-
1
-
-
35648939584
-
Missing data: a gentle introduction
-
Guilford New York, NY
-
McKnight, P.E., McKnight, M.K., Sidani, S., Figueredo, A.J., Missing data: a gentle introduction. 2007, Guilford, New York, NY.
-
(2007)
-
-
McKnight, P.E.1
McKnight, M.K.2
Sidani, S.3
Figueredo, A.J.4
-
2
-
-
84927950888
-
Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study
-
Akl, E.A., Kahale, L.A., Agarwal, A., Al-Matari, N., Ebrahim, S., Alexander, P.E., et al. Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study. Syst Rev, 3, 2014, 137.
-
(2014)
Syst Rev
, vol.3
, pp. 137
-
-
Akl, E.A.1
Kahale, L.A.2
Agarwal, A.3
Al-Matari, N.4
Ebrahim, S.5
Alexander, P.E.6
-
3
-
-
48749124902
-
Sampling-based approach to determining outcomes of patients lost to follow-up in antiretroviral therapy scale-up programs in Africa
-
Sampling-based approach to determining outcomes of patients lost to follow-up in antiretroviral therapy scale-up programs in Africa. JAMA 300 (2008), 506–507.
-
(2008)
JAMA
, vol.300
, pp. 506-507
-
-
-
4
-
-
85101444608
-
Statistical analysis with missing data
-
Wiley New York
-
Little, R.J.A., Rubin, D., Statistical analysis with missing data. 1987, Wiley, New York.
-
(1987)
-
-
Little, R.J.A.1
Rubin, D.2
-
5
-
-
84884486714
-
Strategies for dealing with missing data in clinical trials: from design to analysis
-
Dziura, J.D., Post, L.A., Zhao, Q., Fu, Z., Peduzzi, P., Strategies for dealing with missing data in clinical trials: from design to analysis. Yale J Biol Med 86 (2013), 343–358.
-
(2013)
Yale J Biol Med
, vol.86
, pp. 343-358
-
-
Dziura, J.D.1
Post, L.A.2
Zhao, Q.3
Fu, Z.4
Peduzzi, P.5
-
6
-
-
84880099876
-
A tutorial on sensitivity analyses in clinical trials: the what, why, when and how
-
Thabane, L., Mbuagbaw, L., Zhang, S., Samaan, Z., Marcucci, M., Ye, C., et al. A tutorial on sensitivity analyses in clinical trials: the what, why, when and how. BMC Med Res Methodol, 13, 2013, 92.
-
(2013)
BMC Med Res Methodol
, vol.13
, pp. 92
-
-
Thabane, L.1
Mbuagbaw, L.2
Zhang, S.3
Samaan, Z.4
Marcucci, M.5
Ye, C.6
-
7
-
-
0042066687
-
On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out
-
Demirtas, H., Schafer, J.L., On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out. Stat Med 22 (2003), 2553–2575.
-
(2003)
Stat Med
, vol.22
, pp. 2553-2575
-
-
Demirtas, H.1
Schafer, J.L.2
-
8
-
-
75749133269
-
An overview of practical approaches for handling missing data in clinical trials
-
DeSouza, C.M., Legedza, A.T., Sankoh, A.J., An overview of practical approaches for handling missing data in clinical trials. J Biopharm Stat 19 (2009), 1055–1073.
-
(2009)
J Biopharm Stat
, vol.19
, pp. 1055-1073
-
-
DeSouza, C.M.1
Legedza, A.T.2
Sankoh, A.J.3
-
9
-
-
84897051744
-
Missing data in alcohol clinical trials: a comparison of methods
-
Hallgren, K.A., Witkiewitz, K., Missing data in alcohol clinical trials: a comparison of methods. Alcohol Clin Exp Res 37 (2013), 2152–2160.
-
(2013)
Alcohol Clin Exp Res
, vol.37
, pp. 2152-2160
-
-
Hallgren, K.A.1
Witkiewitz, K.2
-
10
-
-
82955205812
-
Methods for using data abstracted from medical charts to impute longitudinal missing data in a clinical trial
-
Hebert, P.L., Taylor, L.T., Wang, J.J., Bergman, M.A., Methods for using data abstracted from medical charts to impute longitudinal missing data in a clinical trial. Value Health 14 (2011), 1085–1091.
