uestion:

Breast cancer is the most common malignancy in women worldwide. Tea has anticarcinogenic effects against breast cancer in laboratory studies. However, epidemiologic evidence that tea protects against breast cancer has been inconsistent. A study was conducted in Southeast Chinabetween 2004 and 2005. The cases were 1009 female patients aged 20-87 years with histologically confirmed breast cancer. The 1009 age-matched controls were healthy women randomly recruited from breastdisease clinics. Information on duration, frequency, quantity, preparation, type of teaconsumption, diet and lifestyle were collected by face-to-face interview using a validated and reliable questionnaire. Conditional logistic regression analyses were used to estimate odds ratios (ORs) and associated 95% confidence intervals. Compared with non-tea drinkers, green teadrinkers tended to reside in urban areas, have better education and have higher consumption of coffee, alcohol, soy, vegetables and fruits. After adjusting established and potential confounders, greentea consumption was associated with a reduced odds of breast cancer. The ORs were 0.87 (0.73-1.04) in women consuming 1-249 g of dried green tea leaves per annum, 0.68 (0.54-0.86) for 250-499 g per annum, 0.59 (0.45-0.77) for 500-749 g per annum and 0.61 (0.48-0.78) for >or=750 g per annum, with a statistically significant test for trend (P

As a public health professional, would you recommend women in the US begin to drink green tea as a preventative measure for breast cancer based on the results of this study?

Group of answer choices

A and B

With caution, the study took place in Southeast China and the results may not be generalizable to US women.

Yes, all women should drink green tea for the prevention of breast cancer.

No, green tea has been identified as a risk factor for a number of conditions, and women at risk for these conditions should not drink green tea.

minutes to complete this quiz. It is op Question 11 The chi-square is a C Bivariate hypothesis test Univariate hypothesis test CMultinomial hypothesis test C Binomial hypothesis test PreviousBased on the graph depicting the relationship between two variables, you would conclude the 10 .. ... variable 2 4 ... ... N O a b C variable 1 ()A. independent variable: discreteominal; relationship best tested with univariate test (e.g. analysis of variance) ). independent variable: continuous; relationship best tested with bivariate test (e.g. linear regression) " dependent variable: discreteominal; relationship best tested with contingency test (e.g. chi-square) dependent variable: continuous; relationship best tested with bivariate test (e.g. linear regression)Provide an interesting example that would benefit from multivariate process control. (give some detail so that we can understand the quality characteristics that you are measuring) Discussion about MPC. . How may applying several uni-variate control charts simultaneously to a set of related characteristics be unsatisfactory for monitoring? . Describe briefly how a multivariate normal distribution is used as a model for multivariate process data. Hotelling Chi Squared Control Charts . What are the two disadvantages of plotting the control ellipse? . What is the advantage of using the chi-square control chart?Question 25 Simple Regression analysis and Mumvariate Regression Analysis me raised to each other in ihn following way; @) Both techniques use a goodness of fit musmire, but the goodness of fit meamie in Muhivanale Regression adjusts Nu the fact that an coun miinhis aduspammin Ingphompants Simple Regression is simpler than Multivariate Regression because the dependent variable is aways a straight line function of the independent sunable un a graph Multivariate regression always proves causation, but simple regression can never prove causation Both simple and multiple regression face the problem of multicollinearity