Necesidades actuales en el proceso de formación

little of these foods. Fruits and vegetables are rich in “antioxidants” such as vitamins A, C, and E. Will taking antioxidants help prevent colon cancer? A clinical trial studied this question with 864 people who were at risk for colon cancer. The subjects were divided into four groups: daily beta-carotene, daily vitamins C and E, all three vitamins every day, and daily placebo. After four years, the researchers were surprised to find no significant difference in colon cancer among the groups.

(a) What are the explanatory and response variables in this experiment? (b) Outline the design of the experiment. (The diagrams in Figures 5.2 and 5.3

are models.)

(c) Assign labels to the 864 subjects and use Table A, starting at line 118, to

choose the first 5 subjects for the beta-carotene group.

(d) What does “no significant difference” mean in describing the outcome of the

study?

(e) Suggest some lurking variables that could explain why people who eat lots

of fruits and vegetables have lower rates of colon cancer. The experiment sug- gests that these variables, rather than the antioxidants, may be responsible for the observed benefits of fruits and vegetables.

5.12 Conserving energy. Example 5 describes an experiment to learn

whether providing households with electronic meters or with charts will reduce their electricity consumption. An executive of the electric company objects to including a control group. He says, “It would be cheaper to just compare elec- tricity use last year [before the meter or chart was provided] with consumption in the same period this year. If households use less electricity this year, the meter or chart must be working.” Explain clearly why this design is inferior to that in Example 5.

5.13 Improving Chicago’s schools. The National Science Foun-

dation (NSF) paid for “systemic initiatives” to help cities reform their public education systems in ways that should help students learn bet- ter. Does this program work? The initiative in Chicago focused on improving the teaching of mathematics in high schools. The average scores of students on a standard test of math skills were higher after two years of the program in 51 out of 60 high schools in the city. Leaders of NSF said this was evidence that the Chicago program was succeeding. Critics said this doesn’t say anything about the effect of the systemic initiative. Are these critics correct? Explain.

5.14 Tool abrasion and sharpening angle. A manufacturer of chisels is in-

terested in determining how the angle at which the cutting edge is sharpened affects tool abrasion. To answer this question, engineers obtain 20 similar chis- els. They sharpen five chisels at each of 22.5, 25, 27.5, and 30 degrees. Then they measure the amount of abrasion (rated on a scale of 1 to 10, with 10 being the worst) after cutting several mortises (square holes) in 3/4-inch hard maple boards.

Chapter 5 Exercises 97

(b) What is the explanatory variable, and what values does it take? (c) What is the response variable?

5.15 Reducing health care spending. Will people spend less on

health care if their health insurance requires them to pay some part of the cost themselves? An experiment on this issue asked if the per- centage of medical costs that is paid by health insurance has an effect both on the amount of medical care that people use and on their health. The treatments were four insurance plans. Each plan paid all medical costs above a ceiling. Be- low the ceiling, the plans paid 100%, 75%, 50%, or 0% of costs incurred.

(a) Outline the design of a randomized comparative experiment suitable for

this study.

(b) Briefly describe the practical and ethical difficulties that might arise in such

an experiment.

5.16 Tool abrasion and sharpening angle. Use a diagram to describe a

randomized comparative experimental design for the tool abrasion experiment of Exercise 5.14. Use Table A, starting at line 120, to do the randomization required by your design.

5.17 Treating drunk drivers. Once a person has been convicted of drunk

driving, one purpose of court-mandated treatment or punishment is to prevent future offenses of the same kind. Suggest three different treatments that a court might require. Then outline the design of an experiment to compare their effectiveness. Be sure to specify the response variables you will measure.

5.18 Statistical significance. A randomized comparative experiment exam-

ines whether the drug memantine improves the cognition of patients with mod- erate to severe Alzheimer’s disease. The subjects receive either memantine or a placebo for 24 weeks. The researchers conclude that on measures of cogni- tion, the memantine group had significantly better outcomes than the placebo group. “Significant” in this conclusion means statistically significant. Explain what “statistically significant” means in the context of this experiment, as if you were speaking to a doctor who knows no statistics.

