-
1
-
-
34547682094
-
Mendelian randomization as an instrumental variable approach to causal inference
-
DOI: 10:1177/0962280206077743
-
Didelez V, Sheehan N. Mendelian randomization as an instrumental variable approach to causal inference. Statistical Methods in Medical Research 2007; 16(4):309-330. DOI: 10:1177/0962280206077743.
-
(2007)
Statistical Methods in Medical Research
, vol.16
, Issue.4
, pp. 309-330
-
-
Didelez, V.1
Sheehan, N.2
-
3
-
-
82655179692
-
On instrumental variables estimation of causal odds ratios
-
DOI: 10.1214/11-sts360
-
Vansteelandt S, Bowden J, Babanezhad M, Goetghebeur E. On instrumental variables estimation of causal odds ratios. Statistical Science 2011; 26(3):403-422. DOI: 10.1214/11-sts360.
-
(2011)
Statistical Science
, vol.26
, Issue.3
, pp. 403-422
-
-
Vansteelandt, S.1
Bowden, J.2
Babanezhad, M.3
Goetghebeur, E.4
-
4
-
-
0033853460
-
An introduction to instrumental variables for epidemiologists
-
DOI: 10.1093/ije/29.4.722
-
Greenland S. An introduction to instrumental variables for epidemiologists. International Journal of Epidemiology 2000; 29(4):722-729. DOI: 10.1093/ije/29.4.722.
-
(2000)
International Journal of Epidemiology
, vol.29
, Issue.4
, pp. 722-729
-
-
Greenland, S.1
-
5
-
-
33646809746
-
Instrumental variables: application and limitations
-
DOI: 10.1097/01.ede.0000215160.88317.cb
-
Martens E, Pestman W, de Boer A, Belitser S, Klungel O. Instrumental variables: application and limitations. Epidemiology 2006; 17(3):260-267. DOI: 10.1097/01.ede.0000215160.88317.cb.
-
(2006)
Epidemiology
, vol.17
, Issue.3
, pp. 260-267
-
-
Martens, E.1
Pestman, W.2
de Boer, A.3
Belitser, S.4
Klungel, O.5
-
6
-
-
0030914851
-
Econometric approaches to epidemiologic data: relating endogeneity and unobserved heterogeneity to confounding
-
DOI: 10.1016/s1047-2797(97)00023-9
-
Zohoori N, Savitz D. Econometric approaches to epidemiologic data: relating endogeneity and unobserved heterogeneity to confounding. Annals of Epidemiology 1997; 7(4):251-257. DOI: 10.1016/s1047-2797(97)00023-9.
-
(1997)
Annals of Epidemiology
, vol.7
, Issue.4
, pp. 251-257
-
-
Zohoori, N.1
Savitz, D.2
-
8
-
-
0037322022
-
'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?
-
DOI: 10.1093/ije/dyg070
-
Davey Smith G, Ebrahim S. 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease? International Journal of Epidemiology 2003; 32(1):1-22. DOI: 10.1093/ije/dyg070.
-
(2003)
International Journal of Epidemiology
, vol.32
, Issue.1
, pp. 1-22
-
-
Davey Smith, G.1
Ebrahim, S.2
-
9
-
-
63249089543
-
Mendelian randomization: how it can-and cannot-help confirm causal relations between nutrition and cancer
-
DOI: 10.1158/1940-6207.capr-08-0070
-
Schatzkin A, Abnet C, Cross A, Gunter M, Pfeiffer R, Gail M, Lim U, Davey Smith G. Mendelian randomization: how it can-and cannot-help confirm causal relations between nutrition and cancer. Cancer Prevention Research 2009; 2(2):104-113. DOI: 10.1158/1940-6207.capr-08-0070.
-
(2009)
Cancer Prevention Research
, vol.2
, Issue.2
, pp. 104-113
-
-
Schatzkin, A.1
Abnet, C.2
Cross, A.3
Gunter, M.4
Pfeiffer, R.5
Gail, M.6
Lim, U.7
Davey Smith, G.8
-
10
-
-
79952624880
-
Use of genetic markers and gene-diet interactions for interrogating population-level causal influences of diet on health
-
DOI: 10.1007/s12263-010-0181-y
-
Davey Smith G. Use of genetic markers and gene-diet interactions for interrogating population-level causal influences of diet on health. Genes & Nutrition 2010; 6(1):27-43. DOI: 10.1007/s12263-010-0181-y.
