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Journal of Cellular Physiology.2019;234(10)18763
[DOI]
2Modeling High Wind Speed Shut-Down Events Using Meso-Scale Wind Profiles and Survival Analysis
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IEEE Transactions on Power Systems.2019;34(6)4955
[DOI]
3Novel Application of Survival Models for Predicting Microbial Community Transitions with Variable Selection for Environmental DNA
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[DOI]
4Biochemical recurrence after radical prostatectomy according to nadir prostate specific antigen value
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PLOS ONE.2021;16(5)e0249709
[DOI]
5Essais contrôlés randomisés : quelques clés méthodologiques pour comprendre
C. Gauvain
Revue des Maladies Respiratoires Actualités.2021;13(2)2S55
[DOI]
6An evaluation of an apprentice selection process
Juliet I. Puchert,Roelf Van Niekerk,Kim Viljoen
Acta Commercii.2022;22(1)2S55
[DOI]
7Duration of disease influences survival to discharge of Thoroughbred mares with surgically treated large colon volvulus
E. S. Hackett,R. M. Embertson,S. A. Hopper,J. B. Woodie,A. J. Ruggles
Equine Veterinary Journal.2015;47(6)650
[DOI]
8Large-Scale Transcriptomics-Driven Approach Revealed Overexpression of CRNDE as a Poor Survival Prognosis Biomarker in Glioblastoma
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Cancers.2021;13(14)3419
[DOI]
9Large-Scale Transcriptomics-Driven Approach Revealed Overexpression of CRNDE as a Poor Survival Prognosis Biomarker in Glioblastoma
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[DOI]
10A novel method as a diagnostic tool for the detection of influential observations in the Cox proportional hazards model
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Quality & Quantity.2018;52(S2)1253
[DOI]
11Time-to-event survival statistics in ophthalmology: Methodological research
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Clinical & Experimental Ophthalmology.2020;48(9)1136
[DOI]
12Development and internal validation of a prognostic model for mortality of patients with abdominal aortic aneurysms treated with endovascular aneurysm repair
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Vasa.2021;50(2)125
[DOI]
13A neural system dynamics modeling platform and its applications in randomized controlled trial data analysis
Nadira Hamid,Joydeep Sarkar,Bjorn Redfors,Anisha Balani,Rajagopalan Ramaswamy,Abhijit Ghosh,Maria Alu,Aaron Crowley,Yiran Zhang,Martin B. Leon,Gregg W. Stone,Juan F. Granada
Informatics in Medicine Unlocked.2021;24(2)100612
[DOI]
14CondiS: A conditional survival distribution-based method for censored data imputation overcoming the hurdle in machine learning-based survival analysis
Yizhuo Wang,Christopher R. Flowers,Ziyi Li,Xuelin Huang
Journal of Biomedical Informatics.2022;131(2)104117
[DOI]
15The impact of morcellation on survival outcomes of undiagnosed uterine sarcoma
Francesco Raspagliesi,Giorgio Bogani,Domenica Lorusso
Gynecologic Oncology Reports.2018;23(2)37
[DOI]
16Prognostic implications of aberrantly expressed methylation-driven genes in hepatocellular carcinoma: A study based on The Cancer Genome Atlas
Jinzhong Li,Ning Chen,Xiaobing Gong
Molecular Medicine Reports.2019;23(2)37
[DOI]
17Use of Time-to-Event Analysis to Develop On-Scene Return of Spontaneous Circulation Prediction for Out-of-Hospital Cardiac Arrest Patients
Jeong Ho Park,Jinwook Choi,SangMyeong Lee,Sang Do Shin,Kyoung Jun Song
Annals of Emergency Medicine.2022;79(2)132
[DOI]
18Application of Artificial Intelligence Techniques to Predict Survival in Kidney Transplantation: A Review
Covadonga Díez-Sanmartín,Antonio Sarasa Cabezuelo
Journal of Clinical Medicine.2020;9(2)572
[DOI]
19Local Recurrence After Microwave Ablation of Lung Malignancies: A Systematic Review
