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Introductory Statistics Explained (1.11) Exercises Inference for Proportions © 2022, 2023, 2024 Jeremy Balka Chapter 11: Inference for one or two proportions. v1.11 W24 Draft J.B.’s strongly suggested exercises: 2 , 5 , 6 , 8 , 10 , 12 , 16 , 17 , 19 , 20 , 24 , 25 , 26 , 27 NB The section titles and numbers are not yet synced up with the text. 1 Introduction 2 The Sampling Distribution of ˆ p 1. What are the mean and variance of the sampling distribution of ˆ p ? 2. For what values of n and p does the normal approximation to the distribution of ˆ p work best? For what values of n and p is the normal approximation very poor? 3 Confidence Intervals and Hypothesis Tests for the Popula- tion Proportion p 3. When do we create a confidence interval for ˆ p ? 4. A random sample of 200 observations from a population revealed that 62 individuals had a certain characteristic. (a) What is ˆ p ? (b) What is SE p ) ? (c) What is a 95% confidence interval for p ? (d) If we wish to test the null hypothesis that p = 0 . 5 , what is SE 0 p ) ? (e) What is the value of the appropriate test statistic? 5. In each of the following scenarios, state if it is reasonable to use the normal approximation to calculate a confidence interval for p . (Use the n ˆ p 15 , n (1 - ˆ p ) 15 guideline.) (a) ˆ p = 0 . 70 , n = 10 . (b) ˆ p = 0 . 70 , n = 200 . (c) ˆ p = 0 . 99 , n = 200 . 1 Best n is large Das worst nis small p close to 0 or 1 Nevercan only do CI for parameters up to 0.7 7 nil p roll on 3 not both is so donot use normal approx
(d) ˆ p = 0 . 01 , n = 10,000. (e) ˆ p = 0 , n = 200 . 6. A study 1 of births in Liverpool, UK, investigated a possible relationship between parental smoking status during pregnancy and the likelihood of a male birth. In one part of the study, researchers drew a sample of 363 births in which both parents were heavy smokers during the pregnancy. Of the 363 babies born to these couples, 158 were male. Suppose we wish to construct a 95% confidence interval for the population proportion of male births to heavy-smoking parents in Liverpool. (a) What does p represent in this case? (b) What is the point estimate of p ? (c) Is it reasonable to use large sample methods to calculate a confidence interval for p here? (d) What is the standard error of the sample proportion? (e) What is a 95% confidence interval for p ? (f) Give an interpretation of the 95% confidence interval for p . (g) Test the null hypothesis that the population proportion of male births to heavy-smoking parents is 0.50, against a two sided alternative. Give appropriate hypotheses, standard error, value of the test statistic, p -value, and conclusion at = 0 . 05 . (h) To what population do your conclusions apply? 4 Determining the Minimum Sample Size n 7. Find the minimum sample size required in each of the following situations. (a) We wish to estimate p within 0.03 with 95% confidence, and we have no reasonable estimate of p beforehand. (b) We wish to estimate p within 0.03 with 95% confidence, and from prior information we feel strongly that p is approximately 0.20. (c) We wish to estimate p within 0.01 with 90% confidence, and we have no reasonable estimate of p beforehand. (d) We wish to estimate p within 0.01 with 99% confidence, and we have no reasonable estimate of p beforehand. (e) We wish to estimate p within 0.01 with 99% confidence, and we know for certain that p lies between 0.1 and 0.2. 5 Inference Procedures for the Di ff erence Between Two Pop- ulation Proportions 5.1 The Sampling Distribution of ˆ p 1 - ˆ p 2 5.2 Confidence Intervals and Hypothesis Tests for p 1 - p 2 8. In words, what is the meaning of SE p 1 - ˆ p 2 ) ? 9. A random sample of 400 observations from population 1 revealed that 82 individuals had a certain characteristic. A random sample of 400 observations from population 2 revealed that 104 individuals had that characteristic. 1 Koshy et al. (2010). Parental smoking and increased likelihood of female births. Annals of Human Biology , 37(6):789–800. np o so 100000000 g 178 Effort gg male births to smokers in Liverpool in time frame or study tassen s on t's Ho p as Ha p prove normal 2.48111 2 I I I
