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Related Concept Videos

Crossover Experiments01:16

Crossover Experiments

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.
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
Experimental Designs01:16

Experimental Designs

An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
Controls in Experiments01:13

Controls in Experiments

When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
Blinding01:11

Blinding

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.
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...

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A trial design that generates only ''positive'' results.

E Ernst1, M S Lee

  • 1Complementary Medicine, Peninsula Medical School, Universities of Exeter and Plymouth, 25 Victoria Park Road, Exeter EX2 4NT, United Kingdom. edzard.ernst@pms.ac.uk

Journal of Postgraduate Medicine
|July 16, 2008
PubMed
Summary

Certain acupuncture trial designs may yield false positive pain relief results. The "A + B versus B" design, often showing significant positive outcomes, requires careful consideration to avoid misleading conclusions.

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Area of Science:

  • Pain Management
  • Clinical Trial Methodology
  • Acupuncture Research

Background:

  • Randomized clinical trials (RCTs) are crucial for evaluating therapeutic interventions like acupuncture.
  • Concerns exist regarding potential biases in specific RCT designs, particularly in pain research.
  • The "A + B versus B" design is increasingly used but its validity is debated.

Purpose of the Study:

  • To test the hypothesis that "A + B versus B" RCTs for acupuncture in pain management are prone to false positive findings.
  • To identify design features that may influence the likelihood of false positive results in acupuncture trials.
  • To critically evaluate the methodological rigor of acupuncture studies with specific comparative designs.

Main Methods:

  • Systematic electronic search of six databases for relevant acupuncture RCTs.
  • Inclusion criteria focused on studies comparing "A + B" (acupuncture plus other treatments) versus "B" (other treatments alone) for pain.
  • Analysis of the reported outcomes and statistical significance of included studies.

Main Results:

  • Thirteen studies met the inclusion criteria.
  • All studies suggested acupuncture was effective for pain relief.
  • Twelve studies reported statistically significant positive results; one showed a positive trend.

Conclusions:

  • The "A + B versus B" design in acupuncture RCTs for pain is associated with a high likelihood of false positive results.
  • Specific methodological features within this design may exacerbate or mitigate bias.
  • Further research is needed to refine trial designs and ensure the reliable evaluation of acupuncture's efficacy.