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Related Concept Videos

Clinical Trials01:16

Clinical Trials

8.5K
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...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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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...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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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,...
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Kaplan-Meier Approach01:24

Kaplan-Meier Approach

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The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
807
Blinding01:11

Blinding

3.0K
Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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Censoring Survival Data01:09

Censoring Survival Data

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Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
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Commentary: indefensible methods of handling missing data in clinical trials.

Stephan Arndt1

  • 1Department of Psychiatry , Carver College of Medicine, University of Iowa, Iowa City, Iowa; Department of Biostatistics , College of Public Health, University of Iowa, Iowa City, Iowa; Iowa Consortium for Substance Abuse Research and Evaluation , University of Iowa, Iowa City, Iowa.

Alcoholism, Clinical and Experimental Research
|October 22, 2013
PubMed
Summary

Inappropriate statistical methods for missing data, like last observation carried forward, persist in treatment trials. Modern imputation techniques are recommended for accurate clinical research publication.

Keywords:
Alcohol Use DisorderClinical TrialsMissing DataRelapseTreatment

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Area of Science:

  • Biostatistics
  • Clinical Trials
  • Medical Research

Background:

  • Inappropriate statistical methods for handling missing data are frequently observed in published treatment trials.
  • Static imputation methods such as last observation carried forward or assumed worst-case scenarios are still prevalent.

Purpose of the Study:

  • To discuss reasons for the slow adoption of modern, defensible statistical methods for missing data in clinical research.
  • To emphasize the urgency for improved statistical practices in scientific literature.

Main Methods:

  • Brief overview of factors hindering the widespread use of advanced statistical techniques for missing data.
  • Discussion on the current state of statistical methodology in treatment trial publications.

Main Results:

  • Despite a delay being understandable, the continued use of outdated methods for missing data is no longer justifiable.
  • The literature has not yet fully adopted more appropriate and robust statistical approaches.

Conclusions:

  • Journal editors and peer reviewers must insist on the use of appropriate statistical methods in published research.
  • Promoting the adoption of modern statistical techniques is crucial for the integrity of clinical trial reporting.