Handling missing data in RCTs; a review of the top medical journals

ML Bell, M Fiero, NJ Horton, CH Hsu - BMC medical research …, 2014 - Springer
Background Missing outcome data is a threat to the validity of treatment effect estimates in
randomized controlled trials. We aimed to evaluate the extent, handling, and sensitivity …

Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis

RHH Groenwold, IR White, ART Donders… - Cmaj, 2012 - Can Med Assoc
If missingness of a variable is related to observed characteristics but not to unobserved
characteristics, the data are (confusingly) called “missing at random.” 2, 5, 6 If data are …

Testosterone treatment to prevent or revert type 2 diabetes in men enrolled in a lifestyle programme (T4DM): a randomised, double-blind, placebo-controlled, 2-year …

G Wittert, K Bracken, KP Robledo… - The lancet Diabetes & …, 2021 - thelancet.com
Background Men who are overweight or obese frequently have low serum testosterone
concentrations, which are associated with increased risk of type 2 diabetes. We aimed to …

Accounting for missing data in statistical analyses: multiple imputation is not always the answer

RA Hughes, J Heron, JAC Sterne… - International journal of …, 2019 - academic.oup.com
Background Missing data are unavoidable in epidemiological research, potentially leading
to bias and loss of precision. Multiple imputation (MI) is widely advocated as an …

Carvedilol reduces the risk of decompensation and mortality in patients with compensated cirrhosis in a competing-risk meta-analysis

C Villanueva, F Torres, SK Sarin, HA Shah… - Journal of …, 2022 - Elsevier
Background & Aims Whether non-selective β-blockers can prevent decompensation of
cirrhosis warrants clarification. Carvedilol might be particularly effective since its intrinsic …

Effect of the serious illness care program in outpatient oncology: a cluster randomized clinical trial

R Bernacki, J Paladino, BA Neville… - JAMA internal …, 2019 - jamanetwork.com
Importance High-quality conversations between clinicians and seriously ill patients about
values and goals are associated with improved outcomes but occur infrequently. Objective …

[HTML][HTML] Health care hotspotting—a randomized, controlled trial

A Finkelstein, A Zhou, S Taubman… - New England Journal of …, 2020 - Mass Medical Soc
Background There is widespread interest in programs aiming to reduce spending and
improve health care quality among “superutilizers,” patients with very high use of health care …

Clinical efficacy of intravitreal aflibercept versus panretinal photocoagulation for best corrected visual acuity in patients with proliferative diabetic retinopathy at 52 …

S Sivaprasad, AT Prevost, JC Vasconcelos, A Riddell… - The Lancet, 2017 - thelancet.com
Background Proliferative diabetic retinopathy is the most common cause of severe sight
impairment in people with diabetes. Proliferative diabetic retinopathy has been managed by …

[BUCH][B] Flexible imputation of missing data

S Van Buuren - 2018 - books.google.com
Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or
mean imputation, only work under highly restrictive conditions, which are often not met in …

Consumer wearable devices for evaluation of heart rate control using digoxin versus beta-blockers: the RATE-AF randomized trial

SK Gill, A Barsky, X Guan, KV Bunting, A Karwath… - Nature Medicine, 2024 - nature.com
Consumer-grade wearable technology has the potential to support clinical research and
patient management. Here, we report results from the RATE-AF trial wearables study, which …