-
(2010)
Genes & Nutrition
, vol.6
, Issue.1
, pp. 27-43
-
-
Davey Smith, G.1
-
11
-
-
33645084282
-
Limits to causal inference based on Mendelian randomization: a comparison with randomized controlled trials
-
DOI: 10.1093/aje/kwj062
-
Nitsch D, Molokhia M, Smeeth L, DeStavola B, Whittaker J, Leon D. Limits to causal inference based on Mendelian randomization: a comparison with randomized controlled trials. American Journal of Epidemiology 2006; 163(5):397-403. DOI: 10.1093/aje/kwj062.
-
(2006)
American Journal of Epidemiology
, vol.163
, Issue.5
, pp. 397-403
-
-
Nitsch, D.1
Molokhia, M.2
Smeeth, L.3
DeStavola, B.4
Whittaker, J.5
Leon, D.6
-
12
-
-
73449130797
-
C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis
-
Emerging Risk Factors Collaboration. DOI: 10.1016/S0140-6736(09)61717-7
-
Emerging Risk Factors Collaboration. C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis. The Lancet 2010; 375(9709):132-140. DOI: 10.1016/S0140-6736(09)61717-7.
-
(2010)
The Lancet
, vol.375
, Issue.9709
, pp. 132-140
-
-
-
13
-
-
79951990503
-
Association between C reactive protein and coronary heart disease: Mendelian randomisation analysis based on individual participant data
-
CRP CHD Genetics Collaboration. DOI: 10.1136/bmj.d548
-
CRP CHD Genetics Collaboration. Association between C reactive protein and coronary heart disease: Mendelian randomisation analysis based on individual participant data. British Medical Journal 2011; 342:d548. DOI: 10.1136/bmj.d548.
-
(2011)
British Medical Journal
, vol.342
-
-
-
14
-
-
0002864224
-
Confounding and collapsibility in causal inference
-
DOI: 10.1214/ss/1009211805
-
Greenland S, Robins J, Pearl J. Confounding and collapsibility in causal inference. Statistical Science 1999; 14(1):29-46. DOI: 10.1214/ss/1009211805.
-
(1999)
Statistical Science
, vol.14
, Issue.1
, pp. 29-46
-
-
Greenland, S.1
Robins, J.2
Pearl, J.3
-
16
-
-
0001152483
-
Collapsibility of relative risk in contingency tables with a response variable
-
Geng Z. Collapsibility of relative risk in contingency tables with a response variable. Journal of the Royal Statistical Society: Series B (Methodological) 1992; 54(2):585-593.
-
(1992)
Journal of the Royal Statistical Society: Series B (Methodological)
, vol.54
, Issue.2
, pp. 585-593
-
-
Geng, Z.1
-
18
-
-
0031777876
-
Should we adjust for covariates in nonlinear regression analyses of randomized trials?
-
DOI: 10.1016/S0197-2456(97)00147-5
-
Hauck W, Anderson S, Marcus S. Should we adjust for covariates in nonlinear regression analyses of randomized trials? Controlled Clinical Trials 1998; 19(3):249-256. DOI: 10.1016/S0197-2456(97)00147-5.
-
(1998)
Controlled Clinical Trials
, vol.19
, Issue.3
, pp. 249-256
-
-
Hauck, W.1
Anderson, S.2
Marcus, S.3
-
19
-
-
53349140946
-
Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses
-
DOI: 10.1093/ije/dyn080
-
Palmer T, Thompson J, Tobin M, Sheehan N, Burton P. Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses. International Journal of Epidemiology 2008; 37(5):1161-1168. DOI: 10.1093/ije/dyn080.
