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1. Full Text Missing Data in Marginal Structural Models: A Plasmode Simulation Study Comparing Multiple Imputation and Inverse Probability Weighting
by Liu, Shao-Hsien and Chrysanthopoulou, Stavroula A and Chang, Qiuzhi and Hunnicutt, Jacob N and Lapane, Kate L
Medical care, ISSN 0025-7079, 03/2019, Volume 57, Issue 3, pp. 237 - 243
Health Care Sciences & Services | Public, Environmental & Occupational Health | Health Policy & Services | Life Sciences & Biomedicine | Science & Technology | Probability | Data Interpretation, Statistical | Models, Statistical | Bias | Computer Simulation | Humans | Knee | Computer simulation | Epidemiology | Estimates | Empirical analysis | Structural models | Missing data | Biomedical materials | Weighting | Pain | Simulation | Biocompatibility | Osteoarthritis | Index Medicus | Inverse probability weighting | Marginal structural models | Plasmode simulation, Multiple imputation
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2. Full Text Quantitative Bias Analysis for a Misclassified Confounder: A Comparison Between Marginal Structural Models and Conditional Models for Point Treatments
by Nab, Linda and Groenwold, Rolf H H and van Smeden, Maarten and Keogh, Ruth H
Epidemiology (Cambridge, Mass.), ISSN 1044-3983, 11/2020, Volume 31, Issue 6, pp. 796 - 805
Life Sciences & Biomedicine | Public, Environmental & Occupational Health | Science & Technology | Epidemiology | Analysis | Models | Index Medicus | Inverse probability weighting | Point-treatment study | Misclassification | Marginal structural models | Quantitative bias analysis | Methods
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3. Full Text Using marginal structural models to adjust for treatment drop‐in when developing clinical prediction models
by Sperrin, Matthew and Martin, Glen P and Pate, Alexander and Van Staa, Tjeerd and Peek, Niels and Buchan, Iain
Statistics in medicine, ISSN 0277-6715, 12/2018, Volume 37, Issue 28, pp. 4142 - 4154
marginal structural models | clinical prediction models | treatment drop‐in | counterfactual causal inference | validation | longitudinal data | treatment drop-in | Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Medical Informatics | Public, Environmental & Occupational Health | Mathematics | Medicine, Research & Experimental | Science & Technology | Mathematical & Computational Biology | Research & Experimental Medicine | Prognosis | Randomized Controlled Trials as Topic - methods | Cardiovascular Diseases - prevention & control | Humans | Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use | Decision Support Techniques | Treatment Outcome | Models, Statistical | Cardiovascular Diseases - diagnosis | Cardiovascular disease | Index Medicus
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4. Full Text On Bayesian Estimation of Marginal Structural Models
by Olli Saarela and David A. Stephens and Erica E. M. Moodie and Marina B. Klein
Biometrics, ISSN 0006-341X, 6/2015, Volume 71, Issue 2, pp. 279 - 288
DISCUSSION PAPER | Causal inference | Marginal structural models | Variance estimation | Inverse probability weighting | Longitudinal data | Bayesian inference | Posterior predictive inference | Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Biology | Life Sciences & Biomedicine - Other Topics | Mathematics | Science & Technology | Mathematical & Computational Biology | Liver Cirrhosis - etiology | Humans | Probability | Models, Statistical | Biometry | Disease Progression | Anti-HIV Agents - administration & dosage | Canada | Likelihood Functions | Algorithms | Bayes Theorem | HIV Infections - complications | HIV Infections - drug therapy | Hepatitis C - complications | Cohort Studies | Analysis | Censorship | Models | Bayesian analysis | Index Medicus
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5. Full Text Estimating inverse probability weights using super learner when weight‐model specification is unknown in a marginal structural Cox model context
by Karim, Mohammad Ehsanul and Platt, Robert W and BeAMS Study Grp and BeAMS study group and The BeAMS study group
Statistics in medicine, ISSN 0277-6715, 06/2017, Volume 36, Issue 13, pp. 2032 - 2047
marginal structural models | inverse‐probability weighting | multiple sclerosis | super learner | time‐dependent confounding | time-dependent confounding | inverse-probability weighting | Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Medical Informatics | Public, Environmental & Occupational Health | Mathematics | Medicine, Research & Experimental | Science & Technology | Mathematical & Computational Biology | Research & Experimental Medicine | Interferon-beta - therapeutic use | Data Interpretation, Statistical | Algorithms | Humans | Proportional Hazards Models | Linear Models | Logistic Models | Treatment Outcome | Models, Statistical | Disease Progression | Multiple Sclerosis - drug therapy | Datasets | Interferon | Statistical methods | Index Medicus
