Related Experiment Video
Updated: Sep 12, 2025

09:49
Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
Published on: December 24, 2015
14.3K
Registry or randomization - must it be evidence or could it be coincidence?
Olga Radulova1, Florian Oehme1,2,3,4,5, Sandra Korn1,2,3,4,5
1Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Innovative Surgical Sciences
|August 8, 2025
Summary
Clinical registries and randomized controlled trials (RCTs) have evolved, with new register-based RCTs merging their strengths. This review explores their history and future for high-quality clinical research.
Area of Science:
- Clinical research methodology
- Evidence-based medicine
Background:
- Clinical registries and randomized controlled trials (RCTs) are established study designs.
- Experience has elucidated the advantages and disadvantages of both approaches.
- Recent focus is on integrating RCTs and clinical registries.
Purpose of the Study:
- To review the historical development of clinical trials.
- To assess the current status of clinical trial methodologies.
- To explore future directions for high-quality clinical trials.
Main Methods:
- Literature review of clinical trial evolution.
- Analysis of past experiences with different study designs.
- Discussion of emerging trial concepts like register-based RCTs.
Main Results:
- RCTs and clinical registries offer distinct benefits and limitations.
- Register-based RCTs aim to combine the strengths of both designs.
- Continuous improvement in trial models is essential.
Conclusions:
- The field of clinical trials is advancing towards hybrid models.
- Understanding the evolution of study designs informs future research.
- Optimizing clinical trial methodologies enhances evidence quality.
Related Concept Videos
Randomized Experiments
7.2K
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...
Simple randomization
Simple...
7.2K
Unusual Results
3.3K
Unusual results are those that have a very low chance of occurring. Unusual results can be identified using probabilities and the range rule of thumb. In problems involving probability, unusual results can be observed in 2 instances – an unusually high number of successes or an unusually low number of successes.
According to the range rule of thumb, any value above or below two standard deviations, 2σ from the mean, μ is considered unusual.
Maximum unusual value =...
According to the range rule of thumb, any value above or below two standard deviations, 2σ from the mean, μ is considered unusual.
Maximum unusual value =...
3.3K
Random and Systematic Errors
12.6K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
12.6K
Random Variables
13.4K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
13.4K
Blinding
2.6K
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.
2.6K
Bias
4.9K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
4.9K

