Výsledky vyhľadávania - "Time-dependent confounding"

Causal estimation of time-varying treatments in observational studies: a scoping review of methods, applications, and missing data practices

Autori: Mercy Rop Innocent Maposa Taryn Young a ďalší

Zdroj: BMC Medical Research Methodology, Vol 25, Iss 1, Pp 1-14 (2025)

Predmety: Time-varying treatments, Time-dependent confounding, Causal inference, Observational studies, Real-world data, Doubly robust, Medicine (General), R5-920

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1471-2288

Prístupová URL adresa: https://doaj.org/article/b984656a21a248d39afd9ffd5624f958

Revisiting the sequence symmetry analysis design

Autori: Jeppe Ekstrand Halkjær Madsen

Zdroj: Madsen, J E H 2025, ' Revisiting the sequence symmetry analysis design ', Scandinavian Journal of Statistics, vol. 52, no. 1, pp. 469-479 . https://doi.org/10.1111/sjos.12759

Predmety: self-controlled designs, sequence symmetry analysis, self-controlled case-series analysis, unmeasured confounding, time-dependent confounding

Popis súboru: application/pdf

Prístupová URL adresa: https://curis.ku.dk/ws/files/422970446/Scandinavian_J_Statistics_2024_Madsen_Revisiting_the_sequence_symmetry_analysis_design.pdf

Estimating the causal impact of non-pharmaceutical interventions on COVID-19 spread in seven EU countries via machine learning

Autori: Jannis Guski Jonas Botz Holger Fröhlich

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Predmety: Causal machine learning, Policy recommendation, Time-dependent confounding, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/14a1033287544a3c8f81405475ebdc86

Addressing treatment switching in the ALTA-1L trial with g-methods: exploring the impact of model specification

Autori: Amani Al Tawil Sean McGrath Robin Ristl a ďalší

Zdroj: BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-22 (2024)

Predmety: Survival analysis, Treatment switching, Time-dependent confounding, Treatment-confounder feedback, IPCW, Parametric g-formula, Medicine (General), R5-920

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1471-2288

Prístupová URL adresa: https://doaj.org/article/39a5b1d6baf3408c83fa74836fe13a8f

Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural models

Autori: Keogh, Ruth H Gran, Jon Michael Seaman, Shaun R a ďalší

Prispievatelia: Keogh, Ruth H Gran, Jon Michael Seaman, Shaun R a ďalší

Zdroj: Stat Med
STATISTICS IN MEDICINE

Predmety: marginal structural model, FOS: Computer and information sciences, PREDICTOR, survival, 01 natural sciences, Cystic fibrosis, RESEARCH ARTICLES, time-dependent confounding, RESEARCH ARTICLE, cystic fibrosis, Methodology (stat.ME), 03 medical and health sciences, 0302 clinical medicine, sequential trials, REGRESSION, Humans, UK, Longitudinal Studies, 0101 mathematics, COX APPROACH, Statistics - Methodology, Research Articles, Probability, RISK, Models, Statistical, MORTALITY, registries, target trials, Survival Analysis, TIME, EMULATION, Causality, Models, Structural, Mathematics and Statistics, Treatment Outcome, time‐dependent confounding, TARGET TRIAL, inverse probability weighting

Popis súboru: application/pdf; text/xml

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37086186
http://arxiv.org/abs/2110.03117
http://hdl.handle.net/10852/106657
https://doi.org/10.1002/sim.9718
https://www.repository.cam.ac.uk/handle/1810/349056
https://doi.org/10.1002/sim.9718
https://discovery-pp.ucl.ac.uk/id/eprint/10169010/
http://hdl.handle.net/1854/LU-01H04YM8DMRJ01ENE58HD9M774
https://biblio.ugent.be/publication/01H04YM8DMRJ01ENE58HD9M774
https://biblio.ugent.be/publication/01H04YM8DMRJ01ENE58HD9M774/file/01H933H8BAZFXQ833GMVH9S0Y2
http://doi.org/10.1002/sim.9718

Dealing with time‐dependent exposures and confounding when defining and estimating attributable fractions—Revisiting estimands and estimators

Autori: Johan Steen Paweł Morzywołek Wim Van Biesen a ďalší

Zdroj: STATISTICS IN MEDICINE

Predmety: Statistics and Probability, INTENSIVE-CARE-UNIT, INVERSE-PROBABILITY, Epidemiology, time-dependent confounding, Time, population-attributable fraction, Bias, Medicine and Health Sciences, Humans, causal inference, Probability, INFECTION SURVEILLANCE, Models, Statistical, MORTALITY, BONE-MARROW-TRANSPLANTATION, COMPETING RISKS, 3. Good health, Mathematics and Statistics, multistate modeling, KAPLAN-MEIER, CAUSAL INFERENCE, time-dependent exposure, MULTISTATE MODELS, TARGET TRIAL, inverse probability of censoring weighting

