-
2
-
-
44649173785
-
A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003
-
P.Austin (2008). A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003. Statistics in Medicine, 27, 2037–2049.
-
(2008)
Statistics in Medicine
, vol.27
, pp. 2037-2049
-
-
Austin, P.1
-
3
-
-
79958704133
-
An introduction to propensity score methods for reducing the effects of confounding in observational studies
-
P.Austin (2011). An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behavioral Research, 46, 399–424.
-
(2011)
Multivariate Behavioral Research
, vol.46
, pp. 399-424
-
-
Austin, P.1
-
5
-
-
33646480615
-
Assessing the total effect of time-varying predictors in prevention research
-
10.1007/s11121-005-0023-0
-
B.BrayD.AlmirallR.ZimmermanD.LynamS.Murphy (2006). Assessing the total effect of time-varying predictors in prevention research. Prevention Science, 7, 1–17. 10.1007/s11121-005-0023-0
-
(2006)
Prevention Science
, vol.7
, pp. 1-17
-
-
Bray, B.1
Almirall, D.2
Zimmerman, R.3
Lynam, D.4
Murphy, S.5
-
6
-
-
38849182246
-
Some practical guidance for the implementation of propensity score matching
-
M.CaliendoS.Kopeinig (2008). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, 22, 31–72.
-
(2008)
Journal of Economic Surveys
, vol.22
, pp. 31-72
-
-
Caliendo, M.1
Kopeinig, S.2
-
8
-
-
84861176367
-
Assessing mediation using marginal structural models in the presence of confounding and moderation
-
D.CoffmanW.Zhong (2012). Assessing mediation using marginal structural models in the presence of confounding and moderation. Psychological Methods, 17, 642–664.
-
(2012)
Psychological Methods
, vol.17
, pp. 642-664
-
-
Coffman, D.1
Zhong, W.2
-
9
-
-
51749124303
-
Constructing inverse probability weights for marginal structural models
-
S.ColeM.Hernán (2008). Constructing inverse probability weights for marginal structural models. American Journal of Epidemiology, 168, 656–664.
-
(2008)
American Journal of Epidemiology
, vol.168
, pp. 656-664
-
-
Cole, S.1
Hernán, M.2
-
10
-
-
77952717253
-
Illustrating bias due to conditioning on a collider
-
S.ColeR.PlattE.SchistermanH.ChuD.WestreichD.RichardsonC.Poole (2010). Illustrating bias due to conditioning on a collider. International Journal of Epidemiology, 39, 417–420.
-
(2010)
International Journal of Epidemiology
, vol.39
, pp. 417-420
-
-
Cole, S.1
Platt, R.2
Schisterman, E.3
Chu, H.4
Westreich, D.5
Richardson, D.6
Poole, C.7
-
12
-
-
84930399281
-
-
Technical Report #84, Mayo Clinic, Rochester, MN:
-
C.CrowsonL.SchenckA.GreenE.AtkinsonT.Therneau (2013). The basics of propensity scoring and marginal structural models (Technical Report #84), Mayo Clinic, Rochester, MN, 1–37.
-
(2013)
The basics of propensity scoring and marginal structural models
, pp. 1-37
-
-
Crowson, C.1
Schenck, L.2
Green, A.3
Atkinson, E.4
Therneau, T.5
-
13
-
-
3543135271
-
Tutorial in biostatistics: Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group
-
R.D’Agostino (1998). Tutorial in biostatistics: Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Statistics in Medicine, 17, 2265–2281.
-
(1998)
Statistics in Medicine
, vol.17
, pp. 2265-2281
-
-
D’Agostino, R.1
-
15
-
-
84855817938
-
gformula: Estimating causal effects in the presence of time-varying confounding or mediation using the g-computation formula
-
R.DanielB.De StavolaS.Cousens (2011). gformula: Estimating causal effects in the presence of time-varying confounding or mediation using the g-computation formula. Stata Journal, 11, 479–517.
