When assessing a positive relationship between alcohol consumption and oral cancer using a case-control study, increasing the sample size of the study will result in:
-a lower p value
-a greater odds ratio
-a smaller 95% confidence interval
-a higher disease prevalence

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Answer:

None of the provided answers.

Explanation:

Based on the information provided within the question it can be said that increasing the sample size of the study will only not result in any of the provided answers. Increasing the sample size of a study only makes the test more sensitive and increases the likelihood of the null hypothesis being rejected when in actuality it is false.

When assessing a positive relationship between alcohol consumption and oral cancer using a case-control study, increasing the sample size of the study will result in:

  • a lower p-value
  • a smaller 95% confidence interval

The sample size is defined as the number of samples included in research studies. They are important to make an analysis in the experimentation.

  • These are important for better conclusions in the study.
  • Increasing the sample size will bring about many changes in the factor.
  • The sample size affects the P-values, increasing it will lower the p-value.
  • The increase in the sample size results in a smaller confidence level.
  • An increase in the sample size leads to a decrease in the odds ratio.

Thus,

When assessing a positive relationship between alcohol consumption and oral cancer using a case-control study, increasing the sample size of the study will result in:

  • a lower p-value
  • a smaller 95% confidence interval

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