Prevalence of Avoidable and Bias‐Inflicting Methodological Pitfalls in Real‐World Studies of Medication Safety and Effectiveness

Time‐related biases in pharmacoepidemiology

(2020) Samy Suissa et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

Association of Fluoroquinolones With the Risk of Aortic Aneurysm or Aortic Dissection

(2020) Chandrasekar Gopalakrishnan et al.   JAMA Internal Medicine

Emulating Randomized Clinical Trials with Nonrandomized Real-World Evidence Studies: First Results from the RCT DUPLICATE Initiative

(2020) Jessica M. Franklin et al.   CIRCULATION

Glucose‐lowering medications and the risk of cancer: A methodological review of studies based on real‐world data

(2019) Katsiaryna Bykov et al.   DIABETES OBESITY & METABOLISM

Using Real-World Data to Predict Findings of an Ongoing Phase IV Cardiovascular Outcome Trial: Cardiovascular Safety of Linagliptin Versus Glimepiride

(2019) Elisabetta Patorno et al.   DIABETES CARE

Avoidable flaws in observational analyses: an application to statins and cancer

(2019) Barbra A. Dickerman et al.   NATURE MEDICINE

Methodological considerations when analysing and interpreting real-world data

(2019) Til Stürmer et al.   RHEUMATOLOGY

Examining Bias in Studies of Statin Treatment and Survival in Patients With Cancer

(2018) Louise Emilsson et al.   JAMA Oncology

Real-World Evidence and Real-World Data for Evaluating Drug Safety and Effectiveness

(2018) Jacqueline Corrigan-Curay et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available: Table 1.

(2016) Miguel A. Hernán et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Improving therapeutic effectiveness and safety through big healthcare data

(2016) S Schneeweiss   CLINICAL PHARMACOLOGY & THERAPEUTICS

Real World Data in Adaptive Biomedical Innovation: A Framework for Generating Evidence Fit for Decision-Making

(2016) S Schneeweiss et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses

(2016) Miguel A. Hernán et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Design and analysis choices for safety surveillance evaluations need to be tuned to the specifics of the hypothesized drug-outcome association

(2016) Susan Gruber et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

(2016) Jonathan AC Sterne et al.   BMJ-British Medical Journal

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

(2016) Jonathan AC Sterne et al.   BMJ-British Medical Journal

Randomised controlled trials and population-based observational research: partners in the evolution of medical evidence

(2014) C M Booth et al.   BRITISH JOURNAL OF CANCER

A Questionnaire to Assess the Relevance and Credibility of Observational Studies to Inform Health Care Decision Making: An ISPOR-AMCP-NPC Good Practice Task Force Report

(2014) Marc L. Berger et al.   VALUE IN HEALTH

Metformin and the Risk of Cancer: Time-related biases in observational studies

(2012) S. Suissa et al.   DIABETES CARE

Statin Adherence and Risk of Accidents

(2009) Colin R. Dormuth et al.   CIRCULATION

Overadjustment Bias and Unnecessary Adjustment in Epidemiologic Studies

(2009) Enrique F. Schisterman et al.   EPIDEMIOLOGY

Observational Studies Analyzed Like Randomized Experiments

(2008) Miguel A. Hernán et al.   EPIDEMIOLOGY

Aprotinin during Coronary-Artery Bypass Grafting and Risk of Death

(2008) Sebastian Schneeweiss et al.   NEW ENGLAND JOURNAL OF MEDICINE