Search Results

Filter
  • 1-10 of  218,017 results for ""Survival Analysis""
Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request
Academic Journal

Statistical primer: individual patient data meta-analysis and meta-analytic approaches in case of non-proportional hazards.

  • Authors : An KR; Department of Cardiothoracic Surgery, Weill Cornell Medicine, New York, NY, USA.; Division of Cardiac Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.

Subjects: Survival Analysis*; Humans

  • Source: European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery [Eur J Cardiothorac Surg] 2024 Mar 29; Vol. 65 (4).Publisher: Oxford University Press Country of Publication: Germany NLM ID: 8804069 Publication Model: Print Cited Medium: Internet ISSN:

Record details

×
Academic Journal

Survival analysis under imperfect record linkage using historic census data.

  • Authors : Marks-Anglin AK; Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Barg FK

Subjects: Censuses* ; Survival Analysis*; Female

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2024 Mar 13; Vol. 24 (1), pp. 67. Date of Electronic Publication: 2024 Mar 13.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

Record details

×
Editorial & Opinion

Eliminating Bias in Survival Estimation: Statistical Bias Mitigation Is the First Step Forward.

  • Authors : Kohn R; Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.; Palliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.

Subjects: Bias* ; Survival Analysis*

  • Source: Critical care medicine [Crit Care Med] 2024 Mar 01; Vol. 52 (3), pp. 506-509. Date of Electronic Publication: 2024 Feb 21.Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0355501 Publication Model: Print-Electronic Cited Medium:

Record details

×
Academic Journal

The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models.

  • Authors : Alabdallah A; Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Sweden. Electronic address: .; Ohlsson M

Subjects: Machine Learning* ; Neural Networks, Computer* ; Survival Analysis*

  • Source: Artificial intelligence in medicine [Artif Intell Med] 2024 Feb; Vol. 148, pp. 102781. Date of Electronic Publication: 2024 Jan 17.Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet

Record details

×
Academic Journal

An Overview of Introductory and Advanced Survival Analysis Methods in Clinical Applications: Where Have we Come so far?

  • Authors : Beis G; Department of Research and Development, Research Genetic Cancer Centre SA, Industrial Area of Florina, Florina, Greece.; Iliopoulos A

Subjects: Survival Analysis*; Humans ; Proportional Hazards Models

  • Source: Anticancer research [Anticancer Res] 2024 Feb; Vol. 44 (2), pp. 471-487.Publisher: International Institute of Anticancer Research Country of Publication: Greece NLM ID: 8102988 Publication Model: Print Cited Medium: Internet

Record details

×
Academic Journal

CenTime: Event-conditional modelling of censoring in survival analysis.

  • Authors : Shahin AH; Centre for Artificial Intelligence, University College London, London, UK; Centre for Medical Image Computing, University College London, London, UK. Electronic address: .

Subjects: Survival Analysis*; Humans ; Proportional Hazards Models

  • Source: Medical image analysis [Med Image Anal] 2024 Jan; Vol. 91, pp. 103016. Date of Electronic Publication: 2023 Oct 29.Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

Record details

×
Academic Journal

Imputation methods for informative censoring in survival analysis with time dependent covariates.

  • Authors : Jin M; Data and Statistical Sciences, AbbVie Inc., North Chicago 60064, IL, USA. Electronic address: .

Subjects: Survival Analysis*; Humans ; Proportional Hazards Models

  • Source: Contemporary clinical trials [Contemp Clin Trials] 2024 Jan; Vol. 136, pp. 107401. Date of Electronic Publication: 2023 Nov 22.Publisher: Elsevier Country of Publication: United States NLM ID: 101242342 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

Record details

×
Academic Journal

Causal survival analysis under competing risks using longitudinal modified treatment policies.

  • Authors : Díaz I; Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY, 10016, USA. .; Hoffman KL

Subjects: Models, Statistical* ; Survival Analysis*; Humans

  • Source: Lifetime data analysis [Lifetime Data Anal] 2024 Jan; Vol. 30 (1), pp. 213-236. Date of Electronic Publication: 2023 Aug 24.Publisher: Springer Country of Publication: United States NLM ID: 9516348 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

Record details

×
Academic Journal

Evaluation of Flexible Parametric Relative Survival Approaches for Enforcing Long-Term Constraints When Extrapolating All-Cause Survival.

  • Authors : Lee S; Biostatistics Research Group, Department of Population Health Sciences, University of Leicester, Leicester, England, UK. Electronic address: .; Lambert PC

Subjects: Survival Analysis*; Humans

  • Source: Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research [Value Health] 2024 Jan; Vol. 27 (1), pp. 51-60. Date of Electronic Publication: Publisher: Elsevier Country of Publication: United States NLM ID: 100883818 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

Record details

×
Academic Journal

Deep learning model for predicting the survival of patients with primary gastrointestinal lymphoma based on the SEER database and a multicentre external validation cohort.

  • Authors : Wang F; Gastrointestinal Disease Diagnosis and Treatment Center, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, China.; Chen L

Subjects: Deep Learning* ; Gastrointestinal Neoplasms*/Gastrointestinal Neoplasms*/Gastrointestinal Neoplasms*/mortality ; Lymphoma*/Lymphoma*/Lymphoma*/mortality

  • Source: Journal of cancer research and clinical oncology [J Cancer Res Clin Oncol] 2023 Oct; Vol. 149 (13), pp. 12177-12189. Date of Electronic Publication: 2023 Jul 10.Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 7902060 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

Record details

×
  • 1-10 of  218,017 results for ""Survival Analysis""