-
(2011)
Value Health
, vol.14
, pp. 1085-1091
-
-
Hebert, P.L.1
Taylor, L.T.2
Wang, J.J.3
Bergman, M.A.4
-
11
-
-
22544460535
-
Improving traditional intention-to-treat analyses: a new approach
-
Horvitz-Lennon, M., James O'Malley, A., Frank, R.G., Normand, S.-L.T., Improving traditional intention-to-treat analyses: a new approach. Psychol Med 35 (2005), 961–970.
-
(2005)
Psychol Med
, vol.35
, pp. 961-970
-
-
Horvitz-Lennon, M.1
James O'Malley, A.2
Frank, R.G.3
Normand, S.-L.T.4
-
12
-
-
77952832305
-
Semiparametric dimension reduction estimation for mean response with missing data
-
Hu, Z., Follmann, D.A., Qin, J., Semiparametric dimension reduction estimation for mean response with missing data. Biometrika 97 (2010), 305–319.
-
(2010)
Biometrika
, vol.97
, pp. 305-319
-
-
Hu, Z.1
Follmann, D.A.2
Qin, J.3
-
13
-
-
84880099876
-
A tutorial on sensitivity analyses in clinical trials: the what, why, when and how
-
A tutorial on sensitivity analyses in clinical trials: the what, why, when and how. BMC Med Res Methodol, 13, 2013, 92.
-
(2013)
BMC Med Res Methodol
, vol.13
, pp. 92
-
-
-
14
-
-
35648939584
-
Missing data: a gentle introduction
-
Guilford New York, NY
-
McKnight, P.E., McKnight, M.K., Sidani, S., Figueredo, A.J., Missing data: a gentle introduction. 2007, Guilford, New York, NY.
-
(2007)
-
-
McKnight, P.E.1
McKnight, M.K.2
Sidani, S.3
Figueredo, A.J.4
-
15
-
-
0037947306
-
Interpreting incomplete data in studies of diet and weight loss
-
Ware, J.H., Interpreting incomplete data in studies of diet and weight loss. N Engl J Med 348 (2003), 2136–2137.
-
(2003)
N Engl J Med
, vol.348
, pp. 2136-2137
-
-
Ware, J.H.1
-
16
-
-
54349127108
-
Does analysis using “last observation carried forward” introduce bias in dementia research?
-
Molnar, F.J., Hutton, B., Fergusson, D., Does analysis using “last observation carried forward” introduce bias in dementia research?. CMAJ 179 (2008), 751–753.
-
(2008)
CMAJ
, vol.179
, pp. 751-753
-
-
Molnar, F.J.1
Hutton, B.2
Fergusson, D.3
-
17
-
-
85101444608
-
Statistical analysis with missing data
-
2nd ed. Wiley New York, NY
-
Little, R.J.A., Rubin, D., Statistical analysis with missing data. 2nd ed., 2002, Wiley, New York, NY.
-
(2002)
-
-
Little, R.J.A.1
Rubin, D.2
-
18
-
-
0003738155
-
Multiple imputation for nonresponse in surveys
-
John Wiley & Sons, Inc. New York, NY
-
Rubin, D.B., Multiple imputation for nonresponse in surveys. 1987, John Wiley & Sons, Inc., New York, NY.
-
(1987)
-
-
Rubin, D.B.1
-
19
-
-
0003398574
-
Analysis of incomplete multivariate data
-
Chapman and Hall New York
-
Schafer, J.L., Analysis of incomplete multivariate data. 1997, Chapman and Hall, New York.
-
(1997)
-
-
Schafer, J.L.1
-
20
-
-
23044525261
-
Multiple imputation in practice: comparison of software packages for regression models with missing variables
-
Horton, N.J., Lipsitz, S., Multiple imputation in practice: comparison of software packages for regression models with missing variables. Am Stat 55 (2001), 244–254.
-
(2001)
Am Stat
, vol.55
, pp. 244-254
-
-
Horton, N.J.1
Lipsitz, S.2
-
21
-
-
0043198343
-
Modern statistical methods for handling missing repeated measurements in obesity trial data: beyond LOCF
-
Gadbury, G.L., Coffey, C.S., Allison, D.B., Modern statistical methods for handling missing repeated measurements in obesity trial data: beyond LOCF. Obes Reb 4 (2003), 175–184.
