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A seven-year medical research study reported that women whose mothers took the drug DES during pregnancy were twice as likely to develop tissue abnormalities that might lead to cancer as were women whose mothers did not take the drug. a. This study involved the comparison of two populations. What were the populations? b. Do you suppose the data were obtained in a survey or an experiment? c. For the population of women whose mothers took the drug DES during pregnancy, a sample of 3980 women showed 63 developed tissue abnormalities that might lead to cancer. Provide a descriptive statistic that could be used to estimate the number of women out of 1000 in this population who have tissue abnormalities. d. For the population of women whose mothers did not take the drug DES during pregnancy, what is the estimate of the number of women out of 1000 who would be expected to have tissue abnormalities? e. Medical studies often use a relatively large sample (in this case, 3980 ). Why?

Step by step solution

01

Identify the Populations

The two populations involved in the study are the women whose mothers took the drug DES during pregnancy and the women whose mothers did not take the drug DES during pregnancy.

02

Determine Data Collection Method

The data were likely obtained from an observational study rather than a controlled experiment. This is because it would be unethical to assign women to take or not take a drug that could potentially harm their children.

03

Calculate Descriptive Statistic for DES Population

To find the proportion of women with tissue abnormalities in the DES population, divide the number who developed abnormalities (63) by the total number in the sample (3980). \[\text{Proportion} = \frac{63}{3980} \approx 0.0158\] This proportion is then used to estimate the number of women out of 1000:\[\text{Estimate per 1000} = 0.0158 \times 1000 = 15.8\] This means approximately 16 women out of 1000 may have tissue abnormalities in this population.

04

Calculate Estimate for Non-DES Population

Since women in the DES population are twice as likely to develop abnormalities, the proportion for the non-DES population can be estimated as half of the DES population proportion. \[\text{Estimated Proportion for Non-DES} = \frac{0.0158}{2} \approx 0.0079\]Therefore, out of 1000 women:\[\text{Estimate per 1000} = 0.0079 \times 1000 = 7.9\]Thus, approximately 8 women out of 1000 may have tissue abnormalities in the non-DES population.

05

Reason for Large Sample Size

Large sample sizes in medical studies help to increase the reliability and accuracy of the results by reducing the margin of error and providing a better representation of the population.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Population Comparison

In the context of the medical research study mentioned, population comparison is a fundamental aspect. This study focuses on two distinct groups of women: those whose mothers took the drug DES during pregnancy, and those whose mothers did not. By comparing these populations, researchers aim to understand the potential impacts of DES on the likelihood of developing tissue abnormalities.
Comparing two such populations helps to highlight differences in health outcomes, which can suggest possible relationships or causations.
By establishing a comparison, statistical inferences about the effects of DES can be made, potentially guiding future medical guidelines or research priorities.

Observational Study

Observational studies are a common approach in medical research, particularly when direct experimentation is unethical or impractical. In this study on the effects of the drug DES, an observational approach was necessary, as assigning women to take potentially harmful drugs would violate ethical standards.
Observational studies rely on data collection from naturally occurring events rather than experimental manipulation. By observing existing groups, such as the women whose mothers took or did not take DES, researchers can gather valuable insights into health outcomes and their associations with various exposures.
Despite not having the control of experimental studies, observational research is critical in identifying potential risks or correlations that warrant further investigation.

Descriptive Statistics

Descriptive statistics are a key component in summarizing and understanding data sets. In this particular study, a descriptive statistic was calculated to estimate how many women out of 1000 might develop tissue abnormalities in the DES population. By dividing the number of women with abnormalities (63) by the total sample (3980), researchers obtained a proportion: \[ \text {Proportion} = \frac{63}{3980} \approx 0.0158 \]This result suggests that about 16 out of 1000 women in this group are likely to have tissue abnormalities.
Descriptive statistics such as this offer a clear and concise summary of data, facilitating the communication of key findings and aiding in further statistical analysis.

Sample Size

Sample size is crucial in medical research studies to ensure reliability and validity of results. In this study, a large sample size of 3980 women was used to assess the effects of DES. Large samples provide several advantages:

• They reduce the margin of error, facilitating more precise estimates.
• They enhance the representativeness of the sample, increasing confidence that findings reflect the broader population.
• They improve statistical power to detect true differences or relationships if they exist.

Thus, large samples are essential for drawing credible conclusions, particularly in studies where health outcomes greatly impact future medical practices and policies.

Medical Research Study

Medical research studies, like this one investigating the effects of DES, are fundamental to advancing healthcare knowledge. Such studies help identify risk factors for diseases, evaluate the safety of medical treatments, and guide public health policies.
In this case, the research on DES provides critical insights into how certain drugs can affect the offspring of users, highlighting the need for cautious drug administration during pregnancy.
Medical studies often involve complex methodologies and ethical considerations, ensuring that findings are both scientifically valid and socially responsible. They play a pivotal role in improving patient care, enhancing disease prevention strategies, and promoting safe and effective therapeutic options.