(a) What are the values of ˆ p 1 and ˆ p 2 ? (b) What is SE p 1 - ˆ p 2 ) ? (c) Calculate a 95% confidence interval for p 1 - p 2 . (d) Test the null hypothesis that the population proportions are equal, against a two-sided alter- native hypothesis. Give appropriate hypotheses, value of the pooled proportion ˆ p , value of the standard error, test statistic and p -value. Is there significant evidence against the null hypothesis at = 0 . 05 ? 10. Much research has gone into studying how homing pigeons are able to navigate to their home loft from an unfamiliar release point, but the precise mechanisms are still unknown. It is known that homing pigeons can detect the earth’s magnetic field, and that is likely a contributing factor in their ability to navigate. A study 2 investigated this in an experiment involving 77 homing pigeons. The pigeons were randomly divided into a magnetic pulse group (group M) and a control group (group C). The 38 control group pigeons were released at a location 106 km from the home loft, and 22 found their way home. The 39 members of the magnetic pulse group received a strong magnetic pulse (perpendicular to the earth’s magnetic field) before being released from the same location. Twenty-one of the 39 magnetic pulse group pigeons made it back to the home loft. (a) Calculate a 95% confidence interval for the di ff erence between the population proportion of pigeons that navigate home after being subjected to the magnetic pulse, and the population proportion for the control group. (Hint to ease the calculation burden: SE p M - ˆ p C ) = 0 . 1131 .) (b) Give an appropriate interpretation of the interval found in 10a . (c) Perform a hypothesis test of the null hypothesis that the two groups have the same likeli- hood of making it back to their home loft. Give appropriate hypotheses, value of the test statistic, p -value, and conclusion. (One could make an argument for the one-sided alterna- tive hypothesis that the magnetic pulse reduces the probability of a pigeon arriving home, but play it safe and use a two-sided alternative hypothesis.) (Hint to ease the calculation burden: SE 0 p M - ˆ p C ) = 0 . 1132 .) 6 Chapter Exercises 6.1 Basic Calculations 11. Calculate the p -value in the following situations. (a) H 0 : p = 0 . 3 , H a : p > 0 . 3 , Z = - 1 . 40 . (b) H 0 : p = 0 . 3 , H a : p < 0 . 3 , Z = - 1 . 40 . (c) H 0 : p = 0 . 3 , H a : p 6 = 0 . 3 , Z = - 1 . 40 . (d) H 0 : p = 0 . 6 , H a : p < 0 . 6 , Z = - 1 . 88 . (e) H 0 : p = 0 . 6 , H a : p 6 = 0 . 6 , Z = - 1 . 88 . 6.2 Concepts 12. What is the di ff erence in meaning of the symbols ˆ p and p ? 13. Would it ever make sense to test H 0 : ˆ p = 0 . 25 ? 14. What is the meaning of the term SE p ) ? Does the term SE ( p ) have a similar meaning? 2 Holland et al. (2013). A magnetic pulse does not a ff ect homing pigeon navigation: a gps tracking experiment. The Journal of Experimental Biology , 216:2192–2200. Pc 22138 0 s.IE.IE iEiiE i ii ii iii iii iii iii iiiiiii.fi no evidence be small prime iii iii iii p.si proportion p the portion for entire population ly Nowe test hypothesis about parameters not statistics estima
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15. In each of the following scenarios, state whether using the normal approximation to carry out a hypothesis test is reasonable. (Use the np 0 15 , n (1 - p 0 ) 15 guideline.) (a) H 0 : p = 0 . 20 , n = 10 . (b) H 0 : p = 0 . 20 , n = 200 . (c) H 0 : p = 0 . 9980 , n = 10 . (d) H 0 : p = 0 . 9980 , n = 1,000. (e) H 0 : p = 0 . 9980 , n = 100,000. 16. An Ipsos-Reid poll asked Canadians whether schools in their community have become “less safe” than they were five years ago. Fifty percent of the respondents said schools were less safe than 5 years ago. The corresponding confidence interval for p was found to be (0 . 46 , 0 . 54) . There are some potential sources of bias in surveys like this one. For example, the question could be biased (e.g. “With the increase in violent behaviour, schools have become less safe, wouldn’t you agree?”) The folks at Ipsos are professionals, and wouldn’t give questions this blatantly biased. But if our hope is to estimate the proportion of all Canadians who feel that schools have becomes less safe, what are some other potential sources of bias? 17. Test your conceptual understanding: Which of the following statements are true? You should be able to explain why a statement is true or why a statement is false. (a) ˆ p is an unbiased estimator of p . (b) When n < 30 we should use the t distribution when calculating confidence intervals for p . (c) The true distribution of ˆ p is based on the binomial distribution. (d) The true standard deviation of the sampling distribution of ˆ p depends on the value of p . (e) The sampling distribution of ˆ p is perfectly normal for large sample sizes. 18. Test your conceptual understanding: Which of the following statements are true? You should be able to explain why a statement is true or why a statement is false. (a) The normal approximation to the sampling distribution of ˆ p works best when we have a large sample size and p = 0 . 