Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies

Comparison of Statistical Approaches for Dealing With Immortal Time Bias in Drug Effectiveness Studies

(2016) Mohammad Ehsanul Karim et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Studying noncollapsibility of the odds ratio with marginal structural and logistic regression models

(2016) Menglan Pang et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Beta-interferon exposure and onset of secondary progressive multiple sclerosis

(2015) T. Zhang et al.   EUROPEAN JOURNAL OF NEUROLOGY

Confounding, effect modification, and the odds ratio: common misinterpretations

(2015) Ian Shrier et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Multiple Sclerosis in Older Adults: The Clinical Profile and Impact of Interferon Beta Treatment

(2015) Afsaneh Shirani et al.   Biomed Research International

Marginal Structural Cox Models for Estimating the Association Between β-Interferon Exposure and Disease Progression in a Multiple Sclerosis Cohort

(2014) Mohammad Ehsanul Karim et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Investigation of heterogeneity in the association between interferon beta and disability progression in multiple sclerosis: an observational study

(2013) A. Shirani et al.   EUROPEAN JOURNAL OF NEUROLOGY

Comparison of methods for estimating the effect of salvage therapy in prostate cancer when treatment is given by indication

(2013) Jeremy M. G. Taylor et al.   STATISTICS IN MEDICINE

A marginal structural model for multiple-outcome survival data:assessing the impact of injection drug use on several causes of death in the Canadian Co-infection Cohort

(2013) Erica E.M. Moodie et al.   STATISTICS IN MEDICINE

Body Mass Index, Blood Pressure, and Risk of Depression in the Elderly: A Marginal Structural Model

(2012) Ophélia Godin et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Comparing marginal structural models to standard methods for estimating treatment effects of antihypertensive combination therapy

(2012) Tobias Gerhard et al.   BMC Medical Research Methodology

Armitage lecture 2010: Understanding treatment effects: the value of integrating longitudinal data and survival analysis

(2012) Odd O. Aalen   STATISTICS IN MEDICINE

Analyzing direct and indirect effects of treatment using dynamic path analysis applied to data from the Swiss HIV Cohort Study

(2011) Kjetil Røysland et al.   STATISTICS IN MEDICINE

Time Scale and Adjusted Survival Curves for Marginal Structural Cox Models

(2010) D. Westreich et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Marginalia

(2010) Jay S. Kaufman   EPIDEMIOLOGY

Accuracy of Conventional and Marginal Structural Cox Model Estimators: A Simulation Study

(2010) Yongling Xiao et al.  

Survivor treatment bias, treatment selection bias, and propensity scores in observational research

(2010) Peter C. Austin et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

The effect of salvage therapy on survival in a longitudinal study with treatment by indication

(2010) Edward H. Kennedy et al.   STATISTICS IN MEDICINE

A sequential Cox approach for estimating the causal effect of treatment in the presence of time-dependent confounding applied to data from the Swiss HIV Cohort Study

(2010) Jon Michael Gran et al.   STATISTICS IN MEDICINE

Estimating the Effect of a Time-Dependent Treatment by Levels of an Internal Time-Dependent Covariate: Application to the Contrast Between Liver Wait-List and Posttransplant Mortality

(2009) Douglas E. Schaubel et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Relation between three classes of structural models for the effect of a time-varying exposure on survival

(2009) Jessica G. Young et al.   LIFETIME DATA ANALYSIS

Constructing Inverse Probability Weights for Marginal Structural Models

(2008) S. R. Cole et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Observational Studies Analyzed Like Randomized Experiments

(2008) Miguel A. Hernán et al.   EPIDEMIOLOGY

Comparison of algorithms to generate event times conditional on time-dependent covariates

(2007) Marie-Pierre Sylvestre et al.   STATISTICS IN MEDICINE