Publications Peer reviewed articles (57) Estimation of the cure rate for distributions in the Gumbel maximum domain of attraction under insufficient follow-up Author(s): Escobar-Bach, Mikael; Maller, Ross; Van Keilegom, Ingrid; Zhao, Muzhi Published in: Biometrika, Issue 00063444, 2021, Page(s) 243-256, ISSN 0006-3444 Publisher: Oxford University Press DOI: 10.1093/biomet/asaa106 Linear censored quantile regression: A novel minimum‐distance approach Author(s): Mickaël De Backer, Anouar El Ghouch, Ingrid Van Keilegom Published in: Scandinavian Journal of Statistics, Issue 47/4, 2020, Page(s) 1275-1306, ISSN 0303-6898 Publisher: Blackwell Publishing Inc. DOI: 10.1111/sjos.12475 The nonparametric location-scale mixture cure model Author(s): Justin Chown, Cédric Heuchenne, Ingrid Van Keilegom Published in: TEST, Issue 29/4, 2020, Page(s) 1008-1028, ISSN 1133-0686 Publisher: Sociedad de Estadistica e Investigacion Operativa DOI: 10.1007/s11749-019-00698-8 A test for comparing conditional ROC curves with multidimensional covariates Author(s): Fanjul-Hevia, Arís; Pardo-Fernández, Juan Carlos; Van Keilegom, Ingrid; González-Manteiga, Wenceslao Published in: Journal of Applied Statistics, Issue 02664763, 2022, ISSN 0266-4763 Publisher: Routledge DOI: 10.1080/02664763.2022.2116409 Accelerated failure time vs Cox proportional hazards mixture cure models: David vs Goliath? Author(s): Parsa, Motahareh; Van Keilegom, Ingrid Published in: Statistical Papers, Issue 09325026, 2022, ISSN 0932-5026 Publisher: Springer Verlag DOI: 10.1007/s00362-022-01345-5 Flexible parametric approach to classical measurement error variance estimation without auxiliary data Author(s): Aurélie Bertrand, Ingrid Van Keilegom, Catherine Legrand Published in: Biometrics, Issue 75/1, 2019, Page(s) 297-307, ISSN 0006-341X Publisher: Blackwell Publishing Inc. DOI: 10.1111/biom.12960 A Smooth Nonparametric, Multivariate, Mixed-Data Location-Scale Test Author(s): Jeffrey S. Racine, Ingrid Van Keilegom Published in: Journal of Business & Economic Statistics, Issue 38/4, 2020, Page(s) 784-795, ISSN 0735-0015 Publisher: American Statistical Association DOI: 10.1080/07350015.2019.1574227 A presmoothing approach for estimation in the semiparametric Cox mixture cure model Author(s): Musta E, Patilea V, Van Keilegom I Published in: Bernoulli, Issue 13507265, 2022, Page(s) 2689-2715, ISSN 1350-7265 Publisher: Chapman & Hall DOI: 10.3150/21-bej1434 Two-step semiparametric empirical likelihood inference Author(s): Francesco Bravo, Juan Carlos Escanciano, Ingrid Van Keilegom Published in: The Annals of Statistics, Issue 48/1, 2020, ISSN 0090-5364 Publisher: Institute of Mathematical Statistics DOI: 10.1214/18-aos1788 ADDITIVE REGRESSION FOR NON-EUCLIDEAN RESPONSES AND PREDICTORS Author(s): Jeon, Jeong Min; Park, Byeong U.; Van Keilegom, Ingrid Published in: ANNALS OF STATISTICS, Issue 00905364, 2021, Page(s) 2611-2641, ISSN 0090-5364 Publisher: Institute of Mathematical Statistics DOI: 10.1214/21-aos2048 Semi-parametric estimation of incubation and generation times by means of Laguerre polynomials Author(s): Kreiss, Alexander; Van Keilegom, Ingrid Published in: JOURNAL OF NONPARAMETRIC STATISTICS, Issue 10485252, 2022, Page(s) 570-606, ISSN 1048-5252 Publisher: Taylor & Francis DOI: 10.1080/10485252.2022.2028281 Estimation of the variance matrix in bivariate classical measurement error models Author(s): Kekec, Elif; Van Keilegom, Ingrid Published in: ELECTRONIC JOURNAL OF STATISTICS, Issue 19357524, 2022, Page(s) 1831-1854, ISSN 1935-7524 Publisher: Institute of Mathematical Statistics DOI: 10.1214/22-ejs1996 Specification testing in semi-parametric transformation models Author(s): Kloodt, Nick; Neumeyer, Natalie; Van