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Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

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
Simple...
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.
Blind Procedures02:07

Blind Procedures

Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which child was...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Group Design02:01

Group Design

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 the two are due to...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...

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Related Experiment Video

Updated: Jun 6, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Database recruitment: a solution to poor recruitment in randomized trials?

Tracy Stuardi1, Helen Cox, David J Torgerson

  • 1Department of Health Sciences, University of York, York, UK. tls504@york.ac.uk

Family Practice
|December 16, 2010
PubMed
Summary

Database recruitment, using electronic medical records, efficiently finds participants for health care research. While cost-effective and timely, this method has limitations.

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Area of Science:

  • Health Services Research
  • Clinical Trials Methodology

Background:

  • Many health care research studies struggle with under-recruitment, leading to power issues, cost overruns, and delayed findings.
  • Database recruitment, which involves searching electronic medical records (EMR) for potential participants, is an increasingly adopted strategy to address sample size challenges.

Purpose of the Study:

  • To discuss the benefits and drawbacks of employing database recruitment for identifying participants in health care research.
  • To specifically examine the application of database recruitment within the primary care setting.

Main Methods:

  • Literature review and discussion of database recruitment strategies.
  • Analysis of advantages and disadvantages of using electronic medical records for participant identification.

Main Results:

  • Database recruitment offers a straightforward and economical approach to recruiting substantial patient numbers efficiently.
  • This method facilitates timely participant enrollment, crucial for meeting research timelines.

Conclusions:

  • Database recruitment is a valuable tool for enhancing participant recruitment in health care research, particularly in primary care.
  • Despite its advantages in speed and cost-effectiveness, researchers must acknowledge and plan for the inherent limitations of this recruitment strategy.