-
1
-
-
0037322022
-
Mendelian randomization: can genetic epidemiology contribute to understanding environmental determinants of disease
-
Davey Smith G, Ebrahim S. Mendelian randomization: can genetic epidemiology contribute to understanding environmental determinants of disease International Journal of Epidemiology 2003; 32:1–22.
-
(2003)
International Journal of Epidemiology
, vol.32
, pp. 1-22
-
-
Davey Smith, G.1
Ebrahim, S.2
-
2
-
-
84906838227
-
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
-
Davey Smith G, Hemani G. Mendelian randomization: genetic anchors for causal inference in epidemiological studies. Human Molecular Genetics 2014; 23:89–98.
-
(2014)
Human Molecular Genetics
, vol.23
, pp. 89-98
-
-
Davey Smith, G.1
Hemani, G.2
-
3
-
-
84871969762
-
Large-scale association analysis identifies new risk loci for coronary artery disease
-
CARDIoGRAMplusC4D. Large-scale association analysis identifies new risk loci for coronary artery disease. Nature Genetics 2003; 45:25–33.
-
(2003)
Nature Genetics
, vol.45
, pp. 25-33
-
-
-
4
-
-
84887099827
-
Discovery and refinement of loci associated with lipid levels
-
Global Lipids Genetics Consortium. Discovery and refinement of loci associated with lipid levels. Nature Genetics 2013; 45:1274–1283.
-
(2013)
Nature Genetics
, vol.45
, pp. 1274-1283
-
-
-
5
-
-
84884973036
-
Efficient design for Mendelian randomization studies: subsample and two-sample instrumental variable estimators
-
Pierce B, Burgess S. Efficient design for Mendelian randomization studies: subsample and two-sample instrumental variable estimators. American Journal of Epidemiology 2013; 178:1177–1184.
-
(2013)
American Journal of Epidemiology
, vol.178
, pp. 1177-1184
-
-
Pierce, B.1
Burgess, S.2
-
6
-
-
84885840876
-
Mendelian randomization analysis with multiple genetic variants using summarized data
-
Burgess S, Butterworth A, Thompson SG. Mendelian randomization analysis with multiple genetic variants using summarized data. Genetic Epidemiology 2013; 37:658–665.
-
(2013)
Genetic Epidemiology
, vol.37
, pp. 658-665
-
-
Burgess, S.1
Butterworth, A.2
Thompson, S.G.3
-
7
-
-
78951491095
-
One hundred years of pleiotropy: a retrospective
-
Stearns FW. One hundred years of pleiotropy: a retrospective. Genetics 2010; 186:767–773.
-
(2010)
Genetics
, vol.186
, pp. 767-773
-
-
Stearns, F.W.1
-
8
-
-
84969752467
-
Instrumental variables estimation with some invalid instruments, and its application to Mendelian randomisation
-
Kang H, Zhang A, Cai T, Small D. Instrumental variables estimation with some invalid instruments, and its application to Mendelian randomisation. Journal of the American Statistical Association 2016; 111:132–144.
-
(2016)
Journal of the American Statistical Association
, vol.111
, pp. 132-144
-
-
Kang, H.1
Zhang, A.2
Cai, T.3
Small, D.4
-
9
-
-
84936755918
-
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
-
Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. International Journal of Epidemiology 2015; 44:512–525.
-
(2015)
International Journal of Epidemiology
, vol.44
, pp. 512-525
-
-
Bowden, J.1
Davey Smith, G.2
Burgess, S.3
-
10
-
-
84963670568
-
Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator
-
Bowden J, Davey Smith G, Haycock PC, Burgess S. Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genetic Epidemiology 2016; 40:304–314.
-
(2016)
Genetic Epidemiology
, vol.40
, pp. 304-314
-
-
Bowden, J.1
Davey Smith, G.2
Haycock, P.C.3
Burgess, S.4
-
11
-
-
84963671643
-
-
Technical report, University of Bristol
-
Windmeijer F, Farbmacher H, Davies N, Davey Smith G, White IR. Selecting (in) valid instruments for instrumental variables estimation. Technical report, University of Bristol, 2015.