Keilegom, Ingrid Published in: TEST, Issue 11330686, 2021, Page(s) 980-1003, ISSN 1133-0686 Publisher: Sociedad de Estadistica e Investigacion Operativa DOI: 10.1007/s11749-021-00756-0 Nonparametric Instrumental Regression With Right Censored Duration Outcomes Author(s): Beyhum, Jad; Florens, Jean-Pierre; Van Keilegom, Ingrid Published in: JOURNAL OF BUSINESS & ECONOMIC STATISTICS, Issue 07350015, 2021, Page(s) 1034-1045, ISSN 0735-0015 Publisher: American Statistical Association DOI: 10.1080/07350015.2021.1895814 Semiparametric estimation of the nonmixture cure model with auxiliary survival information Author(s): Han B, Van Keilegom I, Wang X Published in: Biometrics, Issue 0006341X, 2021, Page(s) 448-459, ISSN 0006-341X Publisher: Blackwell Publishing Inc. DOI: 10.1111/biom.13450 Robust censored regression with l(1)-norm regularization Author(s): Beyhum J, Van Keilegom I Published in: TEST, Issue 11330686, 2022, ISSN 1133-0686 Publisher: Sociedad de Estadistica e Investigacion Operativa DOI: 10.1007/s11749-022-00829-8 On relaxing the distributional assumption of stochastic frontier models Author(s): Hohsuk Noh, Ingrid Van Keilegom Published in: Journal of the Korean Statistical Society, Issue 49/1, 2020, Page(s) 1-14, ISSN 1226-3192 Publisher: Elsevier BV DOI: 10.1007/s42952-019-00011-1 Quantile regression for longitudinal data via the multivariate generalized hyperbolic distribution Author(s): Florez, Alvaro J.; Keilegom, Ingrid Van; Molenberghs, Geert; Verhasselt, Anneleen Published in: STATISTICAL MODELLING, Issue 1471082X, 2021, Page(s) 566-584, ISSN 1471-082X Publisher: SAGE Publications DOI: 10.1177/1471082x211015454 A general approach for cure models in survival analysis Author(s): Valentin Patilea, Ingrid Van Keilegom Published in: The Annals of Statistics, Issue 48/4, 2020, ISSN 0090-5364 Publisher: Institute of Mathematical Statistics DOI: 10.1214/19-aos1889 ON AN EXTENSION OF THE PROMOTION TIME CURE MODEL Author(s): Beyhum, Jad; El Ghouch, Anouar; Portier, Francois; Van Keilegom, Ingrid Published in: ANNALS OF STATISTICS, Issue 00905364, 2022, Page(s) 537-559, ISSN 0090-5364 Publisher: Institute of Mathematical Statistics DOI: 10.1214/21-aos2119 Estimation of the Boundary of a Variable Observed With Symmetric Error Author(s): Jean-Pierre Florens, Léopold Simar, Ingrid Van Keilegom Published in: Journal of the American Statistical Association, Issue 115/529, 2020, Page(s) 425-441, ISSN 0162-1459 Publisher: American Statistical Association DOI: 10.1080/01621459.2018.1555093 Envelopes for censored quantile regression Author(s): Zhao, Yue; Van Keilegom, Ingrid; Ding, Shanshan Published in: SCANDINAVIAN JOURNAL OF STATISTICS, Issue 03036898, 2022, ISSN 0303-6898 Publisher: Blackwell Publishing Inc. DOI: 10.1111/sjos.12602 Goodness-of-fit test for a parametric survival function with cure fraction Author(s): Candida Geerdens, Paul Janssen, Ingrid Van Keilegom Published in: TEST, Issue 29/3, 2020, Page(s) 768-792, ISSN 1133-0686 Publisher: Sociedad de Estadistica e Investigacion Operativa DOI: 10.1007/s11749-019-00680-4 An Adapted Loss Function for Censored Quantile Regression Author(s): Mickaël De Backer, Anouar El Ghouch, Ingrid Van Keilegom Published in: Journal of the American Statistical Association, Issue 114/527, 2019, Page(s) 1126-1137, ISSN 0162-1459 Publisher: American Statistical Association DOI: 10.1080/01621459.2018.1469996 Assessing cure status prediction from survival data using receiver operating characteristic curves Author(s): Amico, M.; Van Keilegom, I.; Han, B. Published in: Biometrika, Issue 00063444, 2021, Page(s) 727-740, ISSN 0006-3444 Publisher: Oxford University Press DOI: 10.1093/biomet/asaa080 