David B. Nelson,Alda L. Tam,Kyle G. Mitchell,David C. Rice,Reza J. Mehran,Boris Sepesi,Mara B. Antonoff,Ara A. Vaporciyan,Wayne L. Hofstetter
The Annals of Thoracic Surgery.2019;107(6)1876
[DOI]
20Prognostic value of aberrantly expressed methylation gene profiles in lung squamous cell carcinoma: A study based on The Cancer Genome Atlas
Chundi Gao,Jing Zhuang,Chao Zhou,Ke Ma,Minzhang Zhao,Cun Liu,Lijuan Liu,Huayao Li,Fubin Feng,Changgang Sun
Journal of Cellular Physiology.2019;234(5)6519
[DOI]
21Cure models to estimate time until hospitalization due to COVID-19
Maria Pedrosa-Laza,Ana López-Cheda,Ricardo Cao
Applied Intelligence.2022;52(1)794
[DOI]
22Effect of collaborative depression treatment on risk for diabetes: A 9-year follow-up of the IMPACT randomized controlled trial
Tasneem Khambaty,Christopher M. Callahan,Jesse C. Stewart,Jerson Laks
PLOS ONE.2018;13(8)e0200248
[DOI]
23Survival analysis of confirmed elephant endotheliotropic herpes virus cases in Thailand from 2006 – 2018
Khajohnpat Boonprasert,Veerasak Punyapornwithaya,Pallop Tankaew,Taweepoke Angkawanish,Supaphen Sriphiboon,Chatchote Titharam,Janine L. Brown,Chaleamchat Somgird,Graciela Andrei
PLOS ONE.2019;14(7)e0219288
[DOI]
24Research on the Indices for Demonstrating Cell Conditions
Ik-Hyun Kim,Sung-Bum Pan
Journal of Sensor Science and Technology.2012;21(5)324
[DOI]
25Exploration of morbidity, suicide and all-cause mortality in a Scottish forensic cohort over 20 years
Cheryl Rees,Lindsay Thomson
BJPsych Open.2020;6(4)324
[DOI]
26Safety, Immunogenicity and Antibody Persistence of Rift Valley Fever Virus Clone 13 Vaccine in Sheep, Goats and Cattle in Tanzania
Calvin Sindato,Esron D. Karimuribo,Emmanuel S. Swai,Leonard E. G. Mboera,Mark M. Rweyemamu,Janusz T. Paweska,Jeremy Salt
Frontiers in Veterinary Science.2021;8(4)324
[DOI]
27Le concept de l’analyse de survie : vérifier l’applicabilité
P. Mouracade
Progrčs en Urologie.2017;27(6)331
[DOI]
28Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model
Yuan Xia,Chuanwei Yang,Nan Hu,Zhenzhou Yang,Xiaoyu He,Tingting Li,Le Zhang
BMC Genomics.2017;18(S1)331
[DOI]
29Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model
Matthew Groch,Hendrik J. Vermeulen
BMC Genomics.2019;18(S1)1
[DOI]
30Discovery and validation of methylated-differentially expressed genes in Helicobacter pylori-induced gastric cancer
Duanrui Liu,Xiaoli Ma,Fei Yang,Dongjie Xiao,Yanfei Jia,Yunshan Wang
Cancer Gene Therapy.2020;27(6)473
[DOI]
31Survival functions for defining a clinical management Lost To Follow-Up (LTFU) cut-off in Antiretroviral Therapy (ART) program in Zomba, Malawi
Beth Rachlis,Donald C. Cole,Monique van Lettow,Michael Escobar
BMC Medical Informatics and Decision Making.2016;16(1)473
[DOI]
32DCE-MRI prediction of survival time for patients with glioblastoma multiforme: using an adaptive neuro-fuzzy-based model and nested model selection technique
Azimeh N.V. Dehkordi,Alireza Kamali-Asl,Ning Wen,Tom Mikkelsen,Indrin J. Chetty,Hassan Bagher-Ebadian
NMR in Biomedicine.2017;30(9)e3739
[DOI]
33Deep Learning for Cardiovascular Risk Stratification
Daphne E. Schlesinger,Collin M. Stultz
Current Treatment Options in Cardiovascular Medicine.2020;22(8)e3739
[DOI]
34Radiomics, machine learning, and artificial intelligence—what the neuroradiologist needs to know
Matthias W. Wagner,Khashayar Namdar,Asthik Biswas,Suranna Monah,Farzad Khalvati,Birgit B. Ertl-Wagner
Neuroradiology.2021;63(12)1957
[DOI]
35Detecting Cancer Survival Related Gene Markers Based on Rectified Factor Network
Lingtao Su,Guixia Liu,Juexin Wang,Jianjiong Gao,Dong Xu
Frontiers in Bioengineering and Biotechnology.2020;8(12)1957
[DOI]
36Cancer recurrence times from a branching process model
Stefano Avanzini,Tibor Antal,Philip K Maini
PLOS Computational Biology.2019;15(11)e1007423
[DOI]