5 . (b) The sampling distribution of ˆ p becomes more normal as p tends to 1. (c) The sampling distribution of p is approximately normal for large sample sizes. (d) All else being equal, the value of SE p ) decreases as the sample size increases. (e) In repeated sampling, exactly 95% of 95% confidence intervals for p will capture p . 6.3 Applications 19. Consider again the information in Question 10 . In part of the experiment, 38 control group pigeons were released from an unfamiliar site 106 km from their home loft, and 22 of these pigeons were able to successfully navigate home. Suppose we wish to construct a confidence interval for the true proportion of control group pigeons that will find their way to their home loft (under the conditions of the study). (a) What does p represent in this case? (b) What is the point estimate of p ? (c) Is it reasonable to use large sample methods to calculate a confidence interval for p here? (d) What is the standard error of the sample proportion? (e) What is a 95% confidence interval for p ? phone accessibility doesnt incural to that mug up a III onus T sine Eli P p m binomial diff f ftp.npfd P F itsan approximation me proportion ofthis type of pigeon under these conditions F 2238 0.5789 22 is so yes SE E as.IE I i 0.42 o.nu
(f) Give a proper interpretation of the 95% confidence interval. (g) Suppose that, before the study was conducted, a scientist claimed that the true proportion of control group pigeons that would navigate back to their home loft would be no more than 0.25. Does this study yield strong evidence against this scientist’s claim? Test the null hypothesis that the population proportion is 0.25, against the appropriate alternative hypothesis. Give appropriate hypotheses, standard error, value of the test statistic, p -value, and conclusion. 20. Seat belt marks (bruising) on the body are sometimes used as evidence that a person was wearing a seat belt during a car crash. A study 3 investigated seat belt marks in victims of fatal car crashes in Sydney, Australia. (The authors looked only at cases where there was no airbag deployment.) In 74 fatalities in which the victim was wearing a seat belt, 27 victims showed seat belt marks. (a) What does p represent in this case? (b) What is the point estimate of p ? (c) Is it reasonable to use large sample methods to calculate a confidence interval for p here? (d) What is the standard error of the sample proportion? (e) What is a 95% confidence interval for p ? (f) Give an appropriate interpretation of the confidence interval for p . (g) Is there a hypothesis that should be tested here? 21. A study 4 investigated various characteristics of Finnish murders. In one part of the study, a random sample of 91 Finnish male convicted murderers was drawn (there was a single murder in each case). Twenty-four of these 91 murders were of the o ff ender’s domestic partner. Suppose we wish to esti- mate the true proportion of murders that are of the domestic partner of the o ff ender (for murders committed by males). (a) What does p represent in this case? (b) What is the point estimate of p ? (c) Is it reasonable to use large sample methods to calculate a confidence interval for p here? (d) What is the standard error of the sample proportion? (e) What is a 95% confidence interval for p ? (f) Give an interpretation of the 95% confidence interval for p . (g) Suppose it was previously believed that in 40% of murders committed by a Finnish male, the victim was the o ff ender’s domestic partner. Test the null hypothesis that the population proportion is 0.40, against a two sided alternative. Give appropriate hypotheses, standard error, value of the test statistic, p -value, and conclusion at = 0 . 05 . (h) To what population do the conclusions apply? 22. In another aspect of the study of Finnish murders first discussed in Question 21 , researchers drew random samples of murders committed by males and murders committed by females. Of 91 murders committed by a female, in 32 cases the victim was their domestic partner. Of 91 murders committed by a male, in 24 cases the victim was their domestic partner. (a) Calculate a 90% confidence interval for the di ff erence in the population proportions between female and male murderers. (Hint to ease the calculation burden: SE p F - ˆ p M ) = 0 . 0681 .) (b) Give an appropriate interpretation of the interval found in 22a . 3 Chase et al. (2007). Safety restraint injuries in fatal motor vehicle collisions. Forensic Science, Medicine, and Pathology , 3:258–263. 4 Häkkänen et al. (2009). Gender di ff erences in Finnish homicide o ff ence characteristics. Forensic Science International , 186:75–80 joiiiiitwou.tt navigate back lies between 0.42o.nu