-
(2011)
Stata Journal
, vol.11
, pp. 479-517
-
-
Daniel, R.1
De Stavola, B.2
Cousens, S.3
-
16
-
-
0036102924
-
Propensity score-matching methods for nonexperimental causal studies
-
R.DehejiaS.Wahba (2002). Propensity score-matching methods for nonexperimental causal studies. Review of Economics and Statistics, 84, 151–161.
-
(2002)
Review of Economics and Statistics
, vol.84
, pp. 151-161
-
-
Dehejia, R.1
Wahba, S.2
-
17
-
-
0038334174
-
Quantifying biases in causal models: Classical confounding vs collider-stratification bias
-
S.Greenland (2003). Quantifying biases in causal models: Classical confounding vs collider-stratification bias. Epidemiology, 14, 300–306.
-
(2003)
Epidemiology
, vol.14
, pp. 300-306
-
-
Greenland, S.1
-
18
-
-
0032924944
-
Causal diagrams for epidemiologic research
-
10.2307/3702180
-
S.GreenlandJ.PearlJ.Robins (1999). Causal diagrams for epidemiologic research. Epidemiology, 10, 37–48. 10.2307/3702180
-
(1999)
Epidemiology
, vol.10
, pp. 37-48
-
-
Greenland, S.1
Pearl, J.2
Robins, J.3
-
19
-
-
0022973522
-
Identifiability, exchangeability, and epidemiological confounding
-
10.1093/ije/15.3.413
-
S.GreenlandJ.Robins (1986). Identifiability, exchangeability, and epidemiological confounding. International Journal of Epidemiology, 15, 413–419. 10.1093/ije/15.3.413
-
(1986)
International Journal of Epidemiology
, vol.15
, pp. 413-419
-
-
Greenland, S.1
Robins, J.2
-
20
-
-
84866282156
-
-
(U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 252), Berkeley California: Berkeley Electronic Press
-
S.GruberM.J.van der Laan (2009). Targeted maximum likelihood estimation: A gentle introduction(U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 252)Berkeley California: Berkeley Electronic Press.
-
(2009)
Targeted maximum likelihood estimation: A gentle introduction
-
-
Gruber, S.1
van der Laan, M.J.2
-
22
-
-
85020723922
-
Estimation of causal effects of binary treatments in unconfounded studies with one continuous covariate
-
10.1177/0962280215570722
-
R.GutmanD.B.Rubin (2015). Estimation of causal effects of binary treatments in unconfounded studies with one continuous covariate. Statistical Methods in Medical Research. 10.1177/0962280215570722
-
(2015)
Statistical Methods in Medical Research
-
-
Gutman, R.1
Rubin, D.B.2
-
23
-
-
0033839024
-
Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men
-
M.HernánB.BrumbackJ.Robins (2000). Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology, 11, 561–570.
-
(2000)
Epidemiology
, vol.11
, pp. 561-570
-
-
Hernán, M.1
Brumback, B.2
Robins, J.3
-
24
-
-
0345827892
-
Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies
-
10.1191/0962280204sm351ra
-
J.HoganT.Lancaster (2004). Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies. Statistical Methods in Medical Research, 13, 17–48. 10.1191/0962280204sm351ra
-
(2004)
Statistical Methods in Medical Research
, vol.13
, pp. 17-48
-
-
Hogan, J.1
Lancaster, T.2
-
26
-
-
0000250624
-
-
Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, California: University of California Press,,. In (Eds.),, (pp
-
P.Huber (1967). The behavior of maximum likelihood estimates under non-standard conditions. In (Eds.), Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability (pp. 221–233). Berkeley, California: University of California Press.
-
(1967)
The behavior of maximum likelihood estimates under non-standard conditions
, pp. 221-233
-
-
Huber, P.1
-
27
-
-
84856187945
-
Causal inference without balance checking: Coarsened exact matching
-
S.IacusG.KingG.Porro (2011). Causal inference without balance checking: Coarsened exact matching. Political Analysis, 20, 1–24.
-
(2011)
Political Analysis
, vol.20
, pp. 1-24
-
-
Iacus, S.1
King, G.2
Porro, G.3
-
29
-
-
84858195892
-
Military training and personality trait development: Does the military make the man, or does the man make the military?