37Cancer recurrence times from a branching process model
ThongT. Nguyen,Siu Cheung Hui
PLOS Computational Biology.2018;15(11)314
[DOI]
38A High-Stakes Approach to Response Time Effort in Low-Stakes Assessment
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International Journal of Educational Methodology.2021;7(4)571
[DOI]
39Choosing statistical tests for survival analysis
Ilker  Etikan
Biometrics & Biostatistics International Journal.2018;7(5)571
[DOI]
40Influence of Load on Reliability of Storage Area Networks
Guixiang Lv,Liudong Xing
International Journal of Mathematical, Engineering and Management Sciences.2021;6(6)1533
[DOI]
41Receipt of thyroid hormone deficiency treatment and risk of herpes zoster
Shao-Chung V. Hsia,Lie Hong Chen,Hung-Fu Tseng
International Journal of Infectious Diseases.2017;59(6)90
[DOI]
42Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks
Daniel Jarrett,Jinsung Yoon,Mihaela van der Schaar
IEEE Journal of Biomedical and Health Informatics.2020;24(2)424
[DOI]
43The Effect of High Glucose Intake on Weight Gain in Very Low Birth Weight Neonates: A Randomized Controlled Trial
Farhad Choobdar,Ali Mazouri,Farnaz Firuzian,Maral Ghasemzadeh,Zahra Vahedi
Clinical Pediatrics.2021;60(14)577
[DOI]
44Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective
John Kang,Russell Schwartz,John Flickinger,Sushil Beriwal
International Journal of Radiation Oncology*Biology*Physics.2015;93(5)1127
[DOI]
45Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention
Omneya Attallah,Alan Karthikesalingam,Peter J. E. Holt,Matthew M. Thompson,Rob Sayers,Matthew J. Bown,Eddie C. Choke,Xianghong Ma
BMC Medical Informatics and Decision Making.2017;17(1)1127
[DOI]
46Predicting outcomes in anal cancer patients using multi-centre data and distributed learning – A proof-of-concept study
Ananya Choudhury,Stelios Theophanous,Per-Ivar Lřnne,Robert Samuel,Marianne Grřnlie Guren,Maaike Berbee,Peter Brown,John Lilley,Johan van Soest,Andre Dekker,Alexandra Gilbert,Eirik Malinen,Leonard Wee,Ane L. Appelt
Radiotherapy and Oncology.2021;159(1)183
[DOI]
47Predicting outcomes in anal cancer patients using multi-centre data and distributed learning – A proof-of-concept study
Nisreen Osman Abdelsalam,Murtada Khalafallah Elbashir,SaadEldeen Mohammed SaadEldeen
Radiotherapy and Oncology.2018;159(1)1
[DOI]
48Business or Basic Needs? The Impact of Loan Purpose on Social Crowdfunding Platforms
Hadar Gafni,Marek Hudon,Anaďs Périlleux
Journal of Business Ethics.2021;173(4)777
[DOI]
49Glioma segmentation of optimized 3D U-net and prediction of multi-modal survival time
Qihong Liu,Kai Liu,Antonio Bolufé-Röhler,Jing Cai,Ling He
Neural Computing and Applications.2022;34(1)211
[DOI]
50Incidence of morbidity and mortality in calves from birth to six months of age and associated risk factors on dairy farms in Hawassa city, southern Ethiopia
Debele Hordofa,Fufa Abunna,Bekele Megersa,Rahmeto Abebe
Heliyon.2021;7(12)e08546
[DOI]
51Quantifying Domestic Used Electronics Flows using a Combination of Material Flow Methodologies: A US Case Study
T. Reed Miller,Huabo Duan,Jeremy Gregory,Ramzy Kahhat,Randolph Kirchain
Environmental Science & Technology.2016;50(11)5711
[DOI]
52Bayesian neural network approach for determining the risk of re-intervention after endovascular aortic aneurysm repair
Omneya Attallah,Xianghong Ma
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine.2014;228(9)857
[DOI]
53Probability of receiving a high cumulative radiation dose and primary clinical indication of CT examinations: a 5-year observational cohort study
Cécile R L P N Jeukens,Hub Boere,Bart A J M Wagemans,Patty J Nelemans,Estelle C Nijssen,Rebecca Smith-Bindman,Joachim E Wildberger,Anna M Sailer
BMJ Open.2021;11(1)e041883
[DOI]
54Probability of receiving a high cumulative radiation dose and primary clinical indication of CT examinations: a 5-year observational cohort study