(c) Perform a hypothesis test of the null hypothesis that, in Finnish murders, the proportion of victims that are the domestic partner of the o ff ender is the same for male and female o ff enders, against the alternative that these proportions are di ff erent. Give appropriate hypotheses, value of the test statistic, p -value, and conclusion at the 5% level of significance. (Hint to ease the calculation burden: SE 0 p F - ˆ p M ) = 0 . 0684 .) 23. A study 5 at a medical clinic in Iran investigated a possible association between peptic ulcers and a variety of factors. The study involved a sample of 60 peptic ulcer su ff erers from a medical clinic, and a sample of 44 apparently healthy volunteers to serve as the control group. In one part of the study, the authors investigated a possible di ff erence between the groups in their Lewis B (Le b ) blood group antigen expression. (Previous studies had shown a possible relationship between Le b expression and a mechanism for peptic ulcers.) Forty-three of the 60 peptic ulcer su ff erers had Le b expression. Twenty-seven of the 44 control group members had Le b expression. (a) Calculate a 95% confidence interval for the di ff erence in the population proportions between peptic ulcer patients and the control group. (Hint to ease the calculation burden: SE p U - ˆ p C ) = 0 . 0937 .) (b) Give an appropriate interpretation of the interval found in 23a . (c) Perform a hypothesis test of the null hypothesis that the proportion of individuals with Le b expression is the same for the two groups, against the alternative hypothesis that the proportions are di ff erent. Give appropriate hypotheses, value of the test statistic, p -value, and conclusion at the 5% level of significance. (Hint to ease the calculation burden: SE 0 p U - ˆ p C ) = 0 . 0931 .) 24. Consider again the study first discussed in Question 6 , which investigated a possible relationship between parental smoking status during pregnancy and the likelihood of a male birth. Of 363 births in which both parents were heavy smokers during the pregnancy, 158 of the babies were male. Of the 5045 births in which both parents were non-smokers during the pregnancy, 2685 of the babies were male. (a) Calculate a 95% confidence interval for the di ff erence between the population proportion of male births for heavy-smoking parents, and the population proportion of male births for non-smoking parents. (Hint to ease the calculation burden: SE p H - ˆ p N ) = 0 . 0270 .) (b) Give an appropriate interpretation of the interval found in 24a . (c) Perform a hypothesis test of the null hypothesis that the male birth rate is the same for both heavy-smoking and non-smoking parents. Give appropriate hypotheses, value of the test statis- tic, p -value, and conclusion at the 5% level of significance. (Hint to ease the calculation burden: SE 0 p H - ˆ p N ) = 0 . 0271 .) (d) To what population do your conclusions apply? Do the results of this study imply strong evidence that parents smoking cause a decrease in the proportion of male births? 25. Does a pleasant ambient fragrance increase the success rate of a courtship request? A study 6 in- vestigated this question by having a good-looking 20 year-old man approach 18-25 year-old women walking alone in a mall. On 200 occasions, the man approached as the woman was walking in an area of “pleasant ambient odours (e.g., pastries)”, and on 200 occasions he approached in an area of no odour. In every case, the man approached the woman, made a brief scripted statement including a compliment, and then asked for the woman’s phone number. Of the 200 cases in areas of pleasant ambient odour, 46 women gave their phone number. Of the 200 cases in areas of no ambient odour, 27 women gave their phone number. 5 Mahdavi et al. (2013). Is there any relationship between leb antigen expression and Helicobacter pylori infection? Blood Cells, Molecules and Diseases , 51:174–176. 6 Guéguen et al. (2012). The sweet smell of. courtship: E ff ects of pleasant ambient fragrance on womenÕs receptivity to a manÕs courtship request. Journal of Environmental Psychology , 32:123–125 I 461200 0.23 PI 27 200 0.0135
