Explore the latest in research, methods, and statistics, including topics in clinical research infrastructure, design, conduct, and analysis.
This Guide to Statistics and Methods summarizes the key characteristics, strengths, and limitations of the Standards for Quality Improvement Reporting Excellence (SQUIRE) reporting guideline, a tool for the communication, review, and appraisal of all types of studies reporting on systemic health care improvement.
This Guide to Statistics and Methods provides an overview of the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline, including its benefits and limitations.
This JAMA Guide to Statistics and Methods describes various methods to handle trial participant nonadherence to study interventions.
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 special communication reviews the benefits and limitations of conducting clinical trials without clinical sites.
This Guide to Statistics and Methods provides an overview of the Consolidated Standards of Reporting Trials framework, emphasizes several important considerations when using it, and points out its limitations.
This Guide to Statistics and Methods summarizes the use, required items, and limitations of the Transparent Reporting of Evaluations with Nonrandomized Designs (TREND) reporting guidelines for nonrandomized/quasi-experimental study designs.
This Guide to Statistics and Methods describes the Preferred Reporting Items of Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines.
This Guide to Statistics and Methods summarizes the use, required items, and limitations of the American Association for Public Opinion Research (AAPOR) reporting guidelines for survey studies.
This Guide to Statistics and Methods provides an overview of the Consolidated Health Economic Evaluation Reporting Standards.
This Guide to Statistics and Methods provides an overview of the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) guidelines, including its uses and limitations.
This Guide to Statistics and Methods summarizes the key characteristics, strengths, and limitations of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) reporting guidelines for comparative effectiveness research studies using nonrandomized, secondary data sources.
This Guide to Statistics and Methods describes Standards for Reporting Qualitative Research (SRQR) and the Consolidated Criteria for Reporting Qualitative Research (COREQ) reporting guidelines for qualitative research.
This Guide to Statistics and Methods provides an overview of the Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guidelines.
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 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 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.
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