-
(2003)
Obes Reb
, vol.4
, pp. 175-184
-
-
Gadbury, G.L.1
Coffey, C.S.2
Allison, D.B.3
-
22
-
-
84881000671
-
A two-step multiple imputation for analysis of repeated measures with left-censored and missing data
-
Liu, G.F., Hu, P., Mehrotra, D.V., A two-step multiple imputation for analysis of repeated measures with left-censored and missing data. Stat Biopharm Res 5 (2013), 116–125.
-
(2013)
Stat Biopharm Res
, vol.5
, pp. 116-125
-
-
Liu, G.F.1
Hu, P.2
Mehrotra, D.V.3
-
23
-
-
84871651612
-
Analysis of longitudinal clinical trials with missing data using multiple imputation in conjunction with robust regression
-
Mehrotra, D.V., Li, X., Liu, J., Lu, K., Analysis of longitudinal clinical trials with missing data using multiple imputation in conjunction with robust regression. Biometrics 68 (2012), 1250–1259.
-
(2012)
Biometrics
, vol.68
, pp. 1250-1259
-
-
Mehrotra, D.V.1
Li, X.2
Liu, J.3
Lu, K.4
-
24
-
-
33845891920
-
The design of simulation studies in medical statistics
-
Burton, A., Altman, D., Royston, P., Holder, R.L., The design of simulation studies in medical statistics. Stat Med 25 (2006), 4279–4292.
-
(2006)
Stat Med
, vol.25
, pp. 4279-4292
-
-
Burton, A.1
Altman, D.2
Royston, P.3
Holder, R.L.4
-
25
-
-
0346102882
-
Maximum likelihood methods for nonignorable missing responses and covariates in random effects models
-
Stubbendick, A.L., Ibrahim, J.G., Maximum likelihood methods for nonignorable missing responses and covariates in random effects models. Biometrics 59 (2003), 1140–1150.
-
(2003)
Biometrics
, vol.59
, pp. 1140-1150
-
-
Stubbendick, A.L.1
Ibrahim, J.G.2
-
26
-
-
62749191476
-
A semi-parametric shared parameter model to handle nonmonotone nonignorable missingness
-
Tsonaka, R., Verbeke, G., Lesaffre, E., A semi-parametric shared parameter model to handle nonmonotone nonignorable missingness. Biometrics 65 (2009), 81–87.
-
(2009)
Biometrics
, vol.65
, pp. 81-87
-
-
Tsonaka, R.1
Verbeke, G.2
Lesaffre, E.3
-
27
-
-
79951553309
-
Empirical likelihood for semiparametric regression model with missing response data
-
Xue, L., Xue, D., Empirical likelihood for semiparametric regression model with missing response data. J Multivar Anal 102 (2011), 723–740.
-
(2011)
J Multivar Anal
, vol.102
, pp. 723-740
-
-
Xue, L.1
Xue, D.2
-
28
-
-
77949724484
-
Bayesian quantile regression for longitudinal studies with nonignorable missing data
-
Yuan, Y., Yin, G., Bayesian quantile regression for longitudinal studies with nonignorable missing data. Biometrics 66 (2010), 105–114.
-
(2010)
Biometrics
, vol.66
, pp. 105-114
-
-
Yuan, Y.1
Yin, G.2
-
29
-
-
79953209006
-
MMRM versus MI in dealing with missing data—a comparison based on 25 NDA data sets
-
Siddiqui, O., MMRM versus MI in dealing with missing data—a comparison based on 25 NDA data sets. J Biopharm Stat 21 (2011), 423–436.
-
(2011)
J Biopharm Stat
, vol.21
, pp. 423-436
-
-
Siddiqui, O.1
-
30
-
-
68249114452
-
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
-
Sterne, J.A., White, I.R., Carlin, J.B., Spratt, M., Royston, P., Kenward, M.G., et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ, 338, 2009, b2393.