-
(2008)
International Journal of Epidemiology
, vol.37
, Issue.5
, pp. 1161-1168
-
-
Palmer, T.1
Thompson, J.2
Tobin, M.3
Sheehan, N.4
Burton, P.5
-
20
-
-
0036679398
-
Influence diagrams for causal modelling and inference
-
DOI: 10.1111/j.1751-5823.2002.tb00354.x
-
Dawid A. Influence diagrams for causal modelling and inference. International Statistical Review 2007; 70(2):161-189. DOI: 10.1111/j.1751-5823.2002.tb00354.x.
-
(2007)
International Statistical Review
, vol.70
, Issue.2
, pp. 161-189
-
-
Dawid, A.1
-
22
-
-
77956888769
-
Causal diagrams for empirical research
-
DOI: 10.1093/biomet/82.4.669
-
Pearl J. Causal diagrams for empirical research. Biometrika 1995; 82(4):669-688. DOI: 10.1093/biomet/82.4.669.
-
(1995)
Biometrika
, vol.82
, Issue.4
, pp. 669-688
-
-
Pearl, J.1
-
23
-
-
0023203943
-
Interpretation and choice of effect measures in epidemiologic analyses
-
Greenland S. Interpretation and choice of effect measures in epidemiologic analyses. American Journal of Epidemiology 1987; 125(5):761-768.
-
(1987)
American Journal of Epidemiology
, vol.125
, Issue.5
, pp. 761-768
-
-
Greenland, S.1
-
24
-
-
77952559340
-
Marginal and nested structural models using instrumental variables
-
DOI: 10.1198/jasa.2009.tm08299
-
Tan Z.Marginal and nested structural models using instrumental variables. Journal of the American Statistical Association 2010; 105(489):157-169. DOI: 10.1198/jasa.2009.tm08299.
-
(2010)
Journal of the American Statistical Association
, vol.105
, Issue.489
, pp. 157-169
-
-
Tan, Z.1
-
25
-
-
0024205301
-
Models for longitudinal data: a generalized estimating equation approach
-
Zeger S, Liang K, Albert P. Models for longitudinal data: a generalized estimating equation approach. Biometrics 1988; 44(4):1049-1060.
-
(1988)
Biometrics
, vol.44
, Issue.4
, pp. 1049-1060
-
-
Zeger, S.1
Liang, K.2
Albert, P.3
-
26
-
-
3843072366
-
Model-based estimation of relative risks and other epidemiologic measures in studies of common outcomes and in case-control studies
-
DOI: 10.1093/aje/kwh221
-
Greenland S. Model-based estimation of relative risks and other epidemiologic measures in studies of common outcomes and in case-control studies. American Journal of Epidemiology 2004; 160(4):301-305. DOI: 10.1093/aje/kwh221.
-
(2004)
American Journal of Epidemiology
, vol.160
, Issue.4
, pp. 301-305
-
-
Greenland, S.1
-
27
-
-
0036679398
-
Influence diagrams for causal modelling and inference
-
DOI: 10.1111/j.1751-5823.2002.tb00354.x
-
Dawid A. Influence diagrams for causal modelling and inference. International Statistical Review 2002; 70(2):161-189. DOI: 10.1111/j.1751-5823.2002.tb00354.x.
-
(2002)
International Statistical Review
, vol.70
, Issue.2
, pp. 161-189
-
-
Dawid, A.1
-
28
-
-
77956222270
-
-
10/239, Centre for Market and Public Organisation, University of Bristol, UK
-
Clarke P, Windmeijer F. Instrumental variable estimators for binary outcomes. 10/239, Centre for Market and Public Organisation, University of Bristol, UK, 2010.
-
(2010)
Instrumental variable estimators for binary outcomes
-
-
Clarke, P.1
Windmeijer, F.2
-
29
-
-
77957778209
-
Assumptions of IV methods for observational epidemiology
-
DOI: 10.1214/09-sts316
-
Didelez V, Meng S, Sheehan N. Assumptions of IV methods for observational epidemiology. Statistical Science 2010; 25(1):22-40. DOI: 10.1214/09-sts316.
-
(2010)
Statistical Science
, vol.25
, Issue.1
, pp. 22-40
-
-
Didelez, V.1
Meng, S.2
Sheehan, N.3
-
30
-
-
0001294645
-
The fitting of straight lines if both variables are subject to error
-
Wald A. The fitting of straight lines if both variables are subject to error. Annals of Mathematical Statistics 1940; 11(3):284-300.
