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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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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...
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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Sample size of the reference sample in a case-augmented study.

Palash Ghosh1, Anup Dewanji2

  • 1Centre for Quantitative Medicine, Duke-National University of Singapore Medical School, Singapore.

Pharmacoepidemiology and Drug Safety
|March 16, 2017
PubMed
Summary
This summary is machine-generated.

This study addresses minimum sample size calculations for case-augmented studies, which combine case data with covariate information from a reference sample. Determining the optimal reference sample size is crucial for these increasingly popular research designs.

Keywords:
adverse drug reactioncase-augmented studycase-control datapharmacoepidemiologypharmacovigilancereference samplesample sizespontaneous reporting database

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Area of Science:

  • Applied statistics
  • Biostatistics
  • Epidemiology

Background:

  • Case-augmented studies are increasingly used in pharmacovigilance, ecology, and econometrics.
  • These studies combine a case sample with a reference sample from the source population.
  • Covariate information is known for the reference sample, but not necessarily for the case sample.

Purpose of the Study:

  • To address the critical issue of minimum sample size calculation for reference samples in case-augmented studies.
  • To discuss related considerations for designing effective case-augmented studies.

Main Methods:

  • The study focuses on the statistical methodology for determining the minimum required size of the reference sample.
  • It involves analyzing the relationship between case and reference sample sizes and study power.

Main Results:

  • The research provides a framework for calculating the minimum sample size for the reference group.
  • It highlights the importance of adequate reference sample size for study validity.

Conclusions:

  • Accurate minimum sample size calculation is essential for the successful implementation of case-augmented studies.
  • This methodology supports robust research designs across various scientific disciplines.