5.19 Statistical significance. A study, mandated by Congress when

it passed No Child Left Behind in 2002, evaluated 15 reading and math software products used by 9424 students in 132 schools across the country during the 2004–2005 school year. It is the largest study that has compared students who received the technology with those who did not, as measured by their scores on standardized tests. There were no statistically significant differences between students who used software and those who did not. Explain the meaning of “no statistically significant differences” in plain language.

5.20 Memantine and Alzheimer’s disease. Some medical researchers sus-

pect that the drug memantine improves the cognition of patients with moderate to severe Alzheimer’s disease. You have available 50 people with moderate to severe Alzheimer’s disease who are willing to serve as subjects.

(a) Outline an appropriate design for the experiment, taking the placebo effect

into account.

(b) The names of the subjects appear below. If you have access to statistical

software, use it to carry out the randomization required by your design. Other- wise, use Table A, beginning at line 131, to do the randomization required by your design. List the subjects to whom you will give the drug.

Alomar Denman Han Liang Rosen

Andersen Drake Hitchcock Lin Solomon

Asihiro Durr Howard Maldonado Sroka

Bennett Edwards Hruska Marsden Tompkins

Bikalis Farouk Imrani Mondesi Townsend

Chen Fratianna James O’Brian Tullock

Clemente George Kaplan Ogle Underwood

Cranston Green Krushchev Orosco Veras

Critchlow Guha Kumar Powell Weimer

Curtis Guillen Lawless Rodriguez Zhang

5.21 Treating prostate disease. A large study used records from Canada’s

national health care system to compare the effectiveness of two ways to treat prostate disease. The two treatments are traditional surgery and a new method that does not require surgery. The records described many patients whose doc- tors had chosen one or the other method. The study found that patients treated by the new method were significantly more likely to die within 8 years.

(a) Further study of the data showed that this conclusion was wrong. The ex-

tra deaths among patients treated with the new method could be explained by lurking variables. What lurking variables might be confounded with a doctor’s choice of surgical or nonsurgical treatment?

(b) You have 300 prostate patients who are willing to serve as subjects in an

experiment to compare the two methods. Use a diagram to outline the design of a randomized comparative experiment.

5.22 Prayer and meditation. You read in a magazine that “nonphysical

treatments such as meditation and prayer have been shown to be effective in controlled scientific studies for such ailments as high blood pressure, insom- nia, ulcers, and asthma.” Explain in simple language what the article means by “controlled scientific studies” and why such studies might show that medi- tation and prayer are effective treatments for some medical problems.

5.23 Exercise and bone loss. Does regular exercise reduce bone loss in post-

menopausal women? Here are two ways to study this question. Explain clearly why the second design will produce more trustworthy data.

1. A researcher finds 1000 postmenopausal women who exercise regularly. She matches each with a similar postmenopausal woman who does not exercise reg- ularly, and she follows both groups for 5 years.

2. Another researcher finds 2000 postmenopausal women who are willing to participate in a study. She assigns 1000 of the women to a regular program of

Chapter 5 Exercises 99

supervised exercise. The other 1000 continue their usual habits. The researcher follows both groups for 5 years.

5.24 Safety of anesthetics. The death rates of surgical patients

differ for operations in which different anesthetics are used. An obser- vational study found these death rates for four anesthetics:

Anesthetic: Halothane Pentothal Cyclopropane Ether

Death rate: 1.7% 1.7% 3.4% 1.9%

This is not good evidence that cyclopropane is more dangerous than the other anesthetics. Suggest some lurking variables that may be confounded with the choice of anesthetic in surgery and that could explain the different death rates.

5.25 Randomization at work. To demonstrate how randomization reduces

confounding, consider the following situation. A nutrition experimenter intends to compare the weight gain of newly weaned male rats fed Diet A with that of rats fed Diet B. To do this, she will feed each diet to 10 rats. She has available 10 rats of genetic strain 1 and 10 of strain 2. Strain 1 is more vigorous, so if the 10 rats of strain 1 were fed Diet A, the effects of strain and diet would be confounded, and the experiment would be biased in favor of Diet A.

(a) Label the rats 00, 01,_{. . . , 19. Use Table A to assign 10 rats to Diet A. Do this}

four times, using different parts of the table, and write down the four groups assigned to Diet A.

