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Clinical Trials, ISSN 1740-7745, 6/2019, Volume 16, Issue 3, pp. 237 - 245
Background/aims Some randomized clinical trials seek to establish covariate effect types that indicate whether a covariate is predictive and/or prognostic, in... 
Medical research | PD-1 protein | Lung cancer | Clinical trials | Lymphocytes T | Regression analysis | Subgroups | Randomization | Lymphocytes | PD-L1 protein | Predictions | Bayesian analysis | Apoptosis
Journal Article
Statistics in Medicine, ISSN 0277-6715, 05/2016, Volume 35, Issue 10, pp. 1739 - 1741
Journal Article
Epidemiology Biostatistics and Public Health, 2018, Volume 15, Issue 4
Background: Recently, in the context of randomized trials, a measure on the difference scale called the net benefit was developed for survival analysis. As... 
Confounding | Net chance of a longer survival | Time-to-event outcome
Journal Article
Biometrical Journal, ISSN 0323-3847, 09/2017, Volume 59, Issue 5, pp. 986 - 997
Journal Article
Journal of Causal Inference, ISSN 2193-3677, 09/2018, Volume 6, Issue 2
In randomized trials in which two treatment arms are compared with a binary outcome, the causal effect can be identified by assuming that the two treatment... 
Response Type | Potential Outcome | Contingency Table
Journal Article
Open Journal of Statistics, ISSN 2161-718X, 2018, Volume 8, Issue 2, pp. 241 - 248
Journal Article
Biometrical Journal, ISSN 0323-3847, 09/2017, Volume 59, Issue 5, pp. 986 - 997
Journal Article
Statistics in Medicine, ISSN 0277-6715, 01/2015, Volume 34, Issue 1, pp. 131 - 144
Journal Article
Open Journal of Statistics, ISSN 2161-718X, 2016, Volume 6, Issue 5, pp. 766 - 776
Journal Article
Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, 3/2011, Volume 108, Issue 12, pp. 4892 - 4896
Journal Article
Journal Article
Statistics in Medicine, ISSN 0277-6715, 01/2015, Volume 34, Issue 1, pp. 131 - 144
Recently, several authors have shown that natural direct and indirect effects (NDEs and NIEs) can be identified under the sequential ignorability assumptions,... 
mediation analysis | principal stratification | natural direct and indirect effects | causal inference | treatment‐induced intermediate confounding, sensitivity analysis | Causal inference | Principal stratification | Treatment-induced intermediate confounding, sensitivity analysis | Natural direct and indirect effects | Mediation analysis | MEDICINE, RESEARCH & EXPERIMENTAL | TRIALS | MEDICAL INFORMATICS | sensitivity analysis | MARGINAL STRUCTURAL MODELS | STATISTICS & PROBABILITY | IDENTIFICATION | treatment-induced intermediate confounding | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | BOUNDS | SENSITIVITY-ANALYSIS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | VARIABLES | OUTCOMES | Epidemiologic Research Design | Infant Death | Effect Modifier, Epidemiologic | Data Interpretation, Statistical | Randomized Controlled Trials as Topic - statistics & numerical data | Infant Mortality | Premature Birth - mortality | Prenatal Care - statistics & numerical data | Randomized Controlled Trials as Topic - methods | Bias | Humans | Live Birth | Infant | Treatment Outcome | Models, Statistical | Mothers - statistics & numerical data | Premature Birth - etiology | Confounding Factors (Epidemiology) | Maternal Age | Medical Record Linkage | Causality | Premature Birth - prevention & control | Infant, Newborn | Identification | Sensitivity analysis | Simulation | Medical statistics | Medical treatment | Index Medicus
Journal Article
Clinical Trials, ISSN 1740-7745, 8/2013, Volume 10, Issue 4, pp. 515 - 521
Journal Article
Epidemiology Biostatistics and Public Health, ISSN 2282-2305, 2014, Volume 11, Issue 2
Questions of mediation are often of interest in reasoning about mechanisms, and methods have been developed to address these questions. However, these methods... 
Confounding | Direct and indirect effects | Sensitivity analysis | Mediation | mediation | direct and indirect effects | sensitivity analysis
Journal Article
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