Published in Epidemiology on July 01, 2006
Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology (2009) 9.00
Negative controls: a tool for detecting confounding and bias in observational studies. Epidemiology (2010) 5.12
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Effect of flexible sigmoidoscopy screening on colorectal cancer incidence and mortality: a randomized clinical trial. JAMA (2014) 4.41
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Bayesian methods for instrumental variable analysis with genetic instruments ('Mendelian randomization'): example with urate transporter SLC2A9 as an instrumental variable for effect of urate levels on metabolic syndrome. Int J Epidemiol (2010) 1.71
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Physician preference motivates the use of anti-tumor necrosis factor therapy independent of clinical disease activity. Arthritis Care Res (Hoboken) (2010) 1.68
Instrumental variable analysis with a nonlinear exposure-outcome relationship. Epidemiology (2014) 1.58
Instrumental variable estimation in a survival context. Epidemiology (2015) 1.56
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Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors. Eur J Epidemiol (2015) 1.51
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Observational data for comparative effectiveness research: an emulation of randomised trials of statins and primary prevention of coronary heart disease. Stat Methods Med Res (2011) 1.49
Using existing data to address important clinical questions in critical care. Crit Care Med (2013) 1.47
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Intent-to-Treat vs. Non-Intent-to-Treat Analyses under Treatment Non-Adherence in Mental Health Randomized Trials. Psychiatr Ann (2008) 1.36
Adiposity and cancer risk: new mechanistic insights from epidemiology. Nat Rev Cancer (2015) 1.32
When the entire population is the sample: strengths and limitations in register-based epidemiology. Eur J Epidemiol (2014) 1.27
Use of pathway information in molecular epidemiology. Hum Genomics (2009) 1.22
Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods. Stat Med (2015) 1.20
Separated at birth: statisticians, social scientists, and causality in health services research. Health Serv Res (2010) 1.13
Low-income Supplemental Nutrition Assistance Program participation is related to adiposity and metabolic risk factors. Am J Clin Nutr (2011) 1.12
Identification of causal effects on binary outcomes using structural mean models. Biostatistics (2010) 1.10
Effect of highly active antiretroviral therapy on incident AIDS using calendar period as an instrumental variable. Am J Epidemiol (2009) 1.09
Selecting on treatment: a pervasive form of bias in instrumental variable analyses. Am J Epidemiol (2015) 1.07
Rosiglitazone is associated with mortality in chronic hemodialysis patients. J Am Soc Nephrol (2009) 1.05
Obesogenic environments in youth: concepts and methods from a longitudinal national sample. Am J Prev Med (2012) 1.04
Use of instrumental variable in prescription drug research with observational data: a systematic review. J Clin Epidemiol (2010) 1.03
Natural direct and indirect effects on the exposed: effect decomposition under weaker assumptions. Biometrics (2012) 1.02
Effects of BMI, fat mass, and lean mass on asthma in childhood: a Mendelian randomization study. PLoS Med (2014) 1.02
Physicians' prescribing preferences were a potential instrument for patients' actual prescriptions of antidepressants. J Clin Epidemiol (2013) 1.02
Causality, mediation and time: a dynamic viewpoint. J R Stat Soc Ser A Stat Soc (2012) 1.00
Longitudinal structural mixed models for the analysis of surgical trials with noncompliance. Stat Med (2012) 1.00
Genetic Obesity and the Risk of Atrial Fibrillation- Causal Estimates from Mendelian Randomization. Circulation (2016) 1.00
Advancing the field of health systems research synthesis. Syst Rev (2015) 0.99
The many weak instruments problem and Mendelian randomization. Stat Med (2014) 0.97
Instrumental variable analysis of secondary pharmacoepidemiologic data. Epidemiology (2006) 0.97
Inverse probability weighting in sexually transmitted infection/human immunodeficiency virus prevention research: methods for evaluating social and community interventions. Sex Transm Dis (2010) 0.97
