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A randomized trial of clinically obese women examined the efficacy and safety of a partial meal replacement diet using nutritionally fortified meal- replacement shakes. Fourteen clinically obese women received the nutritional shakes and healthy diet counseling during their pregnancy. Another nine clinically obese women only received healthy diet counseling (control). Among the meal-replacement group, two women had preterm deliveries (i.e., before 37 weeks' gestation), while none in the control group did. \({ }^{25}\) (a) Does the use of the meal-replacement shakes cause excessive risk of preterm birth? Fisher's exact test with a directional alternative gives a \(P\) -value of \(0.3597 .\) Interpret the conclusions of this test. (b) Given the results above, do the results provide compelling evidence that the meal-replacements are safe with respect to causing preterm birth? (c) Provide an argument for why a directional test could be preferred over a nondirectional test given the context of this research (d) Provide an argument for why a nondirectional test could be preferred over a directional test given the context of this research

Short Answer

Expert verified
Based on the P-value of 0.3597 from Fisher's Exact Test, there is no compelling evidence that the meal-replacement shakes cause excessive risk of preterm birth. A directional test could be preferred if prior evidence suggests an increased risk with shake use, while a nondirectional test could be preferred if both increased and decreased risks are plausible.

Step by step solution

01

- Understanding Fisher's Exact Test

Fisher's Exact Test is used to determine if there are nonrandom associations between two categorical variables. In this case, the variables are the type of diet (meal-replacement or control) and the outcome (preterm or not preterm births). A P-value of 0.3597 indicates the probability of observing the data, or something more extreme, if the null hypothesis is true.
02

- Interpreting the P-value

With a P-value of 0.3597, we compare it against a level of significance, typically 0.05. If the P-value is greater than 0.05, we do not have enough evidence to reject the null hypothesis, implying that the meal-replacement shakes are not significantly associated with an increased risk of preterm birth.
03

- Evaluating Safety with Respect to Preterm Birth

Since the P-value is high, we do not have compelling evidence from this study that the meal-replacements cause preterm births. However, this does not necessarily prove that the meal-replacements are safe, as other factors could come into play, and the sample scale is small.
04

- Argument for a Directional Test

A directional test is favored when there is enough prior evidence or a theoretical rationale to predict the direction of the effect. In the context of this study, if there were reasons to believe that the shakes could increase the risk of preterm birth, a directional test would aim to detect an increase in risk, providing more power to identify this specific alternative.
05

- Argument for a Nondirectional Test

A nondirectional test would be used if there is no strong prior evidence regarding the direction of the effect, or if both an increase or decrease in risk could be plausible. It tests for any effect, whether it increases or decreases the risk of preterm birth. Given the potential health implications, it may be more prudent to use a nondirectional test to avoid missing potential adverse effects in either direction.

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Key Concepts

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

Understanding Preterm Birth Risk
Preterm birth is defined as the delivery of a baby before 37 weeks of gestation. It is a critical health risk for neonates, potentially leading to a host of developmental issues and even increased mortality. In the study outlined in the exercise, there is concern over whether a meal replacement diet increases the risk of preterm births amongst clinically obese women.

Investigating this issue requires careful analysis because preterm birth can be influenced by a wide variety of factors including, but not limited to, maternal health, lifestyle choices, and medical interventions. In the given exercise, the focus is on a potential dietary influence which must be rigorously assessed to ensure that recommendations for pregnant women are safe and evidence-based.
Role of Meal Replacement Diet in Clinical Studies
A meal replacement diet often comprises nutritionally complete shakes or bars intended to replace one or more full meals. These diets can be utilized for various purposes including weight control, which is especially pertinent for clinically obese individuals.

In clinical studies like the one described, meal replacements require close scrutiny. The study's aim is to assess both the efficacy of the diet in managing weight during pregnancy and its safety, particularly with respect to risks such as preterm birth. The nutritional adequacy of these diets for pregnant women is paramount as inadequate nutrition could potentially contribute to adverse pregnancy outcomes, including preterm delivery.
Determining Statistical Significance with Fisher's Exact Test
Statistical significance is a term used to determine if the results of a study are likely due to the intervention being tested, rather than happening by random chance. Fisher's Exact Test is particularly useful for assessing the association between two categorical variables in small sample sizes. With a P-value higher than the conventional alpha level of 0.05 (in this case, 0.3597), the study does not present statistical evidence that the meal replacement shakes are associated with an increased risk of preterm birth.

