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Related Concept Videos

Sample Size Calculation01:19

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Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
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One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
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Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
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Estimating Sample Size for a Feasibility Study of Computer-Assisted Input Support to EDC.

Naoki Nishimoto1, Naomi Tamura2, Jun Kunikata1

  • 1Clinical Research Support Center, Kagawa University Hospital, Kita-gun, Japan.

Studies in Health Technology and Informatics
|January 4, 2018
PubMed
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This study estimated sample sizes for a computer-assisted input support feasibility study in clinical trials. Over 1,500 observations are needed, highlighting the need for efficient research designs.

Keywords:
Sample sizeelectric data caputringhospital information systems

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Area of Science:

  • Clinical research methodology
  • Health informatics

Background:

  • Feasibility studies are crucial for planning clinical trials.
  • Computer-assisted input support can streamline data collection in clinical settings.

Purpose of the Study:

  • To estimate the required sample size for a feasibility study of computer-assisted input support.
  • To inform the design of future clinical trials utilizing this technology.

Main Methods:

  • Sample size estimation based on assumed parameters for a feasibility study.
  • Analysis of observational data requirements.

Main Results:

  • A minimum of 1,500 observations were determined to be necessary for the feasibility study.
  • The current assumptions necessitate a substantial number of data points.

Conclusions:

  • The feasibility study of computer-assisted input support requires a significant sample size.
  • Further research into more efficient study designs is recommended to optimize resource allocation.