Cohort Multiple Randomised Controlled Trials (cmRCT) design: efficient but biased? A simulation study to evaluate the feasibility of the Cluster cmRCT design. BMC Med Res Methodol (2016) 0.96
Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways. Int J Epidemiol (2014) 0.96
Integration of molecular pathology, epidemiology and social science for global precision medicine. Expert Rev Mol Diagn (2015) 0.94
Serum uric acid and adiposity: deciphering causality using a bidirectional Mendelian randomization approach. PLoS One (2012) 0.94
Using instrumental variables to estimate a Cox's proportional hazards regression subject to additive confounding. Health Serv Outcomes Res Methodol (2014) 0.93
Analytic Bounds on Causal Risk Differences in Directed Acyclic Graphs Involving Three Observed Binary Variables. J Stat Plan Inference (2009) 0.93
Adherence adjustment in the Coronary Drug Project: A call for better per-protocol effect estimates in randomized trials. Clin Trials (2016) 0.93
Understanding human functioning using graphical models. BMC Med Res Methodol (2010) 0.92
African-American/white differences in the age of menarche: accounting for the difference. Soc Sci Med (2012) 0.91
Commentary: Can't WaSH Without Water: Instrumental Variables Evidence from a Randomized Trial. Epidemiology (2016) 0.91
Caution: work in progress : While the methodological "revolution" deserves in-depth study, clinical researchers and senior epidemiologists should not be disenfranchised. Eur J Epidemiol (2016) 0.90
On shrinkage and model extrapolation in the evaluation of clinical center performance. Biostatistics (2014) 0.90
An approach for estimating the health effects of changes over time in air pollution: an illustration using cardio-respiratory hospital admissions in London. Occup Environ Med (2009) 0.90
When homogeneity meets heterogeneity: the geographically weighted regression with spatial lag approach to prenatal care utilization. Geospat Health (2014) 0.90
Think globally, act globally: An epidemiologist's perspective on instrumental variable estimation. Stat Sci (2014) 0.90
Food availability/convenience and obesity. Adv Nutr (2014) 0.90
Safety and effectiveness of bivalirudin in routine care of patients undergoing percutaneous coronary intervention. Eur Heart J (2009) 0.89
Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants. Epidemiology (2017) 0.88
Lack of identification in semiparametric instrumental variable models with binary outcomes. Am J Epidemiol (2014) 0.88
Instrumental variable analyses. Exploiting natural randomness to understand causal mechanisms. Ann Am Thorac Soc (2013) 0.88
Estimating peer effects in longitudinal dyadic data using instrumental variables. Biometrics (2014) 0.88
Nonparametric Bounds and Sensitivity Analysis of Treatment Effects. Stat Sci (2014) 0.88
The current deconstruction of paradoxes: one sign of the ongoing methodological "revolution". Eur J Epidemiol (2015) 0.88
Observational research--opportunities and limitations. J Diabetes Complications (2013) 0.87
Extending conceptual frameworks: life course epidemiology for the study of back pain. BMC Musculoskelet Disord (2010) 0.87
MR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomization. Sci Rep (2015) 0.86
Toward a clearer portrayal of confounding bias in instrumental variable applications. Epidemiology (2015) 0.86
Risk of complications after a peptic ulcer diagnosis: effectiveness of proton pump inhibitors. Dig Dis Sci (2013) 0.84
The causal effect of red blood cell folate on genome-wide methylation in cord blood: a Mendelian randomization approach. BMC Bioinformatics (2013) 0.84
Prediction and treatment of asthma in preschool children at risk: study design and baseline data of a prospective cohort study in general practice (ARCADE). BMC Pulm Med (2009) 0.83
Definition and evaluation of the monotonicity condition for preference-based instruments. Epidemiology (2015) 0.82
Routinely collected data and comparative effectiveness evidence: promises and limitations. CMAJ (2016) 0.82
Using an instrumental variable to test for unmeasured confounding. Stat Med (2014) 0.82
Air Pollution and Autism Spectrum Disorders: Causal or Confounded? Curr Environ Health Rep (2015) 0.82
Mendelian Randomization Implicates High-Density Lipoprotein Cholesterol-Associated Mechanisms in Etiology of Age-Related Macular Degeneration. Ophthalmology (2017) 0.82
