AbstractObjectivesA P-value <0.05 is one metric used to evaluate the results of a randomized controlled trial (RCT). We wondered how often statistically significant results in RCTs may be lost with small changes in the numbers of outcomes.Study Design and SettingA review of RCTs in high-impact medical journals that reported a statistically significant result for at least one dichotomous or time-to-event outcome in the abstract. In the group with the smallest number of events, we changed the status of patients without an event to an event until the P-value exceeded 0.05. We labeled this number the Fragility Index; smaller numbers indicated a more fragile result.ResultsThe 399 eligible trials had a median sample size of 682 patients (range: 1...
Background: It has been suggested that the results from fragile trials are less likely to translate ...
Background: RCTs (randomized controlled trials) are the preferred source of evidence to support prof...
Published research often address aspects related to “statistical significance” but fail to address t...
AbstractObjectivesA P-value <0.05 is one metric used to evaluate the results of a randomized control...
Data suggest inadequacy of common statistical techniques for reporting outcomes in clinical trials. ...
Objectives: The Fragility Index, which represents the number of patients responsible for a statistic...
Aims: Guidelines for the management of chronic heart failure (CHF) cite the results of randomized co...
PURPOSEThe fragility index (FI) measures the robustness of randomized controlled trials (RCTs). It c...
Importance In science and medical research, extreme and dichotomous conclusions may be drawn base...
The fragility index (FI), the number of events the statistical significance a result depends on, and...
Rationale Aims and Objectives: The fragility index (FI) and fragility quotient (FQ) are increasingly...
Abstract Background Clinical trials routinely have pa...
Objective:The fragility index is a clinically interpretable metric increasingly used to interpret th...
More than one million peri-operative patients die each year. Thus, small improvements in peri-opera...
This article proposes the Percent Fragility Index (PFI) as an improved measure of statistical fragil...
Background: It has been suggested that the results from fragile trials are less likely to translate ...
Background: RCTs (randomized controlled trials) are the preferred source of evidence to support prof...
Published research often address aspects related to “statistical significance” but fail to address t...
AbstractObjectivesA P-value <0.05 is one metric used to evaluate the results of a randomized control...
Data suggest inadequacy of common statistical techniques for reporting outcomes in clinical trials. ...
Objectives: The Fragility Index, which represents the number of patients responsible for a statistic...
Aims: Guidelines for the management of chronic heart failure (CHF) cite the results of randomized co...
PURPOSEThe fragility index (FI) measures the robustness of randomized controlled trials (RCTs). It c...
Importance In science and medical research, extreme and dichotomous conclusions may be drawn base...
The fragility index (FI), the number of events the statistical significance a result depends on, and...
Rationale Aims and Objectives: The fragility index (FI) and fragility quotient (FQ) are increasingly...
Abstract Background Clinical trials routinely have pa...
Objective:The fragility index is a clinically interpretable metric increasingly used to interpret th...
More than one million peri-operative patients die each year. Thus, small improvements in peri-opera...
This article proposes the Percent Fragility Index (PFI) as an improved measure of statistical fragil...
Background: It has been suggested that the results from fragile trials are less likely to translate ...
Background: RCTs (randomized controlled trials) are the preferred source of evidence to support prof...
Published research often address aspects related to “statistical significance” but fail to address t...