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Related Concept Videos

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...
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...
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...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
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...
Study Design in Statistics01:15

Study Design in Statistics

A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...

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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
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Quasi-experimental designs in practice-based research settings: design and implementation considerations.

Margaret A Handley1, Dean Schillinger, Stephen Shiboski

  • 1Department of Epidemiology and Biostatistics, Division of General Internal Medicine, University of California San Francisco, San Francisco General Hospital Center for Vulnerable Populations, San Francisco, CA 94110, USA. handleym@medsfgh.ucsf.edu

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|September 9, 2011
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Summary

Quasi-experimental designs like the stepped-wedge and wait-list cross-over can enhance evidence for practice-based research (PBR) when individual randomization isn't feasible. These controlled trial adaptations improve methodological rigor in complex PBR settings.

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Area of Science:

  • Clinical Research Methodology
  • Practice-Based Research (PBR)
  • Intervention Evaluation

Background:

  • Randomized controlled trials (RCTs) are standard but often impractical for PBR.
  • Alternative controlled trial designs are gaining traction for intervention evaluation.
  • PBR settings frequently present challenges to individual randomization.

Purpose of the Study:

  • To present quasi-experimental designs suitable for PBR.
  • To detail methodological and implementation aspects of stepped-wedge and wait-list cross-over designs.
  • To illustrate these designs with a diabetes PBR case study.

Main Methods:

  • Focus on stepped-wedge and wait-list cross-over designs.
  • Discuss PBR-relevant design features: staggered cluster introduction, phased training, and phased intervention rollout.
  • Incorporate a case study from a PBR diabetes intervention.

Main Results:

  • Designs allow control data collection while all participants eventually receive the intervention.
  • Staggered cluster introduction and multiple data points enhance rigor.
  • Practical considerations include randomization/stratification choices and extended study timelines.

Conclusions:

  • Adaptable design features can improve methodological rigor in PBR.
  • Stepped-wedge and wait-list cross-over designs strengthen the evidence base for PBR.
  • These controlled trial adaptations are valuable in complex PBR environments.