Objective: Randomized controlled trials (RCTs) in obesity are plagued by missing data due
to participant dropouts. Most methodologists and regulatory bodies agree that the primary …

Introduction: Understanding participant demographic characteristics that inform the optimal
design of obesity randomized controlled trials (RCTs) have been examined in few studies …

Background Dropouts and missing data are nearly-ubiquitous in obesity randomized
controlled trails, threatening validity and generalizability of conclusions. Herein, we meta …

998 (caloric restriction), rather than metabolism of macronutrients, are associated with the
maintenance of weight loss. Although intensive-support programs may be more costly than …

Selective outcome reporting is a form of bias resulting from discrepancies between
outcomes presented in a trial's registration and the published report. We investigate this …

In the approval process for new weight management therapies, regulators typically require
estimates of effect size. Usually, as with other drug evaluations, the placebo-adjusted …

This paper brings together some modern statistical methods to address the problem of
missing data in obesity trials with repeated measurements. Such missing data occur when …

Objective. To evaluate patient opinions on acceptable risks in exchange for a given degree
of weight loss and their implications for sample size determination in obesity randomized …

Study‐level design characteristics that inform the optimal design of obesity randomized
controlled trials (RCT s) have been examined in few studies. A pre‐randomization run‐in …

Background: Quality of reporting (QR) in industry-funded research is a concern of the
scientific community. Greater scrutiny of industry-sponsored research reporting has been …