-
(2015)
Selecting (in) valid instruments for instrumental variables estimation
-
-
Windmeijer, F.1
Farbmacher, H.2
Davies, N.3
Davey Smith, G.4
White, I.R.5
-
12
-
-
84936778645
-
-
Technical report, The Comprehensive R Archive Network, 2013, [last accessed 2014/11/19]
-
Johnson T. Efficient calculation for multi-SNP genetic risk scores. Technical report, The Comprehensive R Archive Network, 2013 Available at http://cran.r-project.org/web/packages/gtx/vignettes/ashg2012.pdf [last accessed 2014/11/19].
-
Efficient calculation for multi-SNP genetic risk scores
-
-
Johnson, T.1
-
13
-
-
0030922816
-
Bias in meta-analysis detected by a simple, graphical test
-
Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. British Medical Journal 1997; 315:629–634.
-
(1997)
British Medical Journal
, vol.315
, pp. 629-634
-
-
Egger, M.1
Davey Smith, G.2
Schneider, M.3
Minder, C.4
-
14
-
-
78650636780
-
Treatment-effect estimates adjusted for small study effects via a limit meta-analysis
-
Rücker G, Schwarzer G, Carpenter J, Binder H, Schumacher M. Treatment-effect estimates adjusted for small study effects via a limit meta-analysis. Biostatistics 2011; 12:122–142.
-
(2011)
Biostatistics
, vol.12
, pp. 122-142
-
-
Rücker, G.1
Schwarzer, G.2
Carpenter, J.3
Binder, H.4
Schumacher, M.5
-
15
-
-
78649676690
-
Confidence intervals for random effects meta-analysis and robustness to publication bias
-
Henmi M, Copas JB. Confidence intervals for random effects meta-analysis and robustness to publication bias. Statistics in Medicine 2010; 29:2969–2983.
-
(2010)
Statistics in Medicine
, vol.29
, pp. 2969-2983
-
-
Henmi, M.1
Copas, J.B.2
-
16
-
-
84938292262
-
Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome
-
Del Greco FM, Minelli C, Sheehan NA, Thompson JR. Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome. Statistics in Medicine 2015; 34:2926–2940.
-
(2015)
Statistics in Medicine
, vol.34
, pp. 2926-2940
-
-
Del Greco, F.M.1
Minelli, C.2
Sheehan, N.A.3
Thompson, J.R.4
-
18
-
-
84891635309
-
-
NBER Working Paper 17519, National Bureau of Economic Research
-
Kolesar M, Chetty R, Friedman F, Glaeser E, Imbens G. Identification and inference with many invalid instruments. NBER Working Paper 17519, National Bureau of Economic Research, 2014.
-
(2014)
Identification and inference with many invalid instruments.
-
-
Kolesar, M.1
Chetty, R.2
Friedman, F.3
Glaeser, E.4
Imbens, G.5
-
21
-
-
0033619529
-
Explaining heterogeneity in meta-analysis: a comparison of methods
-
Thompson SG, Sharp S. Explaining heterogeneity in meta-analysis: a comparison of methods. Statistics in Medicine 1999; 18:2693–2708.
-
(1999)
Statistics in Medicine
, vol.18
, pp. 2693-2708
-
-
Thompson, S.G.1
Sharp, S.2
-
22
-
-
84892476509
-
Meta-analysis inside and outside particle physics: two traditions that should converge
-
Baker R, Jackson D. Meta-analysis inside and outside particle physics: two traditions that should converge Research Synthesis Methods 2013; 4:109–124.
-
(2013)
Research Synthesis Methods
, vol.4
, pp. 109-124
-
-
Baker, R.1
Jackson, D.2
-
23
-
-
0030298757
-
Testimation in regression parameter estimation
-
Rahman M, Gokhale DV. Testimation in regression parameter estimation. Biometrical Journal 1996; 38:809–817.
-
(1996)
Biometrical Journal
, vol.38
, pp. 809-817
-
-
Rahman, M.1
Gokhale, D.V.2
-
24
-
-
50449094780
-
On optimality of Bayesian testimation in the normal means problem
-
Abramovich F, Grinshtein V, Pensky M. On optimality of Bayesian testimation in the normal means problem. The Annals of Statistics 2007; 35:2261–2286.
