Works by Ha, Il Do

Results: 41

frailtyHL: A Package for Fitting Frailty Models with H-likelihood.

Published in:

R Journal, 2012, v. 4, n. 2, p. 28, doi. 10.32614/RJ-2012-010

By:

Il Do Ha;
Noh, Maengseok;
Youngjo Lee

Publication type:

Article

Comparison of hierarchical likelihood versus orthodox best linear unbiased predictor approaches for frailty models.

Published in:

Biometrika, 2005, v. 92, n. 3, p. 717, doi. 10.1093/biomet/92.3.717

By:

Il Do Ha;
Youngjo Lee

Publication type:

Article

Hierarchical likelihood approach for frailty models.

Published in:

Biometrika, 2001, v. 88, n. 1, p. 233, doi. 10.1093/biomet/88.1.233

By:

Il Do Ha;
Youngjo Lee;
Jae-kee Song

Publication type:

Article

Penalized variable selection for accelerated failure time models.

Published in:

Communications for Statistical Applications & Methods, 2018, v. 25, n. 6, p. 591, doi. 10.29220/CSAM.2018.25.6.591

By:

Eunyoung Park;
Il Do Ha

Publication type:

Article

Penalized variable selection for cause‐specific hazard frailty models with clustered competing‐risks data.

Published in:

Statistics in Medicine, 2021, v. 40, n. 29, p. 6541, doi. 10.1002/sim.9197

By:

Rakhmawati, Trias W.;
Ha, Il Do;
Lee, Hangbin;
Lee, Youngjo

Publication type:

Article

Frailty proportional mean residual life regression for clustered survival data: A hierarchical quasi-likelihood method.

Published in:

2019

By:

Huang, Rui;
Xiang, Liming;
Ha, Il Do

Publication type:

journal article

Penalized variable selection for accelerated failure time models with random effects.

Published in:

2019

By:

Park, Eunyoung;
Ha, Il Do

Publication type:

journal article

Profile likelihood approaches for semiparametric copula and frailty models for clustered survival data.

Published in:

Journal of Applied Statistics, 2019, v. 46, n. 14, p. 2553, doi. 10.1080/02664763.2019.1601688

By:

Ha, Il Do;
Kim, Jong-Min;
Emura, Takeshi

Publication type:

Article

Deep learning-based residual control chart for count data.

Published in:

Quality Engineering, 2022, v. 34, n. 3, p. 370, doi. 10.1080/08982112.2022.2044049

By:

Kim, Jong-Min;
Ha, Il Do

Publication type:

Article

Multi-parameter regression survival modelling with random effects.

Published in:

Statistical Modelling: An International Journal, 2024, v. 24, n. 3, p. 245, doi. 10.1177/1471082X221117377

By:

Jaouimaa, Fatima-Zahra;
Ha, Il Do;
Burke, Kevin

Publication type:

Article

Robust frailty modelling using non-proportional hazards models.

Published in:

Statistical Modelling: An International Journal, 2010, v. 10, n. 3, p. 315, doi. 10.1177/1471082X0801000304

By:

Ha, Il Do;
MacKenzie, Gilbert

Publication type:

Article

Joint Modelling of Repeated Measures and Survival Time Data.

Published in:

Biometrical Journal, 2003, v. 45, n. 6, p. 647

By:

Il Do Ha;
Taesung Park;
Youngjo Lee

Publication type:

Article

Flexible parametric copula modeling approaches for clustered survival data.

Published in:

Pharmaceutical Statistics, 2022, v. 21, n. 1, p. 69, doi. 10.1002/pst.2153

By:

Kwon, Sookhee;
Ha, Il Do;
Shih, Jia‐Han;
Emura, Takeshi

Publication type:

Article

A Methodological Perspective on the Longitudinal Cognitive Change after Stroke.

Published in:

Dementia & Geriatric Cognitive Disorders, 2018, v. 44, n. 5/6, p. 311, doi. 10.1159/000484477

By:

Lim, Jae-Sung;
Noh, Maengseok;
Kim, Beom Joon;
Han, Moon-Ku;
Kim, SangYun;
Jang, Myung Suk;
Lee, Youngjo;
Ha, Il Do;
Yu, Kyung-Ho;
Lee, Byung-Chul;
Kang, Yeonwook;
Lee, Juneyoung;
Bae, Hee-Joon

Publication type:

Article

Penalized h‐likelihood approach for variable selection in AFT random‐effect models.