Hsin-Hsiung Chang,Jung-Hsien Chiang,Cheng-Chung Chu
BMJ Open.2021;11(1)626
[DOI]
55Probability of receiving a high cumulative radiation dose and primary clinical indication of CT examinations: a 5-year observational cohort study
Thomas Dandekar,Meik Kunz
BMJ Open.2021;11(1)331
[DOI]
56Morphological Spectrum and Survival Analysis of Diffuse Midline Glioma With H3K27M Mutation
Usman Hassan,Maliha Latif,Irfan Yousaf,Saad Bin Anees,Sajid Mushtaq,Noreen Akhtar,Asif Loya
Cureus.2021;11(1)331
[DOI]
57Morphological Spectrum and Survival Analysis of Diffuse Midline Glioma With H3K27M Mutation
Ieva Jonaityte,Linas Petkevicius
Cureus.2021;11(1)1
[DOI]
58Association of Survival With Femoropopliteal Artery Revascularization With Drug-Coated Devices
Eric A. Secemsky,Harun Kundi,Ido Weinberg,Michael R. Jaff,Anna Krawisz,Sahil A. Parikh,Joshua A. Beckman,Jihad Mustapha,Kenneth Rosenfield,Robert W. Yeh
JAMA Cardiology.2019;4(4)332
[DOI]
59The effects of lower CD34 yields after lowe dose G-CSF induction on long-term autologous stem cell transplantation outcome: A single center study
Mohammad Vaezi,Mohammad Shakouri,Maryam Souri,Mohammad Amin Setaredan,Seyed Asadollah Mossavi,Saeed Mohammadi,Kamran Alimoghaddam,Ardeshir Ghavamzadeh
Transfusion and Apheresis Science.2018;57(2)265
[DOI]
60A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models
Enrico Longato,Martina Vettoretti,Barbara Di Camillo
Journal of Biomedical Informatics.2020;108(2)103496
[DOI]
61A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models
Thomas Dandekar,Meik Kunz
Journal of Biomedical Informatics.2021;108(2)215
[DOI]
62A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models
Ross J. Baldessarini
Journal of Biomedical Informatics.2013;108(2)89
[DOI]
63Identification of methylation-driven genes related to prognosis in clear-cell renal cell carcinoma
Jia Wang,Qiujing Zhang,Qingqing Zhu,Chengxiang Liu,Xueli Nan,Fuxia Wang,Lihua Fang,Jie Liu,Chao Xie,Shuai Fu,Bao Song
Journal of Cellular Physiology.2020;235(2)1296
[DOI]
64Usability of deep learning and H&E images predict disease outcome-emerging tool to optimize clinical trials
Talha Qaiser,Ching-Yi Lee,Michel Vandenberghe,Joe Yeh,Marios A. Gavrielides,Jason Hipp,Marietta Scott,Joachim Reischl
npj Precision Oncology.2022;6(1)1296
[DOI]
65Eye-Tracker Analysis of the Contrast Sensitivity of Anomalous and Normal Trichromats: A Loglinear Examination with Landolt-C Figures
László Sipos,Attila Gere,Zoltán Kókai,Ákos Nyitrai,Sándor Kovács,Ágnes Urbin,Krisztián Samu,Klára Wenzel
Applied Sciences.2021;11(7)3200
[DOI]
66Methods to Analyze Time-to-Event Data: The Cox Regression Analysis
Samar Abd ElHafeez,Graziella D’Arrigo,Daniela Leonardis,Maria Fusaro,Giovanni Tripepi,Stefanos Roumeliotis,Alexandros Georgakilas
Oxidative Medicine and Cellular Longevity.2021;2021(7)1
[DOI]
67Causal survival analysis: A guide to estimating intention-to-treat and per-protocol effects from randomized clinical trials with non-adherence
Eleanor J Murray,Ellen C Caniglia,Lucia C Petito
Research Methods in Medicine & Health Sciences.2021;2(1)39
[DOI]
68Identification of cancer prognosis-associated lncRNAs based on the miRNA-TF co-regulatory motifs and dosage sensitivity
Yinling Zhu,Siyao Dong,Yanjiao Zhu,Yichuan Zhao,Yan Xu
Molecular Omics.2019;15(5)361
[DOI]
69On the Use of Cox Regression for Statistical Analysis of Fatigue Life Results
K. Narynbek Ulu,B. Huneau,E. Verron,A. S. Béranger,P. Heuillet
Journal of Testing and Evaluation.2020;48(2)20180541
[DOI]
70Estimating Dynamic Signals From Trial Data With Censored Values
Ali Yousefi,Darin D. Dougherty,Emad N. Eskandar,Alik S. Widge,Uri T. Eden
Computational Psychiatry.2017;1(0)58
[DOI]
71Identification of methylation sites and signature genes with prognostic value for luminal breast cancer
