Standard
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; Ferraro, Paul J.; Geldmann, Jonas; Oldekop, Johan A.; Schleicher, Judith.
In:
Conservation Biology, Vol. 36, No. 6, e14007, 2022.
Research output: Contribution to journal › Comment/debate › Research › peer-review
Harvard
Gordon Jones, JP, Barnes, M, Eklund, J, Ferraro, PJ
, Geldmann, J, Oldekop, JA & Schleicher, J 2022, '
Quantifying uncertainty about how interventions are assigned would improve impact evaluation in conservation: reply to Rasolofoson 2022',
Conservation Biology, vol. 36, no. 6, e14007.
https://doi.org/10.1111/cobi.14007
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,
36(6), [e14007].
https://doi.org/10.1111/cobi.14007
Vancouver
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;36(6). e14007.
https://doi.org/10.1111/cobi.14007
Author
Gordon Jones, Julia Patricia ; Barnes, Megan ; Eklund, Johanna ; Ferraro, Paul J. ; Geldmann, Jonas ; Oldekop, Johan A. ; Schleicher, Judith. / Quantifying uncertainty about how interventions are assigned would improve impact evaluation in conservation : reply to Rasolofoson 2022. In: Conservation Biology. 2022 ; Vol. 36, No. 6.
Bibtex
@article{c3d0aa2eb4ad4f68b1dddfe92dd547c5,
title = "Quantifying uncertainty about how interventions are assigned would improve impact evaluation in conservation: reply to Rasolofoson 2022",
keywords = "causal inference, counterfactual, hidden bias, impact evaluation, statistical matching",
author = "{Gordon Jones}, {Julia Patricia} and Megan Barnes and Johanna Eklund and Ferraro, {Paul J.} and Jonas Geldmann and Oldekop, {Johan A.} and Judith Schleicher",
year = "2022",
doi = "10.1111/cobi.14007",
language = "English",
volume = "36",
journal = "Conservation Biology",
issn = "0888-8892",
publisher = "Wiley-Blackwell",
number = "6",
}
RIS
TY - JOUR
T1 - Quantifying uncertainty about how interventions are assigned would improve impact evaluation in conservation
T2 - 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
PY - 2022
Y1 - 2022
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
C2 - 36178010
AN - SCOPUS:85139066181
VL - 36
JO - Conservation Biology
JF - Conservation Biology
SN - 0888-8892
IS - 6
M1 - e14007
ER -