Semiparametric M-estimation with non-smooth criterion functions Author(s): Laurent Delsol, Ingrid Van Keilegom Published in: Annals of the Institute of Statistical Mathematics, Issue 72/2, 2020, Page(s) 577-605, ISSN 0020-3157 Publisher: Kluwer Academic Publishers DOI: 10.1007/s10463-018-0700-y The single‐index/Cox mixture cure model Author(s): Maïlis Amico, Ingrid Van Keilegom, Catherine Legrand Published in: Biometrics, Issue 75/2, 2019, Page(s) 452-462, ISSN 0006-341X Publisher: Blackwell Publishing Inc. DOI: 10.1111/biom.12999 Nonparametric covariate hypothesis tests for the cure rate in mixture cure models Author(s): Ana López‐Cheda, Maria Amalia Jácome, Ingrid Van Keilegom, Ricardo Cao Published in: Statistics in Medicine, Issue 39/17, 2020, Page(s) 2291-2307, ISSN 0277-6715 Publisher: John Wiley & Sons Inc. DOI: 10.1002/sim.8530 A new lack‐of‐fit test for quantile regression with censored data Author(s): Mercedes Conde‐Amboage, Ingrid Van Keilegom, Wenceslao González‐Manteiga Published in: Scandinavian Journal of Statistics, Issue 48/2, 2021, Page(s) 655-688, ISSN 0303-6898 Publisher: Blackwell Publishing Inc. DOI: 10.1111/sjos.12512 PARAMETRIC COPULA ADJUSTED FOR NON- AND SEMIPARAMETRIC REGRESSION Author(s): Zhao, Yue; Gijbels, Irene; Van Keilegom, Ingrid Published in: ANNALS OF STATISTICS, Issue 00905364, 2022, Page(s) 754-780, ISSN 0090-5364 Publisher: Institute of Mathematical Statistics DOI: 10.1214/21-aos2126 Non-parametric cure rate estimation under insufficient follow-up by using extremes Author(s): Mikael Escobar-Bach, Ingrid Van Keilegom Published in: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Issue 81/5, 2019, Page(s) 861-880, ISSN 1369-7412 Publisher: Blackwell Publishing Inc. DOI: 10.1111/rssb.12334 A multivariate normal regression model for survival data subject to different types of dependent censoring Author(s): Negera Wakgari Deresa, Ingrid Van Keilegom Published in: Computational Statistics & Data Analysis, Issue 144, 2020, Page(s) 106879, ISSN 0167-9473 Publisher: Elsevier BV DOI: 10.1016/j.csda.2019.106879 Estimation of a semiparametric transformation model: A novel approach based on least squares minimization Author(s): Benjamin Colling, Ingrid Van Keilegom Published in: Electronic Journal of Statistics, Issue 14/1, 2020, ISSN 1935-7524 Publisher: Institute of Mathematical Statistics DOI: 10.1214/20-ejs1676 Goodness-of-fit tests in proportional hazards models with random effects Author(s): Gonzalez-Manteiga, Wenceslao; Martinez-Miranda, Maria Dolores; Van Keilegom, Ingrid Published in: Biometrical Journal, Issue 03233847, 2022, ISSN 0323-3847 Publisher: John Wiley & Sons Ltd. DOI: 10.1002/bimj.202000353 Bootstrap of residual processes in regression: to smooth or not to smooth? Author(s): N Neumeyer, I Van Keilegom Published in: Biometrika, Issue 106/2, 2019, Page(s) 385-400, ISSN 0006-3444 Publisher: Oxford University Press DOI: 10.1093/biomet/asz009 Bias-Corrected Confidence Intervals in a Class of Linear Inverse Problems Author(s): Jean-Pierre Florens, Joël L. Horowitz, Ingrid Van Keilegom Published in: Annals of Economics and Statistics, Issue 128, 2017, Page(s) 203, ISSN 2115-4430 Publisher: GENES DOI: 10.15609/annaeconstat2009.128.0203 Goodness-of-fit tests in semiparametric transformation models using the integrated regression function Author(s): Benjamin Colling, Ingrid Van Keilegom Published in: Journal of Multivariate Analysis, Issue 160, 2017, Page(s) 10-30, ISSN 0047-259X Publisher: Academic Press DOI: 10.1016/j.jmva.2017.05.006 Parametrically guided local quasi-likelihood with censored data Author(s): Majda Talamakrouni, Anouar El Ghouch, Ingrid Van Keilegom Published in: Electronic Journal of