-
10.1177/0956797611423545
-
J.JacksonF.ThoemmesK.JonkmannO.LüdtkeU.Trautwein (2012). Military training and personality trait development: Does the military make the man, or does the man make the military?Psychological Science, 23, 270–277. 10.1177/0956797611423545
-
(2012)
Psychological Science
, vol.23
, pp. 270-277
-
-
Jackson, J.1
Thoemmes, F.2
Jonkmann, K.3
Lüdtke, O.4
Trautwein, U.5
-
30
-
-
84895148962
-
Personality traits and living arrangements in young adulthood: Selection and socialization
-
K.JonkmannF.ThoemmesO.LüdtkeU.Trautwein (2014). Personality traits and living arrangements in young adulthood: Selection and socialization. Developmental Psychology, 50, 683–698.
-
(2014)
Developmental Psychology
, vol.50
, pp. 683-698
-
-
Jonkmann, K.1
Thoemmes, F.2
Lüdtke, O.3
Trautwein, U.4
-
31
-
-
46249131752
-
Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data
-
J.KangJ.Schafer (2007). Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data. Statistical Science, 22, 523–539.
-
(2007)
Statistical Science
, vol.22
, pp. 523-539
-
-
Kang, J.1
Schafer, J.2
-
32
-
-
31344479653
-
The dangers of extreme counterfactuals
-
10.1093/pan/mpj004
-
G.KingL.Zeng (2006). The dangers of extreme counterfactuals. Political Analysis, 14, 131–159. 10.1093/pan/mpj004
-
(2006)
Political Analysis
, vol.14
, pp. 131-159
-
-
King, G.1
Zeng, L.2
-
33
-
-
74749097452
-
Improving propensity score weighting using machine learning
-
10.1002/sim.3782
-
B.LeeJ.LesslerE.Stuart (2010). Improving propensity score weighting using machine learning. Statistics in Medicine, 29, 337–346. 10.1002/sim.3782
-
(2010)
Statistics in Medicine
, vol.29
, pp. 337-346
-
-
Lee, B.1
Lessler, J.2
Stuart, E.3
-
34
-
-
28444464482
-
Propensity scores: An introduction and experimental test
-
10.1177/0193841x05275596
-
J.LuellenW.ShadishM.Clark (2005). Propensity scores: An introduction and experimental test. Evaluation Review, 29, 530–558. 10.1177/0193841x05275596
-
(2005)
Evaluation Review
, vol.29
, pp. 530-558
-
-
Luellen, J.1
Shadish, W.2
Clark, M.3
-
35
-
-
10844272276
-
Propensity score estimation with boosted regression for evaluating causal effects in observational studies
-
D.McCaffreyG.RidgewayA.Morral (2004). Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychological Methods, 9, 403–425.
-
(2004)
Psychological Methods
, vol.9
, pp. 403-425
-
-
McCaffrey, D.1
Ridgeway, G.2
Morral, A.3
-
36
-
-
84899011648
-
Graphical models for inference with missing data
-
Red Hook, NY: Curran Associates,,. In (Eds.),, (pp
-
K.MohanJ.PearlJ.Tian (2013). Graphical models for inference with missing data. In (Eds.), Advances in Neural Information Processing Systems (pp. 1277–1285). Red Hook, NY: Curran Associates.
-
(2013)
Advances in Neural Information Processing Systems
, pp. 1277-1285
-
-
Mohan, K.1
Pearl, J.2
Tian, J.3
-
37
-
-
67549105887
-
Letter to the editor: Remarks on the method of propensity score
-
J.Pearl (2009). Letter to the editor: Remarks on the method of propensity score. Statistics in Medicine, 28, 1415–1424.
-
(2009)
Statistics in Medicine
, vol.28
, pp. 1415-1424
-
-
Pearl, J.1
-
38
-
-
46149139403
-
A new approach to causal inference in mortality studies with a sustained exposure period—Application to control of the healthy worker survivor effect
-
J.Robins (1986). A new approach to causal inference in mortality studies with a sustained exposure period—Application to control of the healthy worker survivor effect. Mathematical Modelling, 7, 1393–1512.
