43. In the Linear Hypothesis for fatal cancers due to radiation exposure, what is the population dose required to induce 1 fatal cancer? Do it Group of answer choices 0.1 REM 1 REM 20 REM 300 REM 2500 REM
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43. In the Linear Hypothesis for fatal cancers due to radiation exposure, what is the population dose required to induce 1 fatal cancer? Do it
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- 3. In the Linear Hypothesis for fatal cancers due to radiation exposure, what is the population dose required to induce 1 fatal cancer?Group of answer choices0.1 REM1 REM20 REM300 REM2500 REMIf the risk of a particular type of cancer is expressed as 32 excess fatalities per 10,000 per Sv, how many excess fatalities would we expect in a poppulation of 3,000 exposed to 400mSv?A study of smoking and lung cancer was conducted in a small island population. There were a total of 1,000 people in the study, and the study participants were followed over a ten year period. Four hundred were smokers and 600 were not. Of the smokers, fifty developed lung cancer. Of the non-smokers, 10 developed lung cancer. Calculate the relevant measure of association, interpret and make a conclusion. Compute Attributable Risk and interpret . Describe the difference between incidence rate and the prevalence rate.
- he first involved an assessment of the relationship between cigarette smoking and incidence of lung cancer. For cigarette smokers, the lung cancer incidence rate was Ie = 200 per 100,000. For nonsmokers, the lung cancer incidence rate was Io = 25 per 100,000. The lung cancer incidence rate in the entire population was It = 100 per 100,000. The second study involved an assessment of the relationship between cigarette smoking and incidence of coronary heart disease. For cigarette smokers, the coronary heart disease incidence rate was Ie = 500 per 100,000. For nonsmokers, it was Io = 250 per 100,000. In the overall population, the coronary heart disease rate was It = 300. 1. What is relative risk the of developing lung cancer in the first study and of developing coronary heart disease in the second study? Interpret. 2. From the data involving cigarette smoking and lung cancer incidence, what are the attributable risk and the attributable-risk percent? Interpret the result. 3. From the…Part I. A. Examine the gene pool of this population (Column A) and then choose the answer for the following questions from the box in Column B. show computation (3pts each) 10% 30% 40% 50% 60% 70% 1. What is the frequency of the AA genotype in this population? 2. What is the frequency of Aa genotype in this population? 3. What is the frequency of the aa genoty pe in this population? 4. What is the frequency of the A allele in this population? 5. What is the frequency of the a allele in this population?2:11 ← AP_5069_L04_DiffusionAndOsmosis (1).docx A If you've got a name, you've got a logo. Adobe Students save over 60% on Adobe Creative Cloud. Learn more JB BATES PAGE 5/... A Post-Lab Questions 1. Why is it necessary to have positive and negative controls in this experiment? ON 5G 2. Draw a diagram of the experimental setup. Use arrows to depict the movement of each substance in the dialysis bag and the beaker. Which substance(s) crossed the dialysis membrane? Support your response with data- based evidence. ra
- Part 3 Perform a chi-square analysis using the given data and the chi-square table of values and probability below. Degrees of freedom 1 2 3 4 5 p = 0.99 0.000157 0.020 0.115 0.297 Part 4 0.554 Between 0.05 and 0.2 Between 0.01 and 0.05 Between 0.5 and 0.8 O Between 0.2 and 0.5 0.95 0.00393 0.103 0.352 0.711 1.145 0.80 What is the p-value from your chi-square analysis? 0.0642 0.446 1.005 1.649 2.343 0.50 0.455 1.386 0.20 3.357 0.05 1.642 3.841 3.219 5.991 0.01 6.635 2.366 4.642 7.815 5.989 9.488 4.351 7.289 11.070 15.086 No, the difference between observed and expected is likely not due to chance. Yes, the difference between observed and expected is likely due to chance. No, the difference between observed and expected is likely due to chance. Yes, the difference between observed and expected is likely not due to chance. 9.210 11.345 13.277 Assume your null hypothesis was that observed and expected are not different from each other. Can you reject the null hypothesis?In a study, where the causal relationship between alcohol drinking and colon cancer was studied, there were 2000 people who consume alcohol and there were 2000 people who do not consume alcohol. These populations were followed up for 10 years and after the following period there were 280 people who had colon cancer in alcohol drinker group, compared with 100 people having colon cancer in the non-drinker group. (e) Interpret your finding in the question What was the relative risk of having colon cancer risk in alcohol drinkers (what does the relative risk you found out)? explain in great detailBelow is a pedigree for a family into which Individual III-4 has married. He and his spouse, Individual III-3, are visiting a genetic counselor because they are expecting a baby (Individual IV-1). They want to know the chance that the baby will get the autosomal recessive genetic disease seen in Individual II-2. Overall, in the population, the disease is known to affect 1 in 625 individuals in the population to which this family belongs [assume this frequency is the result of random mating so represents f(aa)] I. II. E III. IV. 1 1 2 2 3 1 3 1 4 2 4 5
- After accounting for possible bias in data collection in the study described above (Question 9), the following 2x2 table assessing exposure and disease was created: In utero exposure to radiation Yes No Cases Controls 12 26 6 632 Calculate the appropriate measure of effect. Interpret your results (Ctrl)-Which of the following actions is NOT performed during the risk characterization phase of a risk assessment? O A. summarize risk information for public and policy holders B. communicate estimates of adverse health effects with non-cancer hazard quotients O c. identify the hazard and exposed populations O D. evaluate uncertainty O E. communicate estimates of cancer risksInvestigators selected women with breast cancer from the national cancer registry and an age-matched sample of women without breast cancer from the national managed care patient database. Information regarding childbirth was collected from linked vital statistics data. The main research question was whether childbirth after age 35 is a risk factor for breast cancer. What type of study design is it? Randomized controlled trial Ecologic study Quasi experimental study Cohort study Case-control study