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38122818
http://hdl.handle.net/1854/LU-01HJ8AWYNRCBFFDJWA4PG8C8YS
http://doi.org/10.1002/sim.9988
https://biblio.ugent.be/publication/01HJ8AWYNRCBFFDJWA4PG8C8YS/file/01HRSJ2NHQH1C6Q25Y14WMJ576
https://biblio.ugent.be/publication/01HJ8AWYNRCBFFDJWA4PG8C8YS

Additional file 1 of Causal estimation of time-varying treatments in observational studies: a scoping review of methods, applications, and missing data practices

Autori: Mercy Rop Innocent Maposa Taryn Young a ďalší

Predmety: Statistics, Time-varying treatments, Time-dependent confounding, Causal inference, Observational studies, Real-world data, Doubly robust, Singly robust, Missing data, Scoping review

Dostupnosť: https://doi.org/10.6084/m9.figshare.29992874.v1
https://figshare.com/articles/journal_contribution/Additional_file_1_of_Causal_estimation_of_time-varying_treatments_in_observational_studies_a_scoping_review_of_methods_applications_and_missing_data_practices/29992874

Simulating Data From Marginal Structural Models for a Survival Time Outcome

Autori: Seaman, Shaun R Keogh, Ruth H DSpace at Cambridge pro (8.1)

Prispievatelia: Seaman, Shaun R Keogh, Ruth H DSpace at Cambridge pro (8.1)

Zdroj: Biom J

Predmety: Male, FOS: Computer and information sciences, Biometry, Models, Statistical, compatible models, congenial models, Survival Analysis, simulation studies, survival analysis, Methodology (stat.ME), sandwich estimator, time‐dependent confounding, Humans, causal inference, bootstrap, Statistics - Methodology, continuous‐time marginal structural model, Algorithms, Research Article

Popis súboru: application/pdf; text/xml

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39579051
http://arxiv.org/abs/2309.05025
https://www.repository.cam.ac.uk/handle/1810/375476
https://doi.org/10.1002/bimj.70010
https://doi.org/10.17863/cam.113188

Real-world cost-effectiveness studies: How to deal with confounding?

Autori: Varga, Anita Natália

Zdroj: Varga , A N 2024 , ' Real-world cost-effectiveness studies: How to deal with confounding? ' , PhD , Vrije Universiteit Amsterdam . https://doi.org/10.5463/thesis.769

Predmety: confounding, selection-bias, time-dependent confounding, cost-effectiveness analysis

Popis súboru: application/pdf; image/jpeg

Dostupnosť: https://research.vu.nl/en/publications/172becdc-ddd5-4355-a209-fe3ededd04c4
https://doi.org/10.5463/thesis.769
https://hdl.handle.net/1871.1/172becdc-ddd5-4355-a209-fe3ededd04c4
https://research.vu.nl/ws/files/363009419/anvfinalthesis%20-%20670baf139d417.pdf
https://research.vu.nl/ws/files/363009421/anvfinalthesis_670baf139d417_670bb11d1af15.jpg
https://research.vu.nl/ws/files/363009423/titlepage%20-%2066811f3e232ec.pdf

Avoiding Time-Related Biases: A Feasibility Study on Antidiabetic Drugs and Pancreatic Cancer Applying the Parametric g-Formula to a Large German Healthcare Database

Autori: Claudia Börnhorst Tammo Reinders Wolfgang Rathmann a ďalší

Zdroj: Clin Epidemiol
Clinical Epidemiology, Vol Volume 13, Pp 1027-1038 (2021)
Clinical epidemiology, 13:1027-1038

Predmety: time-related bias, type-2 diabetes mellitus, Infectious and parasitic diseases, RC109-216, time-dependent confounding, 3. Good health, 12. Responsible consumption, 03 medical and health sciences, 0302 clinical medicine, parametric g-formula, Target trial emulation, Time-related bias, Type-2 diabetes mellitus, Electronic health data, Parametric g-formula, Time-dependent confounding, electronic health data, Clinical Epidemiology, target trial emulation, Original Research