-
(1986)
Mathematical Modelling
, vol.7
, pp. 1393-1512
-
-
Robins, J.1
-
39
-
-
0033847784
-
Marginal structural models and causal inference in epidemiology
-
J.RobinsM.HernánB.Brumback (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11, 550–560.
-
(2000)
Epidemiology
, vol.11
, pp. 550-560
-
-
Robins, J.1
Hernán, M.2
Brumback, B.3
-
40
-
-
0001198982
-
The consquences of adjustment for a concomitant variable that has been affected by the treatment
-
10.2307/2981697
-
P.Rosenbaum (1984). The consquences of adjustment for a concomitant variable that has been affected by the treatment. Journal of the Royal Statistical Society: Series A (General), 147, 656–666. 10.2307/2981697
-
(1984)
Journal of the Royal Statistical Society: Series A (General)
, vol.147
, pp. 656-666
-
-
Rosenbaum, P.1
-
42
-
-
77951622706
-
The central role of the propensity score in observational studies for causal effects
-
10.1093/biomet/70.1.41
-
P.RosenbaumD.Rubin (1983b). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41–55. 10.1093/biomet/70.1.41
-
(1983)
Biometrika
, vol.70
, pp. 41-55
-
-
Rosenbaum, P.1
Rubin, D.2
-
43
-
-
85144841000
-
Using multivariate matched sampling and regression adjustment to control bias in observational studies
-
D.Rubin (1979). Using multivariate matched sampling and regression adjustment to control bias in observational studies. Journal of the American Statistical Association, 74, 318–328.
-
(1979)
Journal of the American Statistical Association
, vol.74
, pp. 318-328
-
-
Rubin, D.1
-
44
-
-
0035761763
-
Using propensity scores to help design observational studies: Application to the tobacco litigation
-
D.Rubin (2001). Using propensity scores to help design observational studies: Application to the tobacco litigation. Health Services and Outcomes Research Methodology, 2, 169–188.
-
(2001)
Health Services and Outcomes Research Methodology
, vol.2
, pp. 169-188
-
-
Rubin, D.1
-
46
-
-
57749105474
-
Average causal effects from nonrandomized studies: A practical guide and simulated example
-
J.SchaferJ.Kang (2008). Average causal effects from nonrandomized studies: A practical guide and simulated example. Psychological Methods, 13, 279.
-
(2008)
Psychological Methods
, vol.13
, pp. 279
-
-
Schafer, J.1
Kang, J.2
-
47
-
-
79961226937
-
Multivariate and propensity score matching software with automated balance optimization: The matching package for R
-
J.Sekhon (2011). Multivariate and propensity score matching software with automated balance optimization: The matching package for R. Journal of Statistical Software, 42, 1–52.
-
(2011)
Journal of Statistical Software
, vol.42
, pp. 1-52
-
-
Sekhon, J.1
-
48
-
-
67549095644
-
Propensity scores and m-structures
-
A.Sjölander (2009). Propensity scores and m-structures. Statistics in Medicine, 28, 1416–1420.
-
(2009)
Statistics in Medicine
, vol.28
, pp. 1416-1420
-
-
Sjölander, A.1
-
49
-
-
40949090705
-
G-estimation of causal effects, allowing for time-varying confounding
-
J.SterneK.Tilling (2002). G-estimation of causal effects, allowing for time-varying confounding. Stata Journal, 2, 164–182.
-
(2002)
Stata Journal
, vol.2
, pp. 164-182
-
-
Sterne, J.1
Tilling, K.2
-
50
-
-
77957806232
-
Matching methods for causal inference: A review and a look forward
-
E.Stuart (2010). Matching methods for causal inference: A review and a look forward. Statistical Science, 25, 1–21.
