Explore the latest in research, methods, and statistics, including topics in clinical research infrastructure, design, conduct, and analysis.
This special communication reviews the benefits and limitations of conducting clinical trials without clinical sites.
This JAMA Guide to Statistics and Medicine explains immortal time bias, an error in estimating the association between an exposure and an outcome that results from misclassification or exclusion of time intervals; explains how this misclassification or exclusion can occur; and presents approaches to minimize or avoid immortal time bias.
This Special Communication advocates the use of personalized N-of-1 trials in clinical settings as a means of identifying optimal treatment options for individual patients.
This narrative review discusses the construction and face validity of the Seattle Angina Questionnaire, describes the alignment of its scores with clinical constructs, and explains how to interpret its scores as outcome measures in clinical trials and clinical care among patients with angina.
This systematic review summarizes the long-term effects of randomized clinical trials about acute coronary syndromes after the primary hypothesis was addressed or if the clinical trial did not achieve its primary objective.
This systematic review uses data from randomized clinical trials obtained via MEDLINE, Embase, Cochrane Central Register, and ClinicalTrials.gov to investigate the inclusion of older adults in studies pertaining to systemic medication used in the treatment of atopic dermatitis.
This JAMA Guide to Statistics and Methods explains worst-rank score methods, a nonparametric statistical technique that assigns worst-case outcomes for patients with missing data to account for missingness that may reflect an adverse change in patient status (informative rather than random missingness).
This JAMA Guide to Statistics and Methods explains the differences between risk ratios and odds ratios and when each is the more appropriate statistic to estimate measures of effect or association in research findings.
This Special Communication describes population surveys, cohort studies, administrative claims, large genetic data sets, and electronic health records published in JAMA Psychiatry between 1979 and 2019.
This JAMA Guide to Statistics and Methods summarizes latent class analysis, a statistical technique that estimates the probability of patients belonging to a discrete group that shares specific combinations of observed variables, and explains how the technique is used and can be interpreted in observational research.
This JAMA Guide to Statistics and Methods explains the use of regression discontinuity analysis on observational data—the difference in effect estimate between regression analyses using an exposure variable above and beneath a threshold of interest—to distinguish changes attributable to an intervention from background ecological or secular changes.
This JAMA Guide to Statistics and Methods reviews the use of prerandomization run-in periods to improve treatment adherence and reduce loss to follow-up, and explains how they should be interpreted.
This JAMA Guide to Statistics and Methods reviews the susceptible-infected-recovered (SIR) model for predicting the course of infectious disease outbreaks, which describes the transition of individuals from susceptible to infected and from infected to recovered, and discusses the model’s limitations, including oversimplification of complex disease processes.
This JAMA Guide to Statistics and Methods reviews overlap weighting, a technique to reduce the influence of patients who are nearly always treated or never treated on propensity score estimates, when attempting to reduce bias associated with nonrandomized treatment in observational study populations.
This review examines approaches to causal inference in psychiatric epidemiology.
This systematic review characterizes the representation of older patients, women, and racial and ethnic minority groups in contemporary acute coronary syndrome randomized trials.
This Special Communication discusses the formation of the National Institute of Neurological Disorders and Stroke Network for Excellence in Neuroscience Clinical Trials (NeuroNEXT) and what NeuroNEXT has accomplished within the first 7 years.
This JAMA Guide to Statistics and Methods reviews common types of nonparametric statistics, which make no assumptions about underlying population distribution, and explains when they are appropriate to use.
This narrative review examines the neuroimaging literature to explore the current use of the term prediction, identify challenges in establishing evidence for prediction, and provide best-practice recommendations to avoid common problems in prediction measurement and ensure predictive validity.
This JAMA Guide to Statistics and Methods explains the meaning underlying the proportional hazards (PH) assumption underlying Cox regression and survival analyses, and proposes that reports of survival differences might replace statistical tests of the PH assumption because they are more meaningful.
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