Data suggest inadequacy of common statistical techniques for reporting outcomes in clinical trials. The Fragility Index can measure how many events the statistical significance hinges on, and may facilitate better interpretation of trial results. This study aimed to assess the Fragility Index in pediatric randomized controlled trials (RCTs) with statistically significant findings published in high-quality medical journals. A Fragility Index was calculated on included trials with dichotomous positive outcomes. Analysis of the relationship between trial characteristics and the Fragility Index was performed. Of the 429 abstracts screened, 17 met the inclusion criteria and underwent analysis. The median Fragility Index was 7 with an interquarti...
BackgroundComparative studies and randomized controlled trials (RCTs) often use the P (probability) ...
Background: A practicing clinician will often be confronted with the results of a new clinical trial...
Aims: Guidelines for the management of chronic heart failure (CHF) cite the results of randomized co...
AbstractObjectivesA P-value <0.05 is one metric used to evaluate the results of a randomized control...
Rationale Aims and Objectives: The fragility index (FI) and fragility quotient (FQ) are increasingly...
Objective:The fragility index is a clinically interpretable metric increasingly used to interpret th...
Objectives: The Fragility Index, which represents the number of patients responsible for a statistic...
This article proposes the Percent Fragility Index (PFI) as an improved measure of statistical fragil...
The fragility index (FI), the number of events the statistical significance a result depends on, and...
Statistical significance is widely used to evaluate research findings but has limitations around rep...
More than one million peri-operative patients die each year. Thus, small improvements in peri-operat...
Importance In science and medical research, extreme and dichotomous conclusions may be drawn base...
Background: The Fragility Index (FI) and Reverse Fragility Index are powerful tools to supplement th...
PURPOSEThe fragility index (FI) measures the robustness of randomized controlled trials (RCTs). It c...
Abstract Background Clinical trials routinely have pa...
BackgroundComparative studies and randomized controlled trials (RCTs) often use the P (probability) ...
Background: A practicing clinician will often be confronted with the results of a new clinical trial...
Aims: Guidelines for the management of chronic heart failure (CHF) cite the results of randomized co...
AbstractObjectivesA P-value <0.05 is one metric used to evaluate the results of a randomized control...
Rationale Aims and Objectives: The fragility index (FI) and fragility quotient (FQ) are increasingly...
Objective:The fragility index is a clinically interpretable metric increasingly used to interpret th...
Objectives: The Fragility Index, which represents the number of patients responsible for a statistic...
This article proposes the Percent Fragility Index (PFI) as an improved measure of statistical fragil...
The fragility index (FI), the number of events the statistical significance a result depends on, and...
Statistical significance is widely used to evaluate research findings but has limitations around rep...
More than one million peri-operative patients die each year. Thus, small improvements in peri-operat...
Importance In science and medical research, extreme and dichotomous conclusions may be drawn base...
Background: The Fragility Index (FI) and Reverse Fragility Index are powerful tools to supplement th...
PURPOSEThe fragility index (FI) measures the robustness of randomized controlled trials (RCTs). It c...
Abstract Background Clinical trials routinely have pa...
BackgroundComparative studies and randomized controlled trials (RCTs) often use the P (probability) ...
Background: A practicing clinician will often be confronted with the results of a new clinical trial...
Aims: Guidelines for the management of chronic heart failure (CHF) cite the results of randomized co...