Bin Xiao,Lidan Chen,Yongli Ke,Jianfeng Hang,Ling Cao,Rong Zhang,Weiyun Zhang,Yang Liao,Yang Gao,Jianyun Chen,Li Li,Wenbo Hao,Zhaohui Sun,Linhai Li
BMC Cancer.2018;18(1)58
[DOI]
72Topic modeling for cluster analysis of large biological and medical datasets
Weizhong Zhao,Wen Zou,James J Chen
BMC Bioinformatics.2014;15(S11)58
[DOI]
73Clinical outcome after mosaicplasty of knee articular cartilage defects of patellofemoral joint versus tibiofemoral joint
Eirik Solheim,Janne Hegna,Eivind Inderhaug
Journal of Orthopaedics.2020;18(S11)36
[DOI]
74A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data
G. Nicora,F. Moretti,E. Sauta,M. Della Porta,L. Malcovati,M. Cazzola,S. Quaglini,R. Bellazzi
Journal of Biomedical Informatics.2020;104(S11)103398
[DOI]
75A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data
Amir Momeni,Matthew Pincus,Jenny Libien
Journal of Biomedical Informatics.2018;104(S11)201
[DOI]
76A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data
Eileen M. Stock,Kousick Biswas
Journal of Biomedical Informatics.2017;104(S11)125
[DOI]
77Methodological Issues in Randomized Clinical Trials for Prodromal Alzheimer's and Parkinson's Disease
Camila Henriques de Aquino
Frontiers in Neurology.2021;12(S11)125
[DOI]
78A workflow for the joint modeling of longitudinal and event data in the development of therapeutics: Tools, statistical methods, and diagnostics
Kirill Zhudenkov,Sergey Gavrilov,Alina Sofronova,Oleg Stepanov,Nataliya Kudryashova,Gabriel Helmlinger,Kirill Peskov
CPT: Pharmacometrics & Systems Pharmacology.2022;11(4)425
[DOI]
79Data Mining of Gene Arrays for Biomarkers of Survival in Ovarian Cancer
Clare Coveney,David Boocock,Robert Rees,Suha Deen,Graham Ball
Microarrays.2015;4(3)324
[DOI]
80Using median survival in meta-analysis of experimental time-to-event data
Theodore C. Hirst,Emily S. Sena,Malcolm R. Macleod
Systematic Reviews.2021;10(1)324
[DOI]
81Missing data treatments in intervention studies: What was, what is, and what should be
Charlie Rioux,Todd D. Little
International Journal of Behavioral Development.2021;45(1)51
[DOI]
82Missing data treatments in intervention studies: What was, what is, and what should be
Sudip Mondal,Namrata Bhattacharya,Troyee Das,Zhumur Ghosh,Sunirmal Khatua
International Journal of Behavioral Development.2021;45(1)57
[DOI]
83Missing data treatments in intervention studies: What was, what is, and what should be
Vsevolod Novikov,Anastasia Novikova,Oleksandr Mieshkov,Zenon Yu Hotra
International Journal of Behavioral Development.2018;45(1)656
[DOI]
84Machine Learning vs. Survival Analysis Models: a study on right censored heart failure data
B. Srujana,Dhananjay Verma,Sameen Naqvi
Communications in Statistics - Simulation and Computation.2022;45(1)1
[DOI]
85Determinants of different birth intervals of ever married women: Evidence from Bangladesh
Benojir Ahammed,Md. Rasel Kabir,Md. Menhazul Abedin,Mohammad Ali,Md. Akhtarul Islam
Clinical Epidemiology and Global Health.2019;7(3)450
[DOI]
86Effect of temperature and relative humidity on the development times and survival of Synopsyllus fonquerniei and Xenopsylla cheopis, the flea vectors of plague in Madagascar
Katharina S. Kreppel,Sandra Telfer,Minoarisoa Rajerison,Andy Morse,Matthew Baylis
Parasites & Vectors.2016;9(1)450
[DOI]
87Anticoagulants effect on pre-adult growth of Aedes aegypti using artificial membrane feeding with stochastic approach
A. Ahdika,N. Lusiyana,M.H.S. Kurniawan
Model Assisted Statistics and Applications.2016;11(4)339
[DOI]
88Immediate Rehabilitation of Completely Edentulous Jaws With Fixed Prostheses Supported by Implants Placed Into Fresh Extraction Sockets and in Healed Sites
Ugo Covani,Bruno Orlando,Aniello D'Ambrosio,Vincenzo Bucci Sabattini,Antonio Barone
Implant Dentistry.2012;21(4)272
[DOI]
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