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(a) Calculate a 95% confidence interval for the di ff erence between the success rate in areas with a pleasant fragrance and the success rate in areas with no odour ( p F - p C ) . (Hint to ease the calculation burden: SE p F - ˆ p C ) = 0 . 0383 .) (b) Give an appropriate interpretation of the interval found in 25a . (c) Perform a hypothesis test of the null hypothesis that the likelihood of getting a phone num- ber is the same in both areas. Give appropriate hypotheses, value of the test statistic, p - value, and conclusion at the 5% level of significance. (Hint to ease the calculation burden: SE 0 p F - ˆ p C ) = 0 . 0386 .) 26. Part of the Salk polio vaccine trials in 1954 involved a massive double blind randomized experiment, in which approximately 400,000 elementary school children were randomly assigned to either the Salk polio vaccine or a placebo group. The results: Placebo Vaccine Polio 160 86 No polio 200270 199661 Total 200430 199747 (The counts have been slightly modified from the original data.) (a) Let p p represent the population proportion of those in the placebo group that would develop polio under these conditions, and p v represent the population proportion of those in the vaccine group that would develop polio under these conditions. What is the point estimate of the di ff erence in the population proportions? (What is the point estimate of p p - p v ?) (b) If we wish to test the null hypothesis that the population proportions are equal, what is the value of the appropriate Z test statistic? (Hint to ease the calculation burden: SE 0 p p - ˆ p v ) = 0 . 00007836327 .) (c) What is the p -value of the test of the null hypothesis of equal population proportions against a two-sided alternative hypothesis? (d) Give a summary of the results of the hypothesis test. (e) Since polio is a rare disease, the di ff erence in population proportions may not be the best way of comparing the two proportions. In many situations, especially with rare events, the relative risk is the more informative quantity. In this case the relative risk would be the ratio of the estimated probabilities of developing polio. That is, RR = ˆ p placebo ˆ p vaccine . If we have a relative risk of 3, say, then that means individuals given the placebo would be 3 times more likely to develop polio. In many cases this is a better and more intuitive measure of the di ff erence between proportions. What is the relative risk of developing polio? 6.4 Extra Practice Questions 27. The median lethal dose (often called LD50 (lethal dose, 50%) or LC50 (lethal concentration, 50%)), is often reported in toxicology studies. It is the dose that results in 50% mortality within a specified time period. Suppose you are investigating the e ff ect of zinc concentration on the mortality of a certain type of freshwater minnow. As part of this study, you subject 100 of these minnows to a zinc concentration of 5 ppm. Within 48 hours, 68 of the minnows are dead. (a) Construct a 95% confidence interval for the true proportion of this type of minnow that would be dead within 48 hours if exposed to 5 ppm of zinc. (b) Based on this interval, is there a strong indication that the 48 hour LD50 is di ff erent from 5 ppm? entirintenlliestoth.nu sF 9EtmI19I FIii I i iii.it it as.sn cinysignimntitan fi fi ii I Pp 2'88 0 it 19 6 0.000798 0.00043 0.000798 0.0004 0.0003677 2 id
(c) Carry out a hypothesis test of the null hypothesis that 5 ppm of zinc will kill 50% of this type of minnow within 48 hours, against a two-sided alternative hypothesis. Give appropriate hypotheses, standard error, test statistic, p -value, and conclusion at = 0 . 05 . (d) Suppose in a di ff erent experiment, with a di ff erent type of minnow, we wished to estimate the proportion that would be dead in 48 hours to within 0.03, with 99% confidence. What is the minimum sample size that would be required? (Suppose that we have no reasonable estimate of the true proportion before the study, and thus we must use the conservative estimate of p in the formula.) (e) Suppose that in another part of this study, after exposure to a high level of zinc, 198 of 200 minnows are dead within 48 hours. Would it be reasonable to use the normal approximation to construct a confidence interval for p in this scenario? 28. Suppose it was previously believed that in a certain geographical area, approximately 50% of babies born prematurely at 25 weeks did not survive until at least their first birthday. You investigate this claim and find data on 67 babies born at 25 weeks. 