Popis súboru: text/html

Prístupová URL adresa: https://www.dovepress.com/getfile.php?fileID=75343
https://pubmed.ncbi.nlm.nih.gov/34737647
https://doaj.org/article/5ba6a3a15ccb401eab0402768c54854a
https://www.dovepress.com/avoiding-time-related-biases-a-feasibility-study-on-antidiabetic-drugs-peer-reviewed-fulltext-article-CLEP
https://www.dovepress.com/avoiding-time-related-biases-a-feasibility-study-on-antidiabetic-drugs-peer-reviewed-fulltext-article-CLEP
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560066/
https://europepmc.org/article/MED/34737647
https://repository.publisso.de/resource/frl:6433168

Simulating longitudinal data from marginal structural models using the additive hazard model

Autori: Shaun R. Seaman Ruth H. Keogh Jon Michael Gran a ďalší

Prispievatelia: Shaun R. Seaman Ruth H. Keogh Jon Michael Gran a ďalší

Zdroj: BIOMETRICAL JOURNAL

Predmety: Statistics and Probability, marginal structural model, FOS: Computer and information sciences, longitudinal data, additive hazard model, 01 natural sciences, time-dependent confounding, survival analysis, Methodology (stat.ME), 03 medical and health sciences, 0302 clinical medicine, RESEARCH PAPERS, Computer Simulation, causal inference, 0101 mathematics, Statistics - Methodology, Proportional Hazards Models, Models, Statistical, Statistics, COX, General Medicine, congenial models, simulation study, FAILURE TIME MODELS, Models, Structural, Mathematics and Statistics, time‐dependent confounding, CAUSAL INFERENCE, SURVIVAL, Probability and Uncertainty, INVERSE PROBABILITY WEIGHTS, dependent confounding, time‐, RESEARCH PAPER

Popis súboru: application/pdf; text/xml

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bimj.202000040
https://pubmed.ncbi.nlm.nih.gov/33983641
http://arxiv.org/abs/2002.03678
https://researchonline.lshtm.ac.uk/id/eprint/4662881/1/bimj.202000040.pdf
https://biblio.ugent.be/publication/8710284
https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202000040
https://www.ncbi.nlm.nih.gov/pubmed/33983641
https://onlinelibrary.wiley.com/doi/10.1002/bimj.202000040
https://researchonline.lshtm.ac.uk/id/eprint/4662881/
https://pubmed.ncbi.nlm.nih.gov/33983641/
https://biblio.ugent.be/publication/8710284
http://doi.org/10.1002/bimj.202000040
https://biblio.ugent.be/publication/8710284/file/8732189
http://hdl.handle.net/1854/LU-8710284

Addressing treatment switching bias in the ALTA-1L trial with g-methods: exploring the impact of model specification

Autori: Al Tawil, Amani McGrath, Sean Ristl, Robin a ďalší

Zdroj: BMC Med Res Methodol
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-22 (2024)

Predmety: Medicine (General), Lung Neoplasms, Pyridines, 01 natural sciences, IPCW, 03 medical and health sciences, R5-920, Organophosphorus Compounds, 0302 clinical medicine, Crizotinib, Parametric g-formula, Humans, Treatment switching, 0101 mathematics, Proportional Hazards Models, Randomized Controlled Trials as Topic, Models, Statistical, Treatment-confounder feedback, Research, Survival analysis, Intention to Treat Analysis, 3. Good health, Time-dependent confounding, Pyrimidines, Treatment Outcome, Clinical Trials, Phase III as Topic, Pyrazoles, Crizotinib/therapeutic use [MeSH], Intention to Treat Analysis/methods [MeSH], Clinical Trials, Phase III as Topic/methods [MeSH], Pyridines/therapeutic use [MeSH], Humans [MeSH], Treatment Outcome [MeSH], Pyrazoles/therapeutic use [MeSH], Randomized Controlled Trials as Topic/methods [MeSH], Proportional Hazards Models [MeSH], Pyrimidines/therapeutic use [MeSH], Clinical Trials, Phase III as Topic/statistics, Models, Statistical [MeSH], Randomized Controlled Trials as Topic/statistics, Lung Neoplasms/drug therapy [MeSH], Organophosphorus Compounds/therapeutic use [MeSH]

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39707229
https://doaj.org/article/39a5b1d6baf3408c83fa74836fe13a8f
https://repository.publisso.de/resource/frl:6491842
https://epub.ub.uni-muenchen.de/124722/

Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the Health and Retirement Study