Published in:

Statistica Neerlandica, 2020, v. 74, n. 1, p. 52, doi. 10.1111/stan.12179

By:

Park, Eunyoung;
Kwon, Sookhee;
Kwon, Jihoon;
Sylvester, Richard;
Ha, Il Do

Publication type:

Article

A Study on the Relationship Between Deep Learning and Statistical Models.

Published in:

Measurement, 2024, v. 22, n. 2, p. 188, doi. 10.1080/15366367.2023.2246707

By:

Ha, Il Do

Publication type:

Article

Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea.

Published in:

Lifetime Data Analysis, 2024, v. 30, n. 2, p. 310, doi. 10.1007/s10985-023-09612-9

By:

Kim, Jayoun;
Jeong, Boram;
Ha, Il Do;
Oh, Kook-Hwan;
Jung, Ji Yong;
Jeong, Jong Cheol;
Lee, Donghwan

Publication type:

Article

Frailty modelling approaches for semi-competing risks data.

Published in:

2020

By:

Ha, Il Do;
Xiang, Liming;
Peng, Mengjiao;
Jeong, Jong-Hyeon;
Lee, Youngjo

Publication type:

journal article

Multilevel Mixed Linear Models for Survival Data.

Published in:

Lifetime Data Analysis, 2005, v. 11, n. 1, p. 131, doi. 10.1007/s10985-004-5644-2

By:

Il Do Ha;
Youngjo Lee

Publication type:

Article

Deep Learning-Based Survival Analysis for High-Dimensional Survival Data.

Published in:

Mathematics (2227-7390), 2021, v. 9, n. 11, p. 1244, doi. 10.3390/math9111244

By:

Hao, Lin;
Kim, Juncheol;
Kwon, Sookhee;
Ha, Il Do

Publication type:

Article

A Smart Farm DNN Survival Model Considering Tomato Farm Effect.

Published in:

Agriculture; Basel, 2023, v. 13, n. 9, p. 1782, doi. 10.3390/agriculture13091782

By:

Kim, Jihun;
Ha, Il Do;
Kwon, Sookhee;
Jang, Ikhoon;
Na, Myung Hwan

Publication type:

Article

Bias Reduction of Likelihood Estimators in Semiparametric Frailty Models.

Published in:

Scandinavian Journal of Statistics, 2010, v. 37, n. 2, p. 307, doi. 10.1111/j.1467-9469.2009.00671.x

By:

IL DO HA;
MAENGSEOK NOH;
YOUNGJO LEE

Publication type:

Article

Hierarchical likelihood inference on clustered competing risks data.

Published in:

2016

By:

Christian, Nicholas J.;
Ha, Il Do;
Jeong, Jong ‐ Hyeon

Publication type:

journal article

Variable selection in subdistribution hazard frailty models with competing risks data.

Published in:

Statistics in Medicine, 2014, v. 33, n. 26, p. 4590, doi. 10.1002/sim.6257

By:

Ha, Il Do;
Lee, Minjung;
Oh, Seungyoung;
Jeong, Jong‐Hyeon;
Sylvester, Richard;
Lee, Youngjo

Publication type:

Article

Frailty modelling for survival data from multi-centre clinical trials.

Published in:

Statistics in Medicine, 2011, v. 30, n. 17, p. 2144, doi. 10.1002/sim.4250

By:

Ha, Il Do;
Sylvester, Richard;
Legrand, Catherine;
MacKenzie, Gilbert

Publication type:

Article

Model selection for multi-component frailty models.

Published in:

Statistics in Medicine, 2007, v. 26, n. 26, p. 4790, doi. 10.1002/sim.2879

By:

Ha, Il Do;
Lee, Youngjo;
MacKenzie, Gilbert

Publication type:

Article

Dispersion frailty models and HGLMs.

Published in:

Statistics in Medicine, 2006, v. 25, n. 8, p. 1341, doi. 10.1002/sim.2284

By:

Noh, Maengseok;
Ha, Il Do;
Lee, Youngjo

Publication type:

Article

Deep Learning-Based Residual Control Chart for Binary Response.