Statistics, Issue 11/2, 2017, Page(s) 2773-2799, ISSN 1935-7524 Publisher: Institute of Mathematical Statistics DOI: 10.1214/17-ejs1293 Robustness of estimation methods in a survival cure model with mismeasured covariates Author(s): A. Bertrand, C. Legrand, D. Léonard, I. Van Keilegom Published in: Computational Statistics & Data Analysis, Issue 113, 2017, Page(s) 3-18, ISSN 0167-9473 Publisher: Elsevier BV DOI: 10.1016/j.csda.2016.11.013 Inference in a survival cure model with mismeasured covariates using a simulation-extrapolation approach Author(s): Aurelie Bertrand, Catherine Legrand, Raymond J. Carroll, Christophe de Meester, Ingrid Van Keilegom Published in: Biometrika, 2017, Page(s) asw054, ISSN 0006-3444 Publisher: Oxford University Press DOI: 10.1093/biomet/asw054 Asymptotic distribution-free tests for semiparametric regressions with dependent data Author(s): Juan Carlos Escanciano, Juan Carlos Pardo-Fernández, Ingrid Van Keilegom Published in: The Annals of Statistics, Issue 46/3, 2018, Page(s) 1167-1196, ISSN 0090-5364 Publisher: Institute of Mathematical Statistics DOI: 10.1214/17-aos1581 Cure Models in Survival Analysis Author(s): Maïlis Amico, Ingrid Van Keilegom Published in: Annual Review of Statistics and Its Application, Issue 5/1, 2018, Page(s) 311-342, ISSN 2326-831X Publisher: Annual Reviews Inc. DOI: 10.1146/annurev-statistics-031017-100101 Wild residual bootstrap inference for penalized quantile regression with heteroscedastic errors Author(s): Lan Wang, Ingrid Van Keilegom, Adam Maidman Published in: Biometrika, Issue 105/4, 2018, Page(s) 859-872, ISSN 0006-3444 Publisher: Oxford University Press DOI: 10.1093/biomet/asy037 The copula-graphic estimator in censored nonparametric location-scale regression models Author(s): Aleksandar Sujica, Ingrid Van Keilegom Published in: Econometrics and Statistics, Issue 7, 2018, Page(s) 89-114, ISSN 2452-3062 Publisher: Elsevier DOI: 10.1016/j.ecosta.2017.07.002 Hybrid combinations of parametric and empirical likelihoods Author(s): Nils Lid Hjort, Ian McKeague, Ingrid Van Keilegom Published in: Statistica Sinica, 2018, ISSN 1017-0405 Publisher: Academia Sinica DOI: 10.5705/ss.202017.0291 Goodness-of-fit tests for the cure rate in a mixture cure model Author(s): U U Müller, I Van Keilegom Published in: Biometrika, Issue 106/1, 2018, Page(s) 211-227, ISSN 0006-3444 Publisher: Oxford University Press DOI: 10.1093/biomet/asy058 Expansion for moments of regression quantiles with applications to nonparametric testing Author(s): Enno Mammen, Ingrid Van Keilegom, Kyusang Yu Published in: Bernoulli, Issue 25/2, 2019, Page(s) 793-827, ISSN 1350-7265 Publisher: Chapman & Hall DOI: 10.3150/17-bej986 ESTIMATION OF A SEMIPARAMETRIC TRANSFORMATION MODEL IN THE PRESENCE OF ENDOGENEITY Author(s): Anne Vanhems, Ingrid Van Keilegom Published in: Econometric Theory, Issue 35/1, 2019, Page(s) 73-110, ISSN 0266-4666 Publisher: Cambridge University Press DOI: 10.1017/s0266466618000026 Estimation of fully nonparametric transformation models Author(s): Benjamin Colling, Ingrid Van Keilegom Published in: Bernoulli, Issue 25/4B, 2019, ISSN 1350-7265 Publisher: Chapman & Hall DOI: 10.3150/19-bej1110 Flexible parametric model for survival data subject to dependent censoring Author(s): Negera Wakgari Deresa, Ingrid Van Keilegom Published in: Biometrical Journal, Issue 62/1, 2020, Page(s) 136-156, ISSN 0323-3847 Publisher: John Wiley & Sons Ltd. DOI: 10.1002/bimj.201800375 Efron–Petrosian integrals for doubly truncated data with covariates: An asymptotic analysis Author(s): Jacobo de Uña-Álvarez, Ingrid Van Keilegom Published in: Bernoulli, Issue 27/1, 2021, ISSN 1350-7265 Publisher: Chapman & Hall DOI: 10.3150/20-bej1236 On