-
(1940)
Annals of Mathematical Statistics
, vol.11
, Issue.3
, pp. 284-300
-
-
Wald, A.1
-
31
-
-
0034546907
-
The interpretation of instrumental variables estimators in simultaneous equations models with an application to the demand for fish
-
DOI: 10.1111/1467-937x.00141
-
Angrist J, Graddy K, Imbens G. The interpretation of instrumental variables estimators in simultaneous equations models with an application to the demand for fish. Review of Economic Studies 2000; 67(3):499-527. DOI: 10.1111/1467-937x.00141.
-
(2000)
Review of Economic Studies
, vol.67
, Issue.3
, pp. 499-527
-
-
Angrist, J.1
Graddy, K.2
Imbens, G.3
-
32
-
-
84873158720
-
-
10/229, Department of Economics, University of Bristol, UK
-
von Hinke Kessler Scholder S, Davey Smith G, Lawlor D, Propper C, Windmeijer F. Genetic markers as instrumental variables: an application to child fat mass and academic achievement. 10/229, Department of Economics, University of Bristol, UK, 2010.
-
(2010)
Genetic markers as instrumental variables: an application to child fat mass and academic achievement
-
-
von Hinke Kessler Scholder, S.1
Davey Smith, G.2
Lawlor, D.3
Propper, C.4
Windmeijer, F.5
-
33
-
-
1942539239
-
Commentary: Development of Mendelian randomization: from hypothesis test to 'Mendelian deconfounding'
-
DOI: 10.1093/ije/dyh016
-
Tobin M, Minelli C, Burton P, Thompson J. Commentary: Development of Mendelian randomization: from hypothesis test to 'Mendelian deconfounding'. International Journal of Epidemiology 2004; 33(1):26-29. DOI: 10.1093/ije/dyh016.
-
(2004)
International Journal of Epidemiology
, vol.33
, Issue.1
, pp. 26-29
-
-
Tobin, M.1
Minelli, C.2
Burton, P.3
Thompson, J.4
-
34
-
-
21844466219
-
Meta-analysis of genetic studies usingMendelian randomization-a multivariate approach
-
DOI: 10.1002/sim.2100
-
Thompson J, Minelli C, Abrams K, Tobin M, Riley R. Meta-analysis of genetic studies usingMendelian randomization-a multivariate approach. Statistics in Medicine 2005; 24(14):2241-2254. DOI: 10.1002/sim.2100.
-
(2005)
Statistics in Medicine
, vol.24
, Issue.14
, pp. 2241-2254
-
-
Thompson, J.1
Minelli, C.2
Abrams, K.3
Tobin, M.4
Riley, R.5
-
35
-
-
79958821064
-
Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses
-
DOI: 10.1093/aje/kwr026
-
Palmer T, Sterne J, Harbord R, Lawlor D, Sheehan N, Meng S, Granell R, Davey Smith G, Didelez V. Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses. American Journal of Epidemiology 2011; 173(12):1392-1403. DOI: 10.1093/aje/kwr026.
-
(2011)
American Journal of Epidemiology
, vol.173
, Issue.12
, pp. 1392-1403
-
-
Palmer, T.1
Sterne, J.2
Harbord, R.3
Lawlor, D.4
Sheehan, N.5
Meng, S.6
Granell, R.7
Davey Smith, G.8
Didelez, V.9
-
36
-
-
40849083720
-
Mendelian randomization: using genes as instruments for making causal inferences in epidemiology
-
DOI: 10.1002/sim.3034
-
Lawlor D, Harbord R, Sterne J, Timpson N, Davey Smith G. Mendelian randomization: using genes as instruments for making causal inferences in epidemiology. Statistics in Medicine 2008; 27(8):1133-1163. DOI: 10.1002/sim.3034.
