يعرض 1 - 10 نتائج من 17 نتيجة بحث عن '"Inverse probability weighting"', وقت الاستعلام: 0.75s تنقيح النتائج
  1. 1
    Causal Inference in Studying the Long-Term Health Effects of Disasters: Challenges and Potential Solutions

    المؤلفون: Jun Aida, Peter James, Katsunori Kondo, Naoki Kondo, Koichiro Shiba, Takuya Kawahara, Ichiro Kawachi, Mariana C. Arcaya

    المصدر: Am J Epidemiol

    مصطلحات موضوعية: Male, Time Factors, Practice of Epidemiology, Epidemiology, media_common.quotation_subject, 01 natural sciences, Disasters, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Earthquakes, Econometrics, medicine, Humans, Attrition, Survivors, 030212 general & internal medicine, 0101 mathematics, Selection Bias, Aged, media_common, Aged, 80 and over, Selection bias, Proportional hazards model, Inverse probability weighting, Hazard ratio, medicine.disease, Survival Analysis, Causality, Inverse probability, Health, Tsunamis, Censoring (clinical trials), Causal inference, Female, Psychology

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41f0bb4d84b5712d5c91cf214f7f33a4Test
    https://doi.org/10.1093/aje/kwab064Test


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  2. 2
    Thirteen Questions About Using Machine Learning in Causal Research (You Won’t Believe the Answer to Number 10!)

    المؤلفون: Alexander P. Keil, Daniel Westreich, Stephen J. Mooney

    المصدر: American Journal of Epidemiology. 190:1476-1482

    مصطلحات موضوعية: Epidemiology, Computer science, Sample (statistics), Machine learning, computer.software_genre, 01 natural sciences, Machine Learning, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Software, Bias, Black box, Code (cryptography), Humans, 030212 general & internal medicine, 0101 mathematics, Causal research, business.industry, Inverse probability weighting, Causality, Data Interpretation, Statistical, Causal inference, Artificial intelligence, Epidemiologic Methods, business, computer, Algorithms, Barriers to entry

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09783cb4b5d8ac3dc3efbdf305f36e19Test
    https://doi.org/10.1093/aje/kwab047Test


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  3. 3
    Dealing With Treatment-Confounder Feedback and Sparse Follow-up in Longitudinal Studies: Application of a Marginal Structural Model in a Multiple Sclerosis Cohort

    المؤلفون: Helen Tremlett, Feng Zhu, Elaine Kingwell, John Petkau, Mohammad Ehsanul Karim

    المصدر: American Journal of Epidemiology. 190:908-917

    مصطلحات موضوعية: Adult, Male, Multiple Sclerosis, Epidemiology, Marginal structural model, Effect Modifier, Epidemiologic, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Bias, Humans, Medicine, Longitudinal Studies, 030212 general & internal medicine, Imputation (statistics), British Columbia, business.industry, Inverse probability weighting, Hazard ratio, Confounding, Confounding Factors, Epidemiologic, Interferon-beta, medicine.disease, Survival Analysis, Comorbidity, Confidence interval, 3. Good health, Cohort, Disease Progression, Female, business, 030217 neurology & neurosurgery, Follow-Up Studies, Demography

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9e08e05f44aac991aa4b52481ab959aTest
    https://doi.org/10.1093/aje/kwaa243Test


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  4. 4
    Assessing Heterogeneity of Treatment Effects in Observational Studies

    المؤلفون: Christopher H. Schmid, Issa J Dahabreh, Andrew Leith, Sarah E. Robertson

    المصدر: American Journal of Epidemiology. 190:1088-1100

    مصطلحات موضوعية: Matching (statistics), Epidemiology, Statistics as Topic, Subgroup analysis, Coronary Artery Disease, 01 natural sciences, Coronary artery disease, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Outcome Assessment, Health Care, Statistics, Covariate, medicine, Humans, Computer Simulation, 030212 general & internal medicine, Cardiac Surgical Procedures, 0101 mathematics, Probability, Models, Statistical, business.industry, Inverse probability weighting, Estimator, Cardiovascular Agents, medicine.disease, Combined Modality Therapy, Observational Studies as Topic, Treatment Outcome, Sample size determination, Data Interpretation, Statistical, Sample Size, Observational study, business

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::761db28113424bacd6de38101d150f0cTest
    https://doi.org/10.1093/aje/kwaa235Test


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  5. 5
    Invited Commentary: Biomarkers for Mortality Among Individuals With a History of Out-of-Home Care—Implications for Study Design and Conceptualizations of Risk

    المؤلفون: Hilary K. Brown

    المصدر: American Journal of Epidemiology. 190:179-182

    مصطلحات موضوعية: Selection bias, Gerontology, 030505 public health, Future studies, Conceptualization, Epidemiology, business.industry, Inverse probability weighting, media_common.quotation_subject, medicine.disease, Affect (psychology), 03 medical and health sciences, 0302 clinical medicine, medicine, Attrition, 030212 general & internal medicine, 0305 other medical science, business, Psychosocial, Socioeconomic status, media_common

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::2e46cddf9abb1d63bd44eb355bb07403Test
    https://doi.org/10.1093/aje/kwaa077Test


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  6. 6
    Common Methods for Handling Missing Data in Marginal Structural Models: What Works and Why

    المؤلفون: Elizabeth A. Williamson, James R. Carpenter, Clemence Leyrat, Sébastien Bailly

    المساهمون: London School of Hygiene and Tropical Medicine (LSHTM), Hypoxie : Physiopathologie Respiratoire et Cardiovasculaire (HP2), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), ANR-19-P3IA-0003,MIAI,MIAI @ Grenoble Alpes(2019)