Autori: Yaoyuan Vincent Tan Carol A. C. Flannagan Lindsay R. Pool a ďalší

Zdroj: Statistics in Medicine. 40:2613-2625

Predmety: FOS: Computer and information sciences, Medicine (General), penalized spline of propensity methods in treatment comparisons, Science, Social Sciences, 01 natural sciences, missing data, 03 medical and health sciences, Cognition, 0302 clinical medicine, Bias, Health Sciences, Humans, Applications (stat.AP), Longitudinal Studies, causal inference, 0101 mathematics, Selection Bias, Retirement, longitudinal study, Middle Aged, Statistics and Numeric Data, time‐dependent confounding, Applications, Bayesian additive regression trees, Public Health

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/pdf/1812.08855
https://pubmed.ncbi.nlm.nih.gov/33665879
http://arxiv.org/abs/1812.08855
https://onlinelibrary.wiley.com/doi/10.1002/sim.8921
https://europepmc.org/article/MED/33665879
https://www.scholars.northwestern.edu/en/publications/accounting-for-selection-bias-due-to-death-in-estimating-the-effe-2
https://www.ncbi.nlm.nih.gov/pubmed/33665879
https://pubmed.ncbi.nlm.nih.gov/33665879/

Estimating the Impact of Sustained Social Participation on Depressive Symptoms in Older Adults

Autori: Shiba, Koichiro Torres, Jacqueline M. Daoud, Adel a ďalší

Zdroj: Epidemiology. 32:886-895

Predmety: Depressive symptoms, Social participation, Japan, Time-dependent confounding, Time-varying exposure, Older adults, Machine learning, Targeted maximum likelihood estimation

Prístupová URL adresa: https://research.chalmers.se/publication/549125

Metformin use and risk of cancer in patients with type 2 diabetes: a cohort study of primary care records using inverse probability weighting of marginal structural models

Autori: Farmer, RE Ford, D Mathur, R a ďalší

Zdroj: Int J Epidemiol

Predmety: Adult, Male, pharmacoepidemiology, time-dependent confounding, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Neoplasms, cancer, Electronic Health Records, Humans, Hypoglycemic Agents, Marginal structural models, Risk Factors for Cancer, Aged, Proportional Hazards Models, Aged, 80 and over, Glycated Hemoglobin, 2. Zero hunger, Primary Health Care, Middle Aged, Metformin, United Kingdom, 3. Good health, Diabetes Mellitus, Type 2, Female, type 2 diabetes, metformin, inverse probability weighting

Popis súboru: application/pdf

Prístupová URL adresa: https://academic.oup.com/ije/article-pdf/48/2/527/28479634/dyz005.pdf
https://pubmed.ncbi.nlm.nih.gov/30753459
https://researchonline.lshtm.ac.uk/id/eprint/4651526/1/Farmer-etal-2019-Metformin-use-and-risk-of-cancer.pdf
https://pubmed.ncbi.nlm.nih.gov/30753459/
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469299
https://researchonline.lshtm.ac.uk/4651526/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469299
https://discovery.ucl.ac.uk/10068238/
https://academic.oup.com/ije/article/48/2/527/5307962
https://discovery-pp.ucl.ac.uk/id/eprint/10068238/

Improved two-stage estimation to adjust for treatment switching in randomised trials: g-estimation to address time-dependent confounding

Autori: Kate Tilling Nicholas Latimer Ian R. White a ďalší

Zdroj: Stat Methods Med Res
Latimer, N, White, IR, Tilling, K M & Siebert, U 2020, 'Improved two-stage estimation to adjust for treatment switching in randomised trials : g-estimation to address time-dependent confounding', Statistical Methods in Medical Research. https://doi.org/10.1177/0962280220912524

Predmety: g-estimation, Treatment Switching, overall survival, time-to-event outcomes, structural nested models, 01 natural sciences, survival analysis, time-dependent confounding, 03 medical and health sciences, 0302 clinical medicine, counterfactual, Neoplasms, treatment crossover, Humans, Treatment switching, health technology assessment, 0101 mathematics, Probability, 2. Zero hunger, prediction, Articles, Survival Analysis, 3. Good health, Sample Size, oncology, gestimation

Popis súboru: application/pdf

Prístupová URL adresa: https://journals.sagepub.com/doi/pdf/10.1177/0962280220912524
https://pubmed.ncbi.nlm.nih.gov/32223524
https://eprints.whiterose.ac.uk/157825/28/0962280220912524.pdf
https://research-information.bris.ac.uk/ws/files/234297668/untitled.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436445
https://journals.sagepub.com/doi/full/10.1177/0962280220912524
https://journals.sagepub.com/doi/pdf/10.1177/0962280220912524
https://research-information.bris.ac.uk/en/publications/improved-two-stage-estimation-to-adjust-for-treatment-switching-i
https://eprints.whiterose.ac.uk/157825/
https://research-information.bris.ac.uk/en/publications/126e3c8f-263f-4331-aaee-6e106d628254
https://hdl.handle.net/1983/126e3c8f-263f-4331-aaee-6e106d628254
https://discovery-pp.ucl.ac.uk/id/eprint/10095644/

