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Related Concept Videos

Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...

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The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials
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A tutorial on sensitivity analyses in clinical trials: the what, why, when and how.

Lehana Thabane1, Lawrence Mbuagbaw, Shiyuan Zhang

  • 1Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada. ThabanL@mcmaster.ca

BMC Medical Research Methodology
|July 17, 2013
PubMed
Summary

Sensitivity analyses are vital for confirming clinical trial results by testing assumptions. Reporting these analyses, including their rationale and impact, enhances study transparency and reliability.

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Area of Science:

  • Clinical Trials Methodology
  • Biostatistics
  • Evidence-Based Medicine

Background:

  • Sensitivity analyses are crucial for evaluating the robustness of clinical trial findings.
  • They assess the impact of variations like analytical methods, missing data, and outliers on study conclusions.
  • This paper is part of a series clarifying key methodological issues in clinical trial design and analysis.

Purpose of the Study:

  • To provide a comprehensive overview of sensitivity analyses in clinical trials.
  • To discuss their definition, necessity, and practical application.
  • To explore different types, address common questions, and offer reporting guidelines.

Main Methods:

  • Exploration of the concept and importance of sensitivity analyses.
  • Review of various types of sensitivity analyses with literature examples.
  • Discussion of frequently asked questions and reporting recommendations.

Main Results:

  • Sensitivity analyses are essential for validating primary analysis conclusions.
  • Understanding different types allows for a thorough assessment of data variations.
  • Clear reporting enhances the interpretability and trustworthiness of trial outcomes.

Conclusions:

  • Sensitivity analyses are indispensable for robust clinical trial reporting.
  • Recommendations are provided for their inclusion, rationale, and discussion in study reports.
  • Incorporating sensitivity analyses strengthens the overall evidence presented in clinical trials.