-
(2010)
Statistical Science
, vol.25
, pp. 1-21
-
-
Stuart, E.1
-
52
-
-
79951805837
-
A systematic review of propensity score methods in the social sciences
-
10.1080/00273171.2011.540475
-
F.ThoemmesE.-S.Kim (2011). A systematic review of propensity score methods in the social sciences. Multivariate Behavioral Research, 46, 90–118. 10.1080/00273171.2011.540475
-
(2011)
Multivariate Behavioral Research
, vol.46
, pp. 90-118
-
-
Thoemmes, F.1
Kim, E.-S.2
-
54
-
-
84907470143
-
A cautious note on auxiliary variables that can increase bias in missing data problems
-
F.ThoemmesN.Rose (2014). A cautious note on auxiliary variables that can increase bias in missing data problems. Multivariate Behavioral Research, 49, 443–459.
-
(2014)
Multivariate Behavioral Research
, vol.49
, pp. 443-459
-
-
Thoemmes, F.1
Rose, N.2
-
57
-
-
43749091286
-
Sensitivity analysis: Distributional assumptions and confounding assumptions
-
T.VanderWeele (2008). Sensitivity analysis: Distributional assumptions and confounding assumptions. Biometrics, 64, 645–649.
-
(2008)
Biometrics
, vol.64
, pp. 645-649
-
-
VanderWeele, T.1
-
58
-
-
78650778119
-
Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders
-
T.VanderWeeleO.A.Arah (2011). Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders. Epidemiology (Cambridge, Mass.), 22, 42–52.
-
(2011)
Epidemiology (Cambridge, Mass.)
, vol.22
, pp. 42-52
-
-
VanderWeele, T.1
Arah, O.A.2
-
60
-
-
84998630701
-
On regression adjustment for the propensity score
-
S.VansteelandtR.Daniel (2014). On regression adjustment for the propensity score. Statistics in Medicine, 33, 4053–4072.
-
(2014)
Statistics in Medicine
, vol.33
, pp. 4053-4072
-
-
Vansteelandt, S.1
Daniel, R.2
-
61
-
-
0033632192
-
Two years after a job loss: Long-term impact of the JOBS program on reemployment and mental health
-
A.VinokurY.SchulJ.VuoriR.Price (2000). Two years after a job loss: Long-term impact of the JOBS program on reemployment and mental health. Journal of Occupational Health Psychology, 5, 32–47.
-
(2000)
Journal of Occupational Health Psychology
, vol.5
, pp. 32-47
-
-
Vinokur, A.1
Schul, Y.2
Vuori, J.3
Price, R.4
-
62
-
-
48749132461
-
Equating groups
-
London, England: Sage,,. In (Eds.),, (pp
-
S.G.WestF.Thoemmes (2008). Equating groups. In (Eds.), The SAGE handbook of social research methods (pp. 414–430). London, England: Sage.
-
(2008)
The SAGE handbook of social research methods
, pp. 414-430
-
-
West, S.G.1
Thoemmes, F.2
-
63
-
-
77953607621
-
Propensity score estimation: Neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression
-
D.WestreichJ.LesslerM.Jonsson Funk (2010). Propensity score estimation: Neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression. Journal of Clinical Epidemiology, 63, 826–833.
-
(2010)
Journal of Clinical Epidemiology
, vol.63
, pp. 826-833
-
-
Westreich, D.1
Lessler, J.2
Jonsson Funk, M.3
-
64
-
-
0000095552
-
A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity
-
H.White (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica: Journal of the Econometric Society, 48, 817–838.
-
(1980)
Econometrica: Journal of the Econometric Society
, vol.48
, pp. 817-838
-
-
White, H.1
-
65
-
-
84938746620
-
A boosting algorithm for estimating generalized propensity scores with continuous treatments
-
Y.ZhuD.L.CoffmanD.Ghosh (2015). A boosting algorithm for estimating generalized propensity scores with continuous treatments. Journal of Causal Inference, 3, 25–40.
-
(2015)
Journal of Causal Inference
, vol.3
, pp. 25-40
-
-
Zhu, Y.1
Coffman, D.L.2
Ghosh, D.3
|