    المصدر: American Journal of Epidemiology
    American Journal of Epidemiology, Oxford University Press (OUP), 2020, ⟨10.1093/aje/kwaa225⟩

    مصطلحات موضوعية: last observation carried forward, multiple imputation, Epidemiology, Computer science, Practice of Epidemiology, Marginal structural model, complete cases, Context (language use), 01 natural sciences, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Econometrics, Electronic Health Records, Humans, Computer Simulation, AcademicSubjects/MED00860, 030212 general & internal medicine, 0101 mathematics, ComputingMilieux_MISCELLANEOUS, propensity score, Models, Statistical, missingness pattern approach, Inverse probability weighting, Confounding, Missing data, Weighting, [STAT]Statistics [stat], time-varying confounding, Data Interpretation, Statistical, Propensity score matching, Observational study, [STAT.ME]Statistics [stat]/Methodology [stat.ME], inverse probability weighting

    وصف الملف: application/pdf

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44c6a869d4b485a9a8ff2c4c50618b54Test
    https://pubmed.ncbi.nlm.nih.gov/33057574Test


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  7. 7
    Principled Approaches to Missing Data in Epidemiologic Studies

    المؤلفون: Enrique F. Schisterman, Stephen R. Cole, Emily M. Mitchell, BaoLuo Sun, Eric J. Tchetgen Tchetgen, Ofer Harel, Neil J. Perkins

    المصدر: American Journal of Epidemiology. 187:568-575

    مصطلحات موضوعية: Practice of Epidemiology, Epidemiology, Computer science, Inverse probability weighting, Acknowledgement, MEDLINE, Odds ratio, Missing data, 01 natural sciences, Confidence interval, Data Accuracy, Epidemiologic Studies, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, Data Interpretation, Statistical, Epidemiologic Research Design, Statistics, Humans, Female, 030212 general & internal medicine, Epidemiologic research, 0101 mathematics, Spurious relationship

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b8a9fa280a40371dfbda6143a6f720aTest
    https://doi.org/10.1093/aje/kwx348Test


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  8. 8
    Inverse-Probability-Weighted Estimation for Monotone and Nonmonotone Missing Data

    المؤلفون: Enrique F. Schisterman, BaoLuo Sun, Emily M. Mitchell, Stephen R. Cole, Neil J. Perkins, Eric J. Tchetgen Tchetgen, Ofer Harel

    المصدر: American Journal of Epidemiology. 187:585-591

    مصطلحات موضوعية: Estimation, Practice of Epidemiology, Epidemiology, Computer science, Inverse probability weighting, Statistics as Topic, Inference, Missing data, 01 natural sciences, Data Accuracy, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Monotone polygon, Inverse probability, Pregnancy, Joint probability distribution, Data Interpretation, Statistical, Covariate, Econometrics, Humans, Female, 030212 general & internal medicine, 0101 mathematics, Probability

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e7165111749c8cf1103fcb1fac859daTest
    https://doi.org/10.1093/aje/kwx350Test


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  9. 9
    Assessing the Potential for Bias From Nonresponse to a Study Follow-up Interview: An Example From the Agricultural Health Study

    المؤلفون: David B. Richardson, Freya Kamel, Laura E. Beane Freeman, Paul K. Henneberger, Jessica L. Rinsky, Honglei Chen, Michael C. R. Alavanja, John D. Beard, Steve Wing, Dale P. Sandler, Jane A. Hoppin

    المصدر: American Journal of Epidemiology. 186:395-404

    مصطلحات موضوعية: Adult, Male, Practice of Epidemiology, Epidemiology, media_common.quotation_subject, 010501 environmental sciences, 01 natural sciences, Interviews as Topic, 03 medical and health sciences, 0302 clinical medicine, Bias, Cause of Death, Neoplasms, Environmental health, North Carolina, Odds Ratio, medicine, Humans, Attrition, Prospective Studies, 030212 general & internal medicine, Prospective cohort study, Aged, 0105 earth and related environmental sciences, media_common, Aged, 80 and over, Selection bias, Farmers, business.industry, Inverse probability weighting, Smoking, Middle Aged, medicine.disease, Iowa, Agricultural Workers' Diseases, Cancer registry, Epidemiologic Research Design, Cohort, Marital status, Female, Lost to Follow-Up, business, Follow-Up Studies, Cohort study

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1718185d36384c1069ddb64ef9b4cc6dTest
    https://doi.org/10.1093/aje/kwx098Test


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  10. 10
    Estimating the Prevalence of Ovarian Cancer Symptoms in Women Aged 50 Years or Older: Problems and Possibilities

    المؤلفون: Lucy Gilbert, Antonio Ciampi, Olga Basso, Zhuoyu Sun, Jay S. Kaufman

    المصدر: American Journal of Epidemiology. 184:670-680

    مصطلحات موضوعية: Gerontology, medicine.medical_specialty, Pediatrics, Practice of Epidemiology, Epidemiology, Population, 03 medical and health sciences, 0302 clinical medicine, Surveys and Questionnaires, Prevalence, Humans, Medicine, Non-response bias, 030212 general & internal medicine, education, Early Detection of Cancer, Aged, Aged, 80 and over, Ovarian Neoplasms, Estimation, education.field_of_study, business.industry, Inverse probability weighting, Incidence (epidemiology), Quebec, Middle Aged, medicine.disease, 3. Good health, 030220 oncology & carcinogenesis, Female, Symptom Assessment, business, Ovarian cancer, Dove

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20ab0bf841c5a78ac1d98d8888046849Test
    https://doi.org/10.1093/aje/kww086Test


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