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Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Group Design02:01

Group Design

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The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
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Crossover Experiments01:16

Crossover Experiments

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Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
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Blinding01:11

Blinding

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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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Random Sampling Method01:09

Random Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Odds Ratio01:09

Odds Ratio

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The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
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Updated: Jun 21, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Two-to-One Randomization: Rarely Advisable.

Boris Freidlin1, Edward L Korn1

  • 1Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD.

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|July 10, 2024
PubMed
Summary
This summary is machine-generated.

Some oncology trials use two-to-one randomization, assigning more patients to experimental treatments. This commentary questions the assumed favorable risk-benefit ratio of this common oncology trial design.

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Area of Science:

  • Oncology
  • Clinical Trials
  • Biostatistics

Background:

  • Randomized clinical trials (RCTs) commonly allocate equal patient numbers to treatment arms.
  • Some oncology trials deviate by using unequal allocation, such as two-to-one randomization, favoring the experimental arm.

Purpose of the Study:

  • To review common justifications for two-to-one randomization in oncology trials.
  • To critically evaluate the risk-benefit ratio of this non-standard randomization approach.

Main Methods:

  • Review of existing literature and common practices in oncology clinical trial design.
  • Analysis of the implications of two-to-one randomization on risk-benefit assessment.

Main Results:

  • Identifies frequent reasons cited for employing two-to-one randomization.
  • Challenges the assumption that this design inherently offers a favorable risk-benefit balance.

Conclusions:

  • The perceived advantages of two-to-one randomization in oncology may not always outweigh potential disadvantages.
  • Further scrutiny of risk-benefit ratios is warranted for trials using unequal randomization schemes.