DILEMMAThere is a crisis of credibility facing the child health research community because of the paucity of reliable estimates of the effects of interventions in children. Associations between risk of bias assessments and treatment effect estimates have important implications, for the clinician, and the families face important challenges as decisionmakers stemming from results that exaggerate treatment effectiveness or safety. Consequently, interventions that are not efficacious and potentially harmful may be prescribed, whereas interventions that truly are efficacious may be withheld. [1][2][3][4][5] Positive trends in pediatric research have been observed since the first trial was published in 1948. Specifically, there has been a substantial increase in the number of trials published over time, the proportion of randomized to nonrandomized controlled trials, and the proportion of child to adult trials. 6 Reporting of methods has also improved; however, methodological quality remains modest. 6 Three studies have specifically examined risk of bias in pediatric trials by using the Cochrane Risk of Bias tool. [7][8][9] The results are summarized in Table 1 by risk of bias domain. In 2 reviews, the overall risk of bias was unclear or high for the vast majority of trials. 7,8 Both of these articles also revealed that trials at high or unclear risk of bias had exaggerated treatment effects compared with those at low risk of bias. Sequence generation and allocation concealment appear to be the domains that are consistently problematic. Importantly, several variables have been found to be associated with risk of bias including source of funding (industry-sponsored research revealing higher risk of bias), nature of the interventions (behavioral/educational interventions having higher risk of bias), and number of authors (higher risk of bias with fewer authors). 9 These analyses demonstrate that there is substantial room for improvement in the methodological and reporting quality of pediatric trials. The association between risk of bias assessments and treatment effect estimates has important implications for decision-making both in terms of false-positive and false-negative results. In practice, this may result in unrealistic expectations of treatment benefit and safety. Inadequate reporting can also have an impact on systematic reviews, which are being used increasingly as a basis for informed decisionmaking. Although systematic reviews aim to be comprehensive and include all relevant studies, the number of studies contributing to various analyses, be they qualitative or quantitative, is often considerably smaller due to inadequate reporting.Ensuring methodological rigor and complete reporting is essential for informed clinical decision-making. It is critical that issues of bias are recognized and addressed by every person who conducts trials, reviews trials, funds trials, or uses trials to guide practice. This standards article was motivated by 2 key factors: (1) emerging evidence demonstrating methodological flaws a...