Difficulties in demonstrating superiority of an antibiotic for multidrug-resistant bacteria in nonrandomized studies. Clin Infect Dis (2014) 0.81
Methodological considerations in assessing the effectiveness of antidepressant medication continuation during pregnancy using administrative data. Pharmacoepidemiol Drug Saf (2015) 0.81
Benefits of ICU admission in critically ill patients: whether instrumental variable methods or propensity scores should be used. BMC Med Res Methodol (2011) 0.81
Psychiatric epidemiology: challenges and opportunities. Int Rev Psychiatry (2007) 0.81
Evaluating possible confounding by prescriber in comparative effectiveness research. Epidemiology (2015) 0.80
Estimating the treatment effect from non-randomized studies: The example of reduced intensity conditioning allogeneic stem cell transplantation in hematological diseases. BMC Blood Disord (2012) 0.80
A dynamic panel model of the associations of sweetened beverage purchases with dietary quality and food-purchasing patterns. Am J Epidemiol (2015) 0.79
Instrumental variable applications using nursing home prescribing preferences in comparative effectiveness research. Pharmacoepidemiol Drug Saf (2014) 0.79
A structural approach to selection bias. Epidemiology (2004) 16.44
Transmissibility of 1918 pandemic influenza. Nature (2004) 16.14
Transmission dynamics and control of severe acute respiratory syndrome. Science (2003) 14.70
Doubly robust estimation in missing data and causal inference models. Biometrics (2005) 9.67
Methotrexate and mortality in patients with rheumatoid arthritis: a prospective study. Lancet (2002) 9.66
Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease. Epidemiology (2008) 6.87
Long-term effectiveness of potent antiretroviral therapy in preventing AIDS and death: a prospective cohort study. Lancet (2005) 6.60
On the efficacy of screening for breast cancer. Int J Epidemiol (2004) 6.30
Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of nonuniform effect. Am J Epidemiol (2005) 6.20
The effect of combined antiretroviral therapy on the overall mortality of HIV-infected individuals. AIDS (2010) 5.85
Effect of highly active antiretroviral therapy on time to acquired immunodeficiency syndrome or death using marginal structural models. Am J Epidemiol (2003) 5.81
Estimating causal effects from epidemiological data. J Epidemiol Community Health (2006) 5.61
When to initiate combined antiretroviral therapy to reduce mortality and AIDS-defining illness in HIV-infected persons in developed countries: an observational study. Ann Intern Med (2011) 5.35
Comparison of dynamic treatment regimes via inverse probability weighting. Basic Clin Pharmacol Toxicol (2006) 5.25
When is baseline adjustment useful in analyses of change? An example with education and cognitive change. Am J Epidemiol (2005) 4.54
Estimating the causal effect of zidovudine on CD4 count with a marginal structural model for repeated measures. Stat Med (2002) 4.15
Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part I: main content. Int J Biostat (2010) 3.97
Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptions. Am J Epidemiol (2012) 3.77
Structural accelerated failure time models for survival analysis in studies with time-varying treatments. Pharmacoepidemiol Drug Saf (2005) 3.05
Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures. Stat Med (2004) 2.87
The identification of synergism in the sufficient-component-cause framework. Epidemiology (2007) 2.77
Causal directed acyclic graphs and the direction of unmeasured confounding bias. Epidemiology (2008) 2.60
Directed acyclic graphs, sufficient causes, and the properties of conditioning on a common effect. Am J Epidemiol (2007) 2.58
When to start treatment? A systematic approach to the comparison of dynamic regimes using observational data. Int J Biostat (2010) 2.50
Intervening on risk factors for coronary heart disease: an application of the parametric g-formula. Int J Epidemiol (2009) 2.48
Marginal structural models for estimating the effect of highly active antiretroviral therapy initiation on CD4 cell count. Am J Epidemiol (2005) 2.20
A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference. Am J Epidemiol (2017) 2.05
Generation interval contraction and epidemic data analysis. Math Biosci (2008) 2.04