(b) Unknown to the experimenter, the rats labeled 00, 02, 04, 06, 08, 10, 12,

14, 16, and 18 are the 10 strain 1 rats. How many of these rats were in each of the four Diet A groups that you generated? What was the average number of strain 1 rats assigned to Diet A?

EXPLORING THE WEB

5.26 Web-based exercise. Go to the New England Journal of Medicine

Web site (http://content.nejm.org) and find the article “Initial Treatment of Aggressive Lymphoma with High-Dose Chemotherapy and Autologous Stem-Cell Support” by Milpied et al. in the March 25, 2004, issue. Was this a comparative study? Was randomization used? How many subjects took part? Were the results statistically significant? (If your institution does not have a subscription to the New England Journal of Medicine, you can find an abstract of the article atwww.ncbi.nlm.nih.gov/entrez/ query.fcgi?cmd=Retrieve&db=PubMed&list uids=15044639&dopt= Abstract.)

You can find the latest medical research in the Journal of the Ameri- can Medical Association (www.jama.ama-assn.org) and the New England Journal of Medicine (http://content.nejm.org). Many of the articles de- scribe randomized comparative experiments, and even more use the lan- guage of statistical significance.

NOTES AND DATA SOURCES

Page 82 Example 1: Allan H. Schulman

and Randi L. Sims, “Learning in an online format versus an in-class format: an exper- imental study,” T.H.E. Journal, June 1999, pp. 54–56.

Page 82 Example 2: Details of the Carolina

Abecedarian Project, including references to published work, can be found online atwww .fpg.unc.edu/∼abc.

Page 84 Example 3: R. W. Summers et al.,

“Trichuris suis therapy in Crohn’s disease,” Gut, 54 (2005), pp. 87–90.

Page 86 Example 4: Samuel Charache et

al., “Effects of hydroxyurea on the frequency of painful crises in sickle cell anemia,” New England Journal of Medicine, 332 (1995), pp. 1317–1322.

Page 89 H. Sacks, T. C. Chalmers, and

H. Smith, Jr., “Randomized versus historical controls for clinical trials,” American Jour- nal of Medicine, 72 (1982), pp. 233–240.

Page 92 Example 6: Marilyn Ellis, “Attend-

ing church found factor in longer life,” USA Today, August 9, 1999.

Page 92 Example 7: Dr. Daniel B. Mark,

in Associated Press, “Age, not bias, may ex- plain differences in treatment,” New York Times, April 26, 1994. Dr. Mark was com- menting on Daniel B. Mark et al., “Absence of sex bias in the referral of patients for car- diac catheterization,” New England Journal of Medicine, 330 (1994), pp. 1101–1106. See the correspondence from D. Douglas Miller and Leslee Shaw, “Sex bias in the care of patients with cardiovascular disease,” New

England Journal of Medicine, 331 (1994), p. 883, for comments on a study with oppos- ing results.

Page 94 Exercise 5.3: A. Finder, “Math and

reading SAT scores drop,” New York Times, August 28, 2007.

Page 94 Exercise 5.4: R. Stein, “Weight-

loss surgery tied to a longer life,” Washington Post, August 23, 2007.

Page 94 Exercise 5.6: Information about

the Physicians’ Health Study is available online at http://phs.bwh.harvard.edu/phs1 .htm.

Page 96 Exercise 5.11: G. Kolata, “New

study finds vitamins are not cancer preven- ters,” New York Times, July 21, 1994. For the details, look in the Journal of the American Medical Association for the same date.

Page 96 Exercise 5.13: Letter to the edi-

tor by Stan Metzenberg, Science, 286 (1999), p. 2083.

Page 97 Exercise 5.15 is based on Christo-

pher Anderson, “Measuring what works in health care,” Science, 263 (1994), pp. 1080– 1082.

Page 97 Exercise 5.19: A. R. Paley,

“Software’s benefits on tests in doubt,” Washington Post, April 5, 2007.

Page 99 Exercise 5.24: L. E. Moses and

F. Mosteller, “Safety of anesthetics,” in J. M. Tanur et al. (eds.), Statistics: A Guide to the Unknown, 3rd edition, Wadsworth, 1989, pp. 15–24.

CHAPTER

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