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6. Full Text An information criterion for marginal structural models
by Platt, Robert W and Brookhart, M. Alan and Cole, Stephen R and Westreich, Daniel and Schisterman, Enrique F
Statistics in medicine, ISSN 0277-6715, 04/2013, Volume 32, Issue 8, pp. 1383 - 1393
model specification | causal inference | marginal structural model | bias | regression analysis | Causal inference | Regression analysis | Marginal structural model | Bias | Model specification | Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Medical Informatics | Public, Environmental & Occupational Health | Mathematics | Medicine, Research & Experimental | Science & Technology | Mathematical & Computational Biology | Research & Experimental Medicine | Data Interpretation, Statistical | Body Weight | Humans | Breast Feeding | Infant | Male | CD4 Lymphocyte Count | Models, Statistical | HIV Infections - immunology | Likelihood Functions | Antiretroviral Therapy, Highly Active - standards | Computer Simulation | Adult | Female | HIV Infections - drug therapy | Highly active antiretroviral therapy | Antiviral agents | Models | Breast feeding | Analysis | Babies | Breastfeeding & lactation | Simulation | Human immunodeficiency virus--HIV | Weight | Index Medicus
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7. Full Text A test for the correct specification of marginal structural models
by Sall, Alioune and Aubé, Karine and Trudel, Xavier and Brisson, Chantal and Talbot, Denis
Statistics in medicine, ISSN 0277-6715, 07/2019, Volume 38, Issue 17, pp. 3168 - 3183
model specification | causal inference | marginal structural models | Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Medical Informatics | Public, Environmental & Occupational Health | Mathematics | Medicine, Research & Experimental | Science & Technology | Mathematical & Computational Biology | Research & Experimental Medicine | Mathematical models | Statistical inference | Causality | Medical statistics | Index Medicus
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8. Full Text A Marginal Structural Model Analysis for Loneliness
: Implications for Intervention Trials and Clinical Practice
by VanderWeele, Tyler J and Hawkley, Louise C and Thisted, Ronald A and Cacioppo, John T
Journal of consulting and clinical psychology, ISSN 0022-006X, 4/2011, Volume 79, Issue 2, pp. 225 - 235
marginal structural models | depression | loneliness | causal models | Psychology, Clinical | Psychology | Social Sciences | Intervention | Causal Models | Hispanic Americans | African Americans | Whites | Depression (Psychology) | Persistence | Prevention | Outcomes of Treatment | Measures (Individuals) | Psychological Patterns | Longitudinal Studies | UCLA Loneliness Scale | Center for Epidemiologic Studies Depression Scale | Symptoms (Individual Disorders) | Psychology. Psychoanalysis. Psychiatry | Adult and adolescent clinical studies | Psychopathology. Psychiatry | Mood disorders | Biological and medical sciences | Depression | Medical sciences | Psychiatric Status Rating Scales | Health Surveys | Loneliness - psychology | Humans | Middle Aged | Depression - psychology | Models, Psychological | Diagnostic Self Evaluation | Female | Male | Surveys and Questionnaires | Psychological aspects | Loneliness | Research | Diagnosis | Minorities | Depression, Mental | Clinical trials | Clinical medicine | Mental depression | Epidemiology | Emotions | Index Medicus | Causal models
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9. Full Text Adjusting for time‐varying confounders in survival analysis using structural nested cumulative survival time models
by Seaman, Shaun and Dukes, Oliver and Keogh, Ruth and Vansteelandt, Stijn
Biometrics, ISSN 0006-341X, 06/2020, Volume 76, Issue 2, pp. 472 - 483
accelerated failure time model | survival data | Aalen's additive model | marginal structural model | G‐estimation | Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Biology | Life Sciences & Biomedicine - Other Topics | Mathematics | Science & Technology | Mathematical & Computational Biology | Survival analysis | Weighting | Statistical models | Computer simulation | Fibrosis | Cystic fibrosis | Models | Exposure | Survival | Failure times | Generalized linear models | Estimators | Index Medicus | Biometric Methodology
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