semiparametric modelling, estimation and inference for survival data subject to dependent censoring Author(s): Deresa, N. W.; Van Keilegom, I. Published in: Biometrika, Issue 00063444, 2021, Page(s) 965-979, ISSN 0006-3444 Publisher: Oxford University Press DOI: 10.1093/biomet/asaa095 Inference for semiparametric Gaussian copula model adjusted for linear regression using residual ranks Author(s): Yue Zhao, Irène Gijbels, Ingrid Van Keilegom Published in: Bernoulli, Issue 26/4, 2020, ISSN 1350-7265 Publisher: Chapman & Hall DOI: 10.3150/20-bej1208 Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models Author(s): Ana López-Cheda, Ricardo Cao, M. Amalia Jácome, Ingrid Van Keilegom Published in: Computational Statistics & Data Analysis, Issue 105, 2017, Page(s) 144-165, ISSN 0167-9473 Publisher: Elsevier BV DOI: 10.1016/j.csda.2016.08.002 A simulation-extrapolation approach for the mixture cure model with mismeasured covariates Author(s): Eni Musta, Ingrid Van Keilegom Published in: Electronic Journal of Statistics, Issue 15/2, 2021, ISSN 1935-7524 Publisher: Institute of Mathematical Statistics DOI: 10.1214/21-ejs1874 Additive regression for predictors of various natures and possibly incomplete Hilbertian responses Author(s): Jeong Min Jeon, Byeong U. Park, Ingrid Van Keilegom Published in: Electronic Journal of Statistics, Issue 15/1, 2021, ISSN 1935-7524 Publisher: Institute of Mathematical Statistics DOI: 10.1214/21-ejs1823 Copula-based inference for bivariate survival data with left truncation and dependent censoring Author(s): Deresa NW, Van Keilegom I, Antonio K Published in: Insurance Mathematics & Economics, Issue 01676687, 2022, Page(s) 1-21, ISSN 0167-6687 Publisher: Elsevier BV DOI: 10.1016/j.insmatheco.2022.07.011 Other (6) A nonparametric instrumental approach to endogeneity in competing risks models Author(s): Jad Beyhum, Jean-Pierre Florens, Ingrid Van Keilegom Published in: Arxiv, 2022 Publisher: Arxiv DOI: 10.48550/arxiv.2105.00946 Instrumental variable estimation of dynamic treatment effects on a duration outcome Author(s): Jad Beyhum, Samuele Centorrino, Jean-Pierre Florens, Ingrid Van Keilegom Published in: Arxiv, 2022 Publisher: Arxiv DOI: 10.48550/arxiv.2201.10826 Testing for error invariance in separable instrumental variable models Author(s): Jad Beyhum, Jean-Pierre Florens, Elia Lapenta, Ingrid Van Keilegom Published in: Arxiv, 2022 Publisher: Arxiv DOI: 10.48550/arxiv.2208.05344 A Gaussian model for survival data subject to dependent censoring and confounding Author(s): Gilles Crommen, Jad Beyhum, Ingrid Van Keilegom Published in: Arxiv, 2022 Publisher: Arxiv DOI: 10.48550/arxiv.2208.04184 Instrumental variable quantile regression under random right censoring Author(s): Jad Beyhum, Lorenzo Tedesco, Ingrid Van Keilegom Published in: Arxiv, 2022 Publisher: Arxiv DOI: 10.48550/arxiv.2209.01429 Nonparametric estimation of conditional cure models for heavy-tailed distributions and under insufficient follow-up Author(s): Mikael Escobar-Bach, Ingrid Van Keilegom Published in: Arxiv, 2022 Publisher: Arxiv DOI: 10.48550/arxiv.1909.08436 Book chapters (2) Deconvolution with Unknown Error Distribution Author(s): Delaigle, Aurore; Van Keilegom, Ingrid Published in: Handbook of Measurement Error Models, 2021, ISBN 9781315101279 Publisher: Chapman and Hall/CRC DOI: 10.1201/9781315101279 Single-Index Quantile Regression Models for Censored Data Author(s): Axel Bücher, Anouar El Ghouch, Ingrid Van Keilegom Published in: Advances in Contemporary Statistics and Econometrics, 2021, ISBN 978-3-030-73248-6 Publisher: Springer DOI: 10.1007/978-3-030-73249-3 Searching for OpenAIRE data... 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