Determining the effect of highly active antiretroviral therapy on changes in human immunodeficiency virus type 1 RNA viral load using a marginal structural left-censored mean model. Am J Epidemiol (2007) 2.00
Multiply robust inference for statistical interactions. J Am Stat Assoc (2008) 1.98
Second look at the spread of epidemics on networks. Phys Rev E Stat Nonlin Soft Matter Phys (2007) 1.90
Four types of effect modification: a classification based on directed acyclic graphs. Epidemiology (2007) 1.83
Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes. Biostatistics (2003) 1.76
Comparative effectiveness of dynamic treatment regimes: an application of the parametric g-formula. Stat Biosci (2011) 1.73
Identifiability, exchangeability and confounding revisited. Epidemiol Perspect Innov (2009) 1.65
Estimating absolute risks in the presence of nonadherence: an application to a follow-up study with baseline randomization. Epidemiology (2010) 1.64
Network-based analysis of stochastic SIR epidemic models with random and proportionate mixing. J Theor Biol (2007) 1.62
Randomized trials analyzed as observational studies. Ann Intern Med (2013) 1.60
On doubly robust estimation in a semiparametric odds ratio model. Biometrika (2009) 1.57
Marginal structural models for sufficient cause interactions. Am J Epidemiol (2010) 1.52
Weight Loss and Coronary Heart Disease: Sensitivity Analysis for Unmeasured Confounding by Undiagnosed Disease. Epidemiology (2016) 1.39
Early versus deferred antiretroviral therapy for HIV. N Engl J Med (2009) 1.35
Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. Am J Epidemiol (2016) 1.29
Dynamic regime marginal structural mean models for estimation of optimal dynamic treatment regimes, Part II: proofs of results. Int J Biostat (2010) 1.29
Pandemic influenza: risk of multiple introductions and the need to prepare for them. PLoS Med (2006) 1.26
Effect decomposition in the presence of an exposure-induced mediator-outcome confounder. Epidemiology (2014) 1.25
Improved double-robust estimation in missing data and causal inference models. Biometrika (2012) 1.22
Relation between three classes of structural models for the effect of a time-varying exposure on survival. Lifetime Data Anal (2009) 1.14
The effect of efavirenz versus nevirapine-containing regimens on immunologic, virologic and clinical outcomes in a prospective observational study. AIDS (2012) 1.11
Effectiveness of early antiretroviral therapy initiation to improve survival among HIV-infected adults with tuberculosis: a retrospective cohort study. PLoS Med (2011) 1.08
Selecting on treatment: a pervasive form of bias in instrumental variable analyses. Am J Epidemiol (2015) 1.07
On weighting approaches for missing data. Stat Methods Med Res (2011) 1.05
A mapping between interactions and interference: implications for vaccine trials. Epidemiology (2012) 0.97
Identification, estimation and approximation of risk under interventions that depend on the natural value of treatment using observational data. Epidemiol Method (2014) 0.92
Time-dependent cross ratio estimation for bivariate failure times. Biometrika (2011) 0.92
Higher Order Inference On A Treatment Effect Under Low Regularity Conditions. Stat Probab Lett (2011) 0.91
Boosted lopinavir- versus boosted atazanavir-containing regimens and immunologic, virologic, and clinical outcomes: a prospective study of HIV-infected individuals in high-income countries. Clin Infect Dis (2015) 0.83
Definition and evaluation of the monotonicity condition for preference-based instruments. Epidemiology (2015) 0.82
Re: Causality and causal inference in epidemiology: the need for a pluralistic approach. Int J Epidemiol (2016) 0.78
When to Monitor CD4 Cell Count and HIV RNA to Reduce Mortality and AIDS-Defining Illness in Virologically Suppressed HIV-Positive Persons on Antiretroviral Therapy in High-Income Countries: A Prospective Observational Study. J Acquir Immune Defic Syndr (2016) 0.78
Multiple outbreaks and flu containment plans. Science (2006) 0.76
The Impact of Different CD4 Cell-Count Monitoring and Switching Strategies on Mortality in HIV-Infected African Adults on Antiretroviral Therapy: An Application of Dynamic Marginal Structural Models. Am J Epidemiol (2015) 0.75
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