-
(2008)
Statistics in Medicine
, vol.27
, Issue.8
, pp. 1133-1163
-
-
Lawlor, D.1
Harbord, R.2
Sterne, J.3
Timpson, N.4
Davey Smith, G.5
-
39
-
-
59649102811
-
Instrumental variable analysis for estimation of treatment effects with dichotomous outcomes
-
DOI: 10.1093/aje/kwn299
-
Rassen J, Schneeweiss S, Glynn R, Mittleman M, Brookhart M. Instrumental variable analysis for estimation of treatment effects with dichotomous outcomes. American Journal of Epidemiology 2009; 169(3):273-284. DOI: 10.1093/aje/kwn299.
-
(2009)
American Journal of Epidemiology
, vol.169
, Issue.3
, pp. 273-284
-
-
Rassen, J.1
Schneeweiss, S.2
Glynn, R.3
Mittleman, M.4
Brookhart, M.5
-
40
-
-
0010462970
-
Instrumental variables for logistic regression: an illustration
-
DOI: 10.1006/ssre.1997.0606
-
Foster E. Instrumental variables for logistic regression: an illustration. Social Science Research 1997; 26(4):487-504. DOI: 10.1006/ssre.1997.0606.
-
(1997)
Social Science Research
, vol.26
, Issue.4
, pp. 487-504
-
-
Foster, E.1
-
41
-
-
43549116852
-
Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling
-
DOI: 10.1016/j.jhealeco.2007.09.009
-
Terza J, Basu A, Rathouz P. Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling. Journal of Health Economics 2008; 27(3):531-543. DOI: 10.1016/j.jhealeco.2007.09.009.
-
(2008)
Journal of Health Economics
, vol.27
, Issue.3
, pp. 531-543
-
-
Terza, J.1
Basu, A.2
Rathouz, P.3
-
42
-
-
79958753488
-
Two-stage instrumental variable methods for estimating the causal odds ratio: analysis of bias
-
DOI: 10.1002/sim.4241
-
Cai B, Small D, Ten Have T. Two-stage instrumental variable methods for estimating the causal odds ratio: analysis of bias. Statistics in Medicine 2011; 30(15):1809-1824. DOI: 10.1002/sim.4241.
-
(2011)
Statistics in Medicine
, vol.30
, Issue.15
, pp. 1809-1824
-
-
Cai, B.1
Small, D.2
Ten Have, T.3
-
44
-
-
0034734141
-
Estimating treatment effects in randomized clinical trials in the presence of non-compliance
-
Nagelkerke N, Fidler V, Bernsen R, Borgdorff M. Estimating treatment effects in randomized clinical trials in the presence of non-compliance. Statistics in Medicine 2000; 19(14):1849-1864.
-
(2000)
Statistics in Medicine
, vol.19
, Issue.14
, pp. 1849-1864
-
-
Nagelkerke, N.1
Fidler, V.2
Bernsen, R.3
Borgdorff, M.4
-
45
-
-
77950910251
-
Usefulness of Mendelian randomization in observational epidemiology
-
DOI: 10.3390/ijerph7030711
-
Bochud M, Rousson V. Usefulness of Mendelian randomization in observational epidemiology. International Journal of Environmental Research and Public Health 2010; 7(3):711-728. DOI: 10.3390/ijerph7030711.
-
(2010)
International Journal of Environmental Research and Public Health
, vol.7
, Issue.3
, pp. 711-728
-
-
Bochud, M.1
Rousson, V.2
-
46
-
-
0037108044
-
The role of covariates in estimating treatment effects and risk in long-term clinical trials
-
DOI: 10.1002/sim.1294
-
Ford I, Norrie J. The role of covariates in estimating treatment effects and risk in long-term clinical trials. Statistics in Medicine 2002; 21(19):2899-2908. DOI: 10.1002/sim.1294.
-
(2002)
Statistics in Medicine
, vol.21
, Issue.19
, pp. 2899-2908
-
-
Ford, I.1
Norrie, J.2
-
47
-
-
79951693616
-
Mendelian randomisation analysis of case-control data using structural mean models
-
DOI: 10.1002/sim.4138
-
Bowden J, Vansteelandt S. Mendelian randomisation analysis of case-control data using structural mean models. Statistics in Medicine 2011; 30(6):678-694. DOI: 10.1002/sim.4138.