Estimating the Comparative Effectiveness of Feeding Interventions in the Pediatric Intensive Care Unit: A Demonstration of Longitudinal Targeted Maximum Likelihood Estimation

Autori: Kreif, Noémi Tran, Linh Grieve, Richard a ďalší

Zdroj: American Journal of Epidemiology. 186(12)

Predmety: Pediatric, Generic health relevance, Comparative Effectiveness Research, Computer Simulation, Critical Illness, Enteral Nutrition, Feeding Methods, Hospital Mortality, Humans, Intensive Care Units, Pediatric, Likelihood Functions, Machine Learning, Models, Statistical, Parenteral Nutrition, Time Factors, United Kingdom, causal inference, epidemiologic methods, longitudinal targeted maximum likelihood estimation, machine learning, Super Learner, time-dependent confounding, Mathematical Sciences, Medical and Health Sciences, Epidemiology

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/6c38r404
https://escholarship.org/content/qt6c38r404/qt6c38r404.pdf

Avoiding Time-Related Biases: A Feasibility Study on Antidiabetic Drugs and Pancreatic Cancer Applying the Parametric g-Formula to a Large German Healthcare Database

Autori: Börnhorst C Reinders T Rathmann W a ďalší

Zdroj: Clinical Epidemiology, Vol 13, Pp 1027-1038 (2021)

Predmety: target trial emulation, electronic health data, parametric g-formula, time-related bias, time-dependent confounding, type-2 diabetes mellitus, Infectious and parasitic diseases, RC109-216

Popis súboru: electronic resource

Relation: https://www.dovepress.com/avoiding-time-related-biases-a-feasibility-study-on-antidiabetic-drugs-peer-reviewed-fulltext-article-CLEP; https://doaj.org/toc/1179-1349

Prístupová URL adresa: https://doaj.org/article/5ba6a3a15ccb401eab0402768c54854a

Estimating the Causal Effect of Realistic Treatment Strategies Using Longitudinal Observational Data.

Autori: Zhang, Yingying Bennett, Alastair Manca, Andrea a ďalší

Zdroj: Med Decis Making ; ISSN:1552-681X

Predmety: EQ-5D, longitudinal targeted minimum loss-based estimation, mortality, super learner, time-dependent confounding

Relation: https://doi.org/10.1177/0272989X251379819; https://pubmed.ncbi.nlm.nih.gov/41143386

Dostupnosť: https://doi.org/10.1177/0272989X251379819
https://pubmed.ncbi.nlm.nih.gov/41143386

Mediation analysis of time‐to‐event endpoints accounting for repeatedly measured mediators subject to time‐varying confounding

Autori: Johan Steen Stijn Vansteelandt Jesper J. Madsen a ďalší

Zdroj: Stat Med
STATISTICS IN MEDICINE

Predmety: Statistics and Probability, longitudinal data, Epidemiology, EXPOSURES, Endpoint Determination, MODELS, Effect Modifier, Epidemiologic, 01 natural sciences, time-dependent confounding, Humans, Hypoglycemic Agents, mediation, 0101 mathematics, Research Articles, Randomized Controlled Trials as Topic, Models, Statistical, g-formula, Confounding Factors, Epidemiologic, DYNAMIC PATH-ANALYSIS, Liraglutide, 3. Good health, Mathematics and Statistics, Diabetes Mellitus, Type 2, Cardiovascular Diseases, Research Design, CAUSAL INFERENCE, path-specific effect, Diabetic Angiopathies

Popis súboru: application/pdf

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.8336
https://pubmed.ncbi.nlm.nih.gov/31411779
https://researchonline.lshtm.ac.uk/id/eprint/4654439/1/LongitudinalMediator-NovoNordisk-Vansteelandt_8.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852414
https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8336
https://pubmed.ncbi.nlm.nih.gov/31411779/
https://biblio.ugent.be/publication/8638396
https://onlinelibrary.wiley.com/doi/full/10.1002/sim.8336
https://biblio.ugent.be/publication/8638396/file/8641232.pdf
https://biblio.ugent.be/publication/8638396
http://doi.org/10.1002/sim.8336
https://biblio.ugent.be/publication/8638396/file/8641232
http://hdl.handle.net/1854/LU-8638396