However, it's crucial to note that 'not significant' does not equate to 'no difference'. It simply means that any observed difference could reasonably occur by chance rather than due to the diet intervention, given the sample data. Researchers and readers should consider both the size of the effect and the precision of the estimate when interpreting statistical significance.
Directional vs Nondirectional Test in Clinical Research
The choice between a directional (one-tailed) and a nondirectional (two-tailed) hypothesis test hinges on the specific research question and prior evidence. A directional test is used when the researchers have a strong, theoretically grounded expectation of the direction of the effect. In the context of the meal replacement diet study, if prior evidence suggested that such diets might increase the risk of preterm birth, a one-tailed test would be appropriate for detecting an increase in risk.

On the other hand, a nondirectional test does not presuppose the direction of the effect and is sensitive to differences in both directions. This is generally more conservative and is fitting when any change, increase or decrease, could be harmful, or when previous evidence does not strongly suggest a particular outcome direction. In healthcare research where unintended consequences could be severe, a nondirectional test may be preferable to ensure the safety of an intervention.

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Most popular questions from this chapter

Phenytoin is a standard anticonvulsant drug that unfortunately has many toxic side effects. A study was undertaken to compare phenytoin with valproate, another drug in the treatment of epilepsy. Patients were randomly allocated to receive either phenytoin or valproate for 12 months. Of 20 patients receiving valproate, 6 were free of seizures for the 12 months, while 6 of 17 patients receiving phenytoin were seizure free. (a) Consider a chi-square test to compare the seizure-free response rates for the two drugs using a nondirectional alternative (i) State the null and alternative hypotheses in symbols. (ii) What is the value of the test statistic? (iii) The \(P\) -value for the test is \(0.73 .\) If \(\alpha=0.10,\) what is your conclusion regarding the hypotheses in (ii)? (b) Do your conclusions in part (a)(iii) provide evidence that valproate and phenytoin are equally effective in preventing seizures? Discuss.

For each of the following tables, calculate (i) the relative risk and (ii) the odds ratio. $$\begin{aligned}&\text { (a) }\\\&\begin{array}{|rr|}\hline 25 & 23 \\\492 & 614 \\\\\hline\end{array}\end{aligned}$$ $$\begin{aligned}&\text { (b) }\\\&\begin{array}{|cr|}\hline 12 & 8 \\\93 & 84 \\\\\hline\end{array}\end{aligned}$$

An experiment involving subjects with schizophrenia compared "personal therapy" to "family therapy." Only 2 out of 23 subjects assigned to the personal therapy group suffered psychotic relapses in the first year of the study, compared to 8 of the 24 subjects assigned to the family therapy group. \(^{29}\) Is this sufficient evidence to conclude, at the 0.05 level of significance, that the two types of therapies are not equally effective? Conduct Fisher's exact test using a nondirectional alternative.

Researchers in Norway found that of 61,042 children born to women who took folic acid while pregnant there were 64 who developed autism. \({ }^{63}\) This compares to 50 out of 24,134 for women who did not take folic acid. (a) Calculate the sample value of the odds ratio. (b) Construct a \(95 \%\) confidence interval for the population value of the odds ratio. (c) Interpret the confidence interval from part (b) in the context of this setting.

For each of the following tables, calculate (i) the relative risk and (ii) the odds ratio. $$\begin{aligned}&\text { (a) }\\\&\begin{array}{|rr|}\hline 14 & 16 \\\322 & 412 \\\\\hline\end{array}\end{aligned}$$ $$\begin{aligned}&\text { (b) }\\\&\begin{array}{|rr|}\hline 15 & 7 \\\338 & 82 \\\\\hline\end{array}\end{aligned}$$

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