43 of these babies survived until they were one year old. Suppose it is reasonable to assume that your data represents a random sample of births from that area at that time. (a) Construct a 95% confidence interval for the proportion of babies born at 25 weeks that survive until they are at least one year old. Give an appropriate interpretation of the interval. (b) Test the null hypothesis that half of babies born at 25 weeks die, against a two-sided alternative hypothesis. Give appropriate hypotheses, test statistic, p -value, and conclusion. 29. A random sample of 40 soft-serve ice cream vendors in a large city revealed that 17 of them had E. coli counts in excess of recommended guidelines. Calculate a 95% confidence interval for the population proportion, and give a proper interpretation of the interval. 30. The 2006 Canadian census revealed that approximately 23% of Canadians between 25 and 64 years of age have a university degree. In a certain area at that time, a random sample of 500 adults in this age group revealed that 25 had a university degree. (a) Construct a 90% confidence interval for the proportion of people between 25 and 64 in this area at that time that had a university degree. (b) Test whether the proportion of people between 25 and 64 in this area with a university degree di ff ered from the rest of Canada. Give appropriate hypotheses, test statistic, p -value, and conclusion. 31. You are interested in using a marketing campaign to sell new cars to recent university graduates. Before starting the campaign, you would like to have some idea of the proportion of graduating students who intend to buy a new car in the next year. If you wish to estimate this proportion to within 0.04 with 90% confidence, what is the minimum sample size that is required? Assume that you do not have a good estimate of the proportion before taking the sample, and thus you need to use the most conservative estimate of the sample size required. 32. Pollsters were interested in possible di ff erences between men and women in their presidential approval ratings. 100 men and 100 women were asked if they approved of the way the president was handling his job. 58 of the women and 43 of the men said they approved. (a) Calculate a 90% confidence interval for the di ff erence in the population proportions between females and males. (Hint to ease the calculation burden: SE p F - ˆ p M ) = 0 . 0699 .) (b) Give an appropriate interpretation of the interval found in 32a .
(c) Perform a hypothesis test of the null hypothesis that the approval ratings for men and women are the same, against the alternative that they are di ff erent. Give appropriate hypotheses, value of the test statistic, p -value, and a conclusion at the 5% level of significance. (Hint to ease the calculation burden: SE 0 p F - ˆ p M ) = 0 . 070707 .) 33. A company is testing a new heat treatment intended to eradicate bedbugs. As part of the investi- gation process, they wish to assess what e ff ect di ff erent temperatures have on killing bedbugs. They subject 200 adult bedbugs to a temperature of 45 degrees Celsius for 30 minutes, and find that 176 died. They subject 200 di ff erent adult bedbugs to a temperature of 47 degrees Celsius for 30 minutes, and find that 184 died. (a) What is a 95% confidence interval for the di ff erence in population proportions? Also give an appropriate interpretation of the interval. (Hint to ease the calculation burden: SE p 1 - ˆ p 2 ) = 0 . 02993 .) (b) Suppose we wish to test the null hypothesis that the population proportions are equal, against the alternative that the higher temperature kills a higher proportion of bedbugs. Give appropri- ate hypotheses in words and symbols, standard error, value of the test statistic, and conclusion at a = 0 . 01 significance level. (Hint to ease the calculation burden: SE 0 p 1 - ˆ p 2 ) = 0 . 030 .) References Chase et al. (2007). Safety restraint injuries in fatal motor vehicle collisions. Forensic Science, Medicine, and Pathology , 3:258–263. Guéguen et al. (2012). The sweet smell of. courtship: E ff ects of pleasant ambient fragrance on womenÕs receptivity to a manÕs courtship request. Journal of Environmental Psychology , 32:123–125. Häkkänen et al. (2009). Gender di ff erences in Finnish homicide o ff ence characteristics. Forensic Science International , 186:75–80. Holland et al. (2013). A magnetic pulse does not a ff ect homing pigeon navigation: a gps tracking experi- ment. The Journal of Experimental Biology , 216:2192–2200. Koshy et al. (2010). Parental smoking and increased likelihood of female births. Annals of Human Biology , 37(6):789–800. Mahdavi et al. (2013). Is there any relationship between leb antigen expression and Helicobacter pylori infection? Blood Cells, Molecules and Diseases , 51:174–176.
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