-
(2011)
Statistics in Medicine
, vol.30
, Issue.6
, pp. 678-694
-
-
Bowden, J.1
Vansteelandt, S.2
-
48
-
-
84872042939
-
Use of Mendelian randomisation to assess potential benefit of clinical intervention
-
DOI: 10.1136/bmj.e7325
-
Burgess S, Butterworth A, Malarstig A, Thompson S. Use of Mendelian randomisation to assess potential benefit of clinical intervention. British Medical Journal 2012; 345:e7325. DOI: 10.1136/bmj.e7325.
-
(2012)
British Medical Journal
, vol.345
-
-
Burgess, S.1
Butterworth, A.2
Malarstig, A.3
Thompson, S.4
-
49
-
-
84874962114
-
Severity of bias of a simple estimator of the causal odds ratio in Mendelian randomization studies
-
DOI: 10.1002/sim.5659
-
Harbord R, Didelez V, Palmer T, Meng S, Sterne J, Sheehan N. Severity of bias of a simple estimator of the causal odds ratio in Mendelian randomization studies. Statistics in Medicine 2012; 32(7):1246-1258. DOI: 10.1002/sim.5659.
-
(2012)
Statistics in Medicine
, vol.32
, Issue.7
, pp. 1246-1258
-
-
Harbord, R.1
Didelez, V.2
Palmer, T.3
Meng, S.4
Sterne, J.5
Sheehan, N.6
-
50
-
-
77949408623
-
Estimators and confidence intervals for the marginal odds ratio using logistic regression and propensity score stratification
-
DOI: 10.1002/sim.3811
-
Stampf S, Graf E, Schmoor C, Schumacher M. Estimators and confidence intervals for the marginal odds ratio using logistic regression and propensity score stratification. Statistics in Medicine 2010; 29(7-8):760-769. DOI: 10.1002/sim.3811.
-
(2010)
Statistics in Medicine
, vol.29
, Issue.7-8
, pp. 760-769
-
-
Stampf, S.1
Graf, E.2
Schmoor, C.3
Schumacher, M.4
-
51
-
-
33846436128
-
Analysis of observational studies in the presence of treatment selection bias
-
DOI: 10.1001/jama.297.3.278
-
Stukel T, Fisher E, Wennberg D, Alter D, Gottlieb D, Vermeulen M. Analysis of observational studies in the presence of treatment selection bias. Journal of the American Medical Association 2007; 297(3):278-285. DOI: 10.1001/jama.297.3.278.
-
(2007)
Journal of the American Medical Association
, vol.297
, Issue.3
, pp. 278-285
-
-
Stukel, T.1
Fisher, E.2
Wennberg, D.3
Alter, D.4
Gottlieb, D.5
Vermeulen, M.6
-
52
-
-
0000029731
-
Some surprising results about covariate adjustment in logistic regression models
-
Robinson L, Jewell N. Some surprising results about covariate adjustment in logistic regression models. International Statistical Review 1991; 59(2):227-240.
-
(1991)
International Statistical Review
, vol.59
, Issue.2
, pp. 227-240
-
-
Robinson, L.1
Jewell, N.2
-
53
-
-
0034069039
-
Clinical trials in acute myocardial infarction: should we adjust for baseline characteristics?
-
Steyerberg E, Bossuyt P, Lee K. Clinical trials in acute myocardial infarction: should we adjust for baseline characteristics? American Heart Journal 2000; 139(5):745-751.
-
(2000)
American Heart Journal
, vol.139
, Issue.5
, pp. 745-751
-
-
Steyerberg, E.1
Bossuyt, P.2
Lee, K.3
-
54
-
-
77956891487
-
Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
-
Gail M,Wieand S, Piantadosi S. Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates. Biometrika 1984; 71(3):431-444.
-
(1984)
Biometrika
, vol.71
, Issue.3
, pp. 431-444
-
-
Gail, M.1
Wieand, S.2
Piantadosi, S.3
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55
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84901931665
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Elsevier: Amsterdam, Netherlands
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Hausman J. Handbook of Econometrics, Vol. 1. Elsevier: Amsterdam, Netherlands, 1983. See footnote 60.
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(1983)
Handbook of Econometrics
, vol.1
, pp. 60
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Hausman, J.1
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