-
(2009)
BMJ
, vol.338
, pp. b2393
-
-
Sterne, J.A.1
White, I.R.2
Carlin, J.B.3
Spratt, M.4
Royston, P.5
Kenward, M.G.6
-
31
-
-
33847704498
-
Missing data on the Center for Epidemiologic Studies Depression Scale: a comparison of 4 imputation techniques
-
Bono, C., Ried, L.D., Kimberlin, C., Vogel, B., Missing data on the Center for Epidemiologic Studies Depression Scale: a comparison of 4 imputation techniques. Res Social Adm Pharm 3 (2007), 1–27.
-
(2007)
Res Social Adm Pharm
, vol.3
, pp. 1-27
-
-
Bono, C.1
Ried, L.D.2
Kimberlin, C.3
Vogel, B.4
-
32
-
-
29344475979
-
Simple adjustments for randomized trials with nonrandomly missing or censored outcomes arising from informative covariates
-
Baker, S.G., Fitzmaurice, G.M., Freedman, L.S., Kramer, B.S., Simple adjustments for randomized trials with nonrandomly missing or censored outcomes arising from informative covariates. Biostatistics 7 (2006), 29–40.
-
(2006)
Biostatistics
, vol.7
, pp. 29-40
-
-
Baker, S.G.1
Fitzmaurice, G.M.2
Freedman, L.S.3
Kramer, B.S.4
-
33
-
-
33845891920
-
The design of simulation studies in medical statistics
-
Burton, A., Altman, D.G., Royston, P., Holder, R.L., The design of simulation studies in medical statistics. Stat Med 25 (2006), 4279–4292.
-
(2006)
Stat Med
, vol.25
, pp. 4279-4292
-
-
Burton, A.1
Altman, D.G.2
Royston, P.3
Holder, R.L.4
-
34
-
-
85100415918
-
-
The Cochrane Collaboration Oxford, UK
-
Higgins, J.P.T., Green, S., (eds.) Cochrane handbook for systematic reviews of interventions (Version 502), 2009, The Cochrane Collaboration, Oxford, UK.
-
(2009)
Cochrane handbook for systematic reviews of interventions (Version 502)
-
-
Higgins, J.P.T.1
Green, S.2
-
35
-
-
10844288743
-
A random pattern-mixture model for longitudinal data with dropouts
-
Guo, W., Ratcliffe, S.J., Have, T.T.T., A random pattern-mixture model for longitudinal data with dropouts. J Am Stat Assoc 99 (2004), 929–937.
-
(2004)
J Am Stat Assoc
, vol.99
, pp. 929-937
-
-
Guo, W.1
Ratcliffe, S.J.2
Have, T.T.T.3
-
36
-
-
33745054916
-
Analysis of a long-term study of neurotic disorder, with insights into the process of non-response
-
Longford, N.T., Tyrer, P., Nur, U.A.M., Seivewright, H., Analysis of a long-term study of neurotic disorder, with insights into the process of non-response. J R Statist Soc A 169 (2006), 507–523.
-
(2006)
J R Statist Soc A
, vol.169
, pp. 507-523
-
-
Longford, N.T.1
Tyrer, P.2
Nur, U.A.M.3
Seivewright, H.4
-
37
-
-
84871659058
-
Bayesian model selection for incomplete data using the posterior predictive distribution
-
Daniels, M.J., Chatterjee, A.S., Wang, C., Bayesian model selection for incomplete data using the posterior predictive distribution. Biometrics 68 (2012), 1055–1063.
-
(2012)
Biometrics
, vol.68
, pp. 1055-1063
-
-
Daniels, M.J.1
Chatterjee, A.S.2
Wang, C.3
-
38
-
-
0035977410
-
Intention-to-treat: methods for dealing with missing values in clinical trials of progressively deteriorating diseases
-
Unnebrink, K., Windeler, J., Intention-to-treat: methods for dealing with missing values in clinical trials of progressively deteriorating diseases. Stat Med 20 (2001), 3931–3946.
-
(2001)
Stat Med
, vol.20
, pp. 3931-3946
-
-
Unnebrink, K.1
Windeler, J.2
-
39
-
-
0141939440
-
Semiparametric regression analysis of longitudinal data with informative drop-outs
-
Lin, D.Y., Ying, Z., Semiparametric regression analysis of longitudinal data with informative drop-outs. Biostatistics 4 (2003), 385–398.