-
(2007)
The Annals of Statistics
, vol.35
, pp. 2261-2286
-
-
Abramovich, F.1
Grinshtein, V.2
Pensky, M.3
-
26
-
-
0034823867
-
Funnel plots for detecting bias in meta-analysis: Guidelines on choice of axis
-
Sterne J, Egger M. Funnel plots for detecting bias in meta-analysis: Guidelines on choice of axis. Journal of Clinical Epidemiology 2001; 54:1046–1055.
-
(2001)
Journal of Clinical Epidemiology
, vol.54
, pp. 1046-1055
-
-
Sterne, J.1
Egger, M.2
-
27
-
-
0025234906
-
Blood pressure, stroke, and coronary heart disease. Part 1, prolonged differences in blood pressure: prospective observational studies corrected for the regression dilution bias
-
MacMahon S, Peto R, Collins R, Godwin J, Cutler J, Sorlie P, Abbott R, Neaton J, Dyer A, Stamler J. Blood pressure, stroke, and coronary heart disease. Part 1, prolonged differences in blood pressure: prospective observational studies corrected for the regression dilution bias. The Lancet 1990; 335:765–774.
-
(1990)
The Lancet
, vol.335
, pp. 765-774
-
-
MacMahon, S.1
Peto, R.2
Collins, R.3
Godwin, J.4
Cutler, J.5
Sorlie, P.6
Abbott, R.7
Neaton, J.8
Dyer, A.9
Stamler, J.10
-
30
-
-
35748952250
-
The simulation extrapolation method for fitting generalized linear models with additive measurement error
-
Hardin JW, Schmiediche H, Carroll RJ. The simulation extrapolation method for fitting generalized linear models with additive measurement error. Stata Journal 2003; 3:373–385.
-
(2003)
Stata Journal
, vol.3
, pp. 373-385
-
-
Hardin, J.W.1
Schmiediche, H.2
Carroll, R.J.3
-
31
-
-
84959420157
-
Causal Assessment of Serum Urate Levels in Cardiometabolic Diseases Through a Mendelian Randomization Study
-
Keenan T, Zhao W, Rasheed A, Ho WK, Malik R, Felix JF, Young R, Shah N, Samuel M, Sheikh N, Mucksavage ML. Causal Assessment of Serum Urate Levels in Cardiometabolic Diseases Through a Mendelian Randomization Study. Journal of the American College of Cardiology 2016; 67:407–416.
-
(2016)
Journal of the American College of Cardiology
, vol.67
, pp. 407-416
-
-
Keenan, T.1
Zhao, W.2
Rasheed, A.3
Ho, W.K.4
Malik, R.5
Felix, J.F.6
Young, R.7
Shah, N.8
Samuel, M.9
Sheikh, N.10
Mucksavage, M.L.11
-
32
-
-
84954349711
-
Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis
-
White J, Sofat R, Hemani G, Shah T, Engmann J, Dale C, Shah S, Kruger FA, Giambartolomei C, Swerdlow DI, Palmer T. Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis. The Lancet Diabetes & Endocrinology 2016; 4:327–336.
-
(2016)
The Lancet Diabetes & Endocrinology
, vol.4
, pp. 327-336
-
-
White, J.1
Sofat, R.2
Hemani, G.3
Shah, T.4
Engmann, J.5
Dale, C.6
Shah, S.7
Kruger, F.A.8
Giambartolomei, C.9
Swerdlow, D.I.10
Palmer, T.11
-
33
-
-
34547682094
-
Mendelian randomization as an instrumental variable approach to causal inference
-
Didelez V, Sheehan NA. Mendelian randomization as an instrumental variable approach to causal inference. Statistical Methods in Medical Research 2007; 16:309–330.
-
(2007)
Statistical Methods in Medical Research
, vol.16
, pp. 309-330
-
-
Didelez, V.1
Sheehan, N.A.2
-
35
-
-
79951693616
-
Mendelian randomization of case-control studies using structural mean models
-
Bowden J, Vansteelandt S. Mendelian randomization of case-control studies using structural mean models. Statistics in Medicine 2011; 30:678–694.
-
(2011)
Statistics in Medicine
, vol.30
, pp. 678-694
-
-
Bowden, J.1
Vansteelandt, S.2
|