Oldekop JA et al. Quantifying uncertainty about how interventions are assigned would improve impact evaluation in conservation: reply to Rasolofoson 2022. Conservation Biology. 2022 Rhag 1;e14007. Epub 2022 Medi 30. doi: 10.1111/cobi.14007

Author

RIS

TY - JOUR

T1 - Quantifying uncertainty about how interventions are assigned would improve impact evaluation in conservation: reply to Rasolofoson 2022

AU - Gordon Jones, Julia Patricia

AU - Barnes, Megan

AU - Eklund, Johanna

AU - Ferraro, Paul J.

AU - Geldmann, Jonas

AU - Oldekop, Johan A.

AU - Schleicher, Judith

N1 - https://doi.org/10.1111/cobi.14007

PY - 2022/12/1

Y1 - 2022/12/1

KW - causal inference

KW - counterfactual

KW - hidden bias

KW - impact evaluation

KW - statistical matching

U2 - 10.1111/cobi.14007

DO - 10.1111/cobi.14007

M3 - Comment/debate

JO - Conservation Biology

JF - Conservation Biology

SN - 0888-8892

M1 - e14007

ER -