-
(2003)
Biostatistics
, vol.4
, pp. 385-398
-
-
Lin, D.Y.1
Ying, Z.2
-
40
-
-
0032499928
-
A practical approach to adjusting for attrition bias in HIV clinical trials with serial marker responses
-
Cozzi Lepri, A., Smith, G.D., Mocroft, A., Sabin, C.A., Morris, R.W., Phillips, A.N., A practical approach to adjusting for attrition bias in HIV clinical trials with serial marker responses. AIDS 12 (1998), 1155–1161.
-
(1998)
AIDS
, vol.12
, pp. 1155-1161
-
-
Cozzi Lepri, A.1
Smith, G.D.2
Mocroft, A.3
Sabin, C.A.4
Morris, R.W.5
Phillips, A.N.6
-
41
-
-
10944241763
-
Mixtures of varying coefficient models for longitudinal data with discrete or continuous nonignorable dropout
-
Hogan, J.W., Lin, X., Herman, B., Mixtures of varying coefficient models for longitudinal data with discrete or continuous nonignorable dropout. Biometrics 60 (2004), 854–864.
-
(2004)
Biometrics
, vol.60
, pp. 854-864
-
-
Hogan, J.W.1
Lin, X.2
Herman, B.3
-
42
-
-
33644905302
-
Review of guidelines and literature for handling missing data in longitudinal clinical trials with a case study
-
Liu, M., Wei, L., Zhang, J., Review of guidelines and literature for handling missing data in longitudinal clinical trials with a case study. Pharm Stat 5 (2006), 7–18.
-
(2006)
Pharm Stat
, vol.5
, pp. 7-18
-
-
Liu, M.1
Wei, L.2
Zhang, J.3
-
43
-
-
0030681257
-
An imputation method for non-ignorable missing data in studies of blood pressure
-
Cook, N.R., An imputation method for non-ignorable missing data in studies of blood pressure. Stat Med 16 (1997), 2713–2728.
-
(1997)
Stat Med
, vol.16
, pp. 2713-2728
-
-
Cook, N.R.1
-
44
-
-
21844466220
-
A comparison of imputation methods in a longitudinal randomized clinical trial
-
Tang, L., Song, J., Belin, T.R., Unutzer, J., A comparison of imputation methods in a longitudinal randomized clinical trial. Stat Med 24 (2005), 2111–2128.
-
(2005)
Stat Med
, vol.24
, pp. 2111-2128
-
-
Tang, L.1
Song, J.2
Belin, T.R.3
Unutzer, J.4
-
45
-
-
84855746403
-
A comparison of various software tools for dealing with missing data via imputation
-
Cortiñas Abrahantes, J., Sotto, C., Molenberghs, G., Vromman, G., Bierinckx, B., A comparison of various software tools for dealing with missing data via imputation. J Stat Comput Sim 81 (2011), 1653–1675.
-
(2011)
J Stat Comput Sim
, vol.81
, pp. 1653-1675
-
-
Cortiñas Abrahantes, J.1
Sotto, C.2
Molenberghs, G.3
Vromman, G.4
Bierinckx, B.5
-
46
-
-
4444287351
-
An extended general location model for causal inferences from data subject to noncompliance and missing values
-
Peng, Y., Little, R.J., Raghunathan, T.E., An extended general location model for causal inferences from data subject to noncompliance and missing values. Biometrics 60 (2004), 598–607.
-
(2004)
Biometrics
, vol.60
, pp. 598-607
-
-
Peng, Y.1
Little, R.J.2
Raghunathan, T.E.3
-
47
-
-
84950421496
-
Analysis of semiparametric regression models for repeated outcomes in the presence of missing data
-
Robins, J.M., Rotnitzky, A., Zhao, L.P., Analysis of semiparametric regression models for repeated outcomes in the presence of missing data. J Am Stat Assoc 90 (1995), 106–121.
-
(1995)
J Am Stat Assoc
, vol.90
, pp. 106-121
-
-
Robins, J.M.1
Rotnitzky, A.2
Zhao, L.P.3
-
48
-
-
84860208846
-
Accurate mean comparisons for paired samples with missing data: an application to a smoking-cessation trial
-
Xu, J., Harrar, S.W., Accurate mean comparisons for paired samples with missing data: an application to a smoking-cessation trial. Biom J 54 (2012), 281–295.
