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Why and When "Flawed" Social N...
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101
Identification of average effects under magnitude and sign restrictions on
confounding
Chalak, Karim
- In:
Quantitative economics : QE ; journal of the …
10
(
2019
)
4
,
pp. 1619-1657
confounding
are weaker than requiring benchmark assumptions, such as exogeneity or a perfect proxy, and enable a sensitivity …
Persistent link: https://www.econbiz.de/10012202882
Saved in:
102
Integer programming approaches to find row-column arrangements of two-level orthogonal experimental designs
Nha Vo-Thanh
;
Goos, Peter
;
Schoen, Eric D.
-
2016
Persistent link: https://www.econbiz.de/10011729923
Saved in:
103
Symmetry breaking in mixed integer linear programming formulations for blocking two-level orthogonal experimental designs
Nha Vo-Thanh
;
Jans, Raf
;
Schoen, Eric D.
;
Goos, Peter
- In:
Computers & operations research : and their …
97
(
2018
),
pp. 96-110
Persistent link: https://www.econbiz.de/10011872896
Saved in:
104
Health selection and the effect of smoking on mortality
Adda, Jérôme
;
Lechene, Valérie
- In:
The Scandinavian journal of economics
115
(
2013
)
3
,
pp. 902-931
Persistent link: https://www.econbiz.de/10009778313
Saved in:
105
Simple and reliable estimators of coefficients of interest in a model with high-dimensional
confounding
effects
Galbraith, John W.
;
Zinde-Walsh, Victoria
- In:
Journal of econometrics
218
(
2020
)
2
,
pp. 609-632
Persistent link: https://www.econbiz.de/10012483173
Saved in:
106
Formal covariate benchmarking to bound omitted variable bias
Basu, Deepankar
-
2023
Covariate benchmarking is an important part of sensitivity analysis about omitted variable bias and can be used to bound the strength of the unobserved confounder using information and judgments about observed covariates. It is common to carry out formal covariate benchmarking after...
Persistent link: https://www.econbiz.de/10014430784
Saved in:
107
Covariate benchmarking for sensitivity analysis when the confounder is correlated with observed covariates
Basu, Deepankar
-
2023
Covariate benchmarking is an important part of sensitivity analysis about omitted variable bias and can be used to bound the strength of the unobserved confounder using information and judgments about observed covariates. It is common to carry out formal covariate benchmarking under the...
Persistent link: https://www.econbiz.de/10014292518
Saved in:
108
Estimating causal effects with optimization-based methods : a review and empirical comparison
Cousineau, Martin
;
Verter, Vedat
;
Murphy, Susan A.
; …
- In:
European journal of operational research : EJOR
304
(
2023
)
2
,
pp. 367-380
Persistent link: https://www.econbiz.de/10013534525
Saved in:
109
Confounding
and Effect Modification: Distribution and Measure
VanderWeele, Tyler J.
- In:
Epidemiologic Methods
1
(
2012
)
1
,
pp. 55-82
Abstract The paper considers the properties of and relations between
confounding
and effect modification from the … of
confounding
depends on how the exposure was assigned; the presence of effect modification does not. The possibility of …
confounding
without effect modification and vice versa is discussed both with respect to distribution and measure. Discussion is …
Persistent link: https://www.econbiz.de/10014590578
Saved in:
110
A Tutorial on Interaction
VanderWeele, Tyler J.
;
Knol, Mirjam J.
- In:
Epidemiologic Methods
3
(
2014
)
1
,
pp. 33-72
, different mechanistic forms of interaction, when interaction is robust to unmeasured
confounding
, interaction for continuous …
Persistent link: https://www.econbiz.de/10014590592
Saved in:
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