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Related Concept Videos

Bias01:22

Bias

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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...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Ethics in Research01:56

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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
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Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Related Experiment Video

Updated: May 10, 2025

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
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A Fresh Look at Problem Areas in Research Methodology in Nutrition.

Norman J Temple1

  • 1Centre for Science, Athabasca University, Athabasca, AB T9S 3A3, Canada.

Nutrients
|April 28, 2025
PubMed
Summary

This study critically evaluates diet, health, and disease research methods. While randomized controlled trials (RCTs) are highly ranked, epidemiological research, including cohort studies, often provides more practical insights into nutrition and disease.

Keywords:
cohort studiesconfoundingmechanistic researchnutrition researchrandomized controlled trialsresearch methods

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Area of Science:

  • Nutrition Science
  • Epidemiology
  • Biomedical Science

Background:

  • Investigating the diet-disease link is crucial for public health.
  • Randomized controlled trials (RCTs) and prospective cohort studies are primary research methods.
  • Understanding research method limitations is key to reliable findings.

Purpose of the Study:

  • Critically evaluate research methodologies for studying diet, health, and disease.
  • Compare the reliability and practical value of different research approaches.
  • Highlight potential sources of error in research, such as confounding and reverse causation.

Main Methods:

  • Critical evaluation of research methods.
  • Discussion of randomized controlled trials (RCTs).
  • Analysis of prospective cohort studies and their limitations.
  • Examination of confounding and reverse causation as sources of error.
  • Review of mechanistic research in biomedical science.

Main Results:

  • Randomized controlled trials (RCTs) possess inherent flaws that can impact reliability.
  • Epidemiological research, including RCTs and cohort studies, has yielded significant practical information on nutrition and disease.
  • Mechanistic research has contributed less practical value compared to epidemiological approaches.
  • Confounding and reverse causation can lead to inaccurate associations in research findings.

Conclusions:

  • Epidemiological research is the primary source of practical knowledge in nutrition and disease.
  • Despite their hierarchy, RCTs may not always be more reliable than cohort studies.
  • Careful consideration of research methods and potential errors is essential for valid conclusions.