-
(2012)
Biom J
, vol.54
, pp. 281-295
-
-
Xu, J.1
Harrar, S.W.2
-
49
-
-
0032499928
-
A practical approach to adjusting for attrition bias in HIV clinical trials with serial marker responses
-
Cozzi Lepri, A., Smith, G.D., Mocroft, A., Sabin, C.A., Morris, R.W., Phillips, A.N., A practical approach to adjusting for attrition bias in HIV clinical trials with serial marker responses. AIDS 12 (1998), 1155–1161.
-
(1998)
AIDS
, vol.12
, pp. 1155-1161
-
-
Cozzi Lepri, A.1
Smith, G.D.2
Mocroft, A.3
Sabin, C.A.4
Morris, R.W.5
Phillips, A.N.6
-
50
-
-
84876335926
-
Robust inference for longitudinal data analysis with non-ignorable and non-monotonic missing values
-
Tseng, C.-H., Elashoff, R., Li, N., Li, G., Robust inference for longitudinal data analysis with non-ignorable and non-monotonic missing values. Stat Interface 5 (2012), 479–490.
-
(2012)
Stat Interface
, vol.5
, pp. 479-490
-
-
Tseng, C.-H.1
Elashoff, R.2
Li, N.3
Li, G.4
-
51
-
-
37548999814
-
Using hierarchical likelihood for missing data problems
-
Yun, S.C., Lee, Y., Kenward, M.G., Using hierarchical likelihood for missing data problems. Biometrika 94 (2007), 905–919.
-
(2007)
Biometrika
, vol.94
, pp. 905-919
-
-
Yun, S.C.1
Lee, Y.2
Kenward, M.G.3
-
52
-
-
7944229074
-
Conditional mixed models adjusting for non-ignorable drop-out with administrative censoring in longitudinal studies
-
Li, J., Schluchter, M.D., Conditional mixed models adjusting for non-ignorable drop-out with administrative censoring in longitudinal studies. Stat Med 23 (2004), 3489–3503.
-
(2004)
Stat Med
, vol.23
, pp. 3489-3503
-
-
Li, J.1
Schluchter, M.D.2
-
53
-
-
63049121747
-
Mixed-effect hybrid models for longitudinal data with nonignorable dropout
-
Yuan, Y., Little, R.J., Mixed-effect hybrid models for longitudinal data with nonignorable dropout. Biometrics 65 (2009), 478–486.
-
(2009)
Biometrics
, vol.65
, pp. 478-486
-
-
Yuan, Y.1
Little, R.J.2
-
54
-
-
84856206744
-
Dealing with missing outcome data in randomized trials and observational studies
-
Groenwold, R.H., Donders, A.R., Roes, K.C., Harrell, F.E. Jr., Moons, K.G., Dealing with missing outcome data in randomized trials and observational studies. Am J Epidemiol 175 (2012), 210–217.
-
(2012)
Am J Epidemiol
, vol.175
, pp. 210-217
-
-
Groenwold, R.H.1
Donders, A.R.2
Roes, K.C.3
Harrell, F.E.4
Moons, K.G.5
-
55
-
-
0036224591
-
Impact of missing data due to selective dropouts in cohort studies and clinical trials
-
Touloumi, G., Pocock, S.J., Babiker, A.G., Darbyshire, J.H., Impact of missing data due to selective dropouts in cohort studies and clinical trials. Epidemiology 13 (2002), 347–355.
-
(2002)
Epidemiology
, vol.13
, pp. 347-355
-
-
Touloumi, G.1
Pocock, S.J.2
Babiker, A.G.3
Darbyshire, J.H.4
-
56
-
-
84882918433
-
Multiple imputation of missing values was not necessary before performing a longitudinal mixed-model analysis
-
Twisk, J., de Boer, M., de Vente, W., Heymans, M., Multiple imputation of missing values was not necessary before performing a longitudinal mixed-model analysis. J Clin Epidemiol 66 (2013), 1022–1028.
-
(2013)
J Clin Epidemiol
, vol.66
, pp. 1022-1028
-
-
Twisk, J.1
de Boer, M.2
de Vente, W.3
Heymans, M.4
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