Published in:

Symmetry (20738994), 2021, v. 13, n. 8, p. 1389, doi. 10.3390/sym13081389

By:

Kim, Jong Min;
Ha, Il Do

Publication type:

Article

Penalized variable selection in multi-parameter regression survival modeling.

Published in:

Statistical Methods in Medical Research, 2023, v. 32, n. 12, p. 2455, doi. 10.1177/09622802231203322

By:

Jaouimaa, Fatima-Zahra;
Do Ha, Il;
Burke, Kevin

Publication type:

Article

Semiparametric estimation for nonparametric frailty models using nonparametric maximum likelihood approach.

Published in:

Statistical Methods in Medical Research, 2021, v. 30, n. 11, p. 2485, doi. 10.1177/09622802211037072

By:

Chee, Chew-Seng;
Do Ha, Il;
Seo, Byungtae;
Lee, Youngjo

Publication type:

Article

Comparison of the marginal hazard model and the sub-distribution hazard model for competing risks under an assumed copula.

Published in:

2020

By:

Emura, Takeshi;
Shih, Jia-Han;
Ha, Il Do;
Wilke, Ralf A

Publication type:

journal article

Frailty modeling for clustered competing risks data with missing cause of failure.

Published in:

2017

By:

Lee, Minjung;
Ha, Il Do;
Lee, Youngjo

Publication type:

journal article

Analysis of clustered competing risks data using subdistribution hazard models with multivariate frailties.

Published in:

2016

By:

Ha, Il Do;
Christian, Nicholas J.;
Jeong, Jong-Hyeon;
Park, Junwoo;
Lee, Youngjo

Publication type:

journal article

Interval estimation of random effects in proportional hazards models with frailties.

Published in:

2016

By:

Ha, Il Do;
Vaida, Florin;
Lee, Youngjo

Publication type:

journal article

H-likelihood approach for joint modeling of longitudinal outcomes and time-to-event data.

Published in:

Biometrical Journal, 2017, v. 59, n. 6, p. 1122, doi. 10.1002/bimj.201600243

By:

Ha, Il Do;
Noh, Maengseok;
Lee, Youngjo

Publication type:

Article

Copula deep learning control chart for multivariate zero inflated count response variables.

Published in:

Statistics, 2024, v. 58, n. 3, p. 749, doi. 10.1080/02331888.2024.2364688

By:

Kim, Jong-Min;
Ha, Il Do;
Kim, Sangjin

Publication type:

Article

Albatross analytics a hands-on into practice: statistical and data science application.

Published in:

Journal of Big Data, 2022, v. 9, n. 1, p. 1, doi. 10.1186/s40537-022-00626-y

By:

Caraka, Rezzy Eko;
Lee, Youngjo;
Han, Jeongseop;
Lee, Hangbin;
Noh, Maengseok;
Do Ha, Il;
Gio, Prana Ugiana;
Pardamean, Bens

Publication type:

Article

Joint AFT random-effect modeling approach for clustered competing-risks data.

Published in:

Journal of Statistical Computation & Simulation, 2024, v. 94, n. 10, p. 2114, doi. 10.1080/00949655.2024.2319188

By:

Hao, Lin;
Ha, Il Do;
Jeong, Jong-Hyeon;
Lee, Youngjo

Publication type:

Article

Penalized variable selection in copula survival models for clustered time-to-event data.

Published in:

Journal of Statistical Computation & Simulation, 2020, v. 90, n. 4, p. 657, doi. 10.1080/00949655.2019.1698579

By:

Kwon, Sookhee;
Ha, Il Do;
Kim, Jong-Min

Publication type:

Article

Variable Selection in General Frailty Models Using Penalized H-Likelihood.

Published in:

Journal of Computational & Graphical Statistics, 2014, v. 23, n. 4, p. 1044, doi. 10.1080/10618600.2013.842489

By:

Ha, Il Do;
Pan, Jianxin;
Oh, Seungyoung;
Lee, Youngjo

Publication type:

Article

Estimating Frailty Models via Poisson Hierarchical Generalized Linear Models.

Published in:

Journal of Computational & Graphical Statistics, 2003, v. 12, n. 3, p. 663, doi. 10.1198/1061860032256

By:

Il Do Ha;
Youngjo Lee

Publication type:

Article