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381 Pages

BST611Notes

Course: SOPH 611, Fall 2008
School: UAB
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Word Count: 76340

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1. Introduction Section and Overview What are statistics? What is the practice of statistics? These are two different questions! Statistics are just numbers but the practice of statistics involves measuring variability of numbers to interpret results. Statistics can be used to analyze data after an experiment has been carried out but can also be used to make suggestions for how experiments can be designed to...

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UAB - SOPH - 611
BST 611 (Beasley) Homework 1 (150 points) 1. Compute the Mean, Variance, and Standard Deviation, Quartiles, and SIQR for Y and X. Y X (20 points) 112 35 110 32 PLEASE SHOW YOUR WORK! 104 30 98 33 98 31 Note: Y and X are NOT in Rank Order. 90 32 92 34
UAB - SOPH - 611
BST 611 (Beasley) Homework 1 (150 points) 1. Compute the Mean, Variance, and Standard Deviation, Quartiles, and SIQR for Y and X. Y X (20 points) 112 35 110 32 PLEASE SHOW YOUR WORK! 104 30 98 33 98 31 Note: Y and X are NOT in Rank Order. 90 32 92 34
UAB - SOPH - 611
A 51.0 61.1 28.0 48.4 31.0 35.1 29.0 53.5 34.2 47.5 32.0 64.2 34.7 38.0 39.3 43.0 55.7 46.0 37.2 70.1 62.4 47.1 48.0 53.3 53.4 53.8 56.0 41.0 63.3 36.4 33.0 57.6 42.3 57.0 39.9 59.2 62.9 65.3 35.6 47.8 47.3 53.2 58.1 67.1 57.3 69.0 21.0 22.0B 45.0
UAB - SOPH - 611
BST 611 (Beasley) Homework 2 (100 points) Use the following Sample Data for Questions 1 5. Male Female Honda 60 70 Toyota 58 46 Nissan 84 56 Mazda 46 26 Mitsubishi 32 241. What is the Marginal Probability of randomly selecting a female from this s
UAB - SOPH - 611
BST 611 (Beasley) Homework 2 (100 points) Use the following Sample Data for Questions 1 5. Male Female Honda 60 70 Toyota 58 46 Nissan 84 56 Mazda 46 26 Mitsubishi 32 241. What is the Marginal Probability of randomly selecting a female from this s
UAB - SOPH - 611
Roll1 1 2 1 3 2 1 4 3 2 1 5 4 3 2 1 6 5 4 3 2 1 6 5 4 3 2 6 5 4 3 6 5 4 6 5 6Roll2 1 1 2 1 2 3 1 2 3 4 1 2 3 4 5 1 2 3 4 5 6 2 3 4 5 6 3 4 5 6 4 5 6 5 6 6Sum 2 3 3 4 4 4 5 5 5 5 6 6 6 6 6 7 7 7 7 7 7 8 8 8 8 8 9 9 9 9 10 10 10 11 11 12Mean 1 1.
UAB - SOPH - 611
BST 611 (Beasley) Homework 3 (200 points) 1. Frattola et al. (2000, Hypertension, 36, 622-628) investigated treatment of Blood Pressure among Diabetics. In a replication, suppose researchers randomly assigned nC = 35 patients to a control condition g
UAB - SOPH - 611
BST 611 (Beasley) Homework 3 (200 points) 1. Frattola et al. (2000, Hypertension, 36, 622-628) investigated treatment of Blood Pressure among Diabetics. In a replication, suppose researchers randomly assigned nC = 35 patients to a control condition g
UAB - SOPH - 611
SBP 127 137 139 169 149 143 151 144 143 145 166 152 167 154 127 123 154 143 145 135 159 140 161 111 140 136 123 143 125 141 120 153DBP 62 71 70 80 64 63 74 84 72 72 79 70 90 72 65 56 68 80 79 74 79 67 89 61 72 79 65 71 71 67 66 83 58 57 62group 0
UAB - SOPH - 611
group 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1quit 1 0 1 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 1 0 0 0 1 0 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 1 1 0 1 0itt 1 0 1 0 1 0 1 0 0 1 0 0 1 0 0
UAB - SOPH - 611
IDBMIPRE BMIPOST BMIDIFF RMRPRE RMRPOSTRMRDIFF 1 26.41 26.56 -0.15 1304.11 1312.32 -8.21 2 26.95 1400.23 3 27.56 1395.34 4 29.26 1329.73 5 30.18 32.04 -1.87 1666.05 1412.01 254.04 6 30.78 1578.79 7 31.27 1397.53 8 31.83 34.77 -2.93 1352.84 1465.71
UAB - SOPH - 611
BST 611 (Beasley) Homework 4 (100 points)1Bivariate data with a Dichotomous variable Based on Hommes et al. (1991), a researcher investigated whether resting energy expenditure (REE) is increased in the early asymptomatic stage of HIV infection.
UAB - SOPH - 611
BST 611 (Beasley) Homework 4 (100 points)1Bivariate data with a Dichotomous variable Based on Hommes et al. (1991), a researcher investigated whether resting energy expenditure (REE) is increased in the early asymptomatic stage of HIV infection.
UAB - SOPH - 611
X 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1REEgroup 7589 Con 8457 Con 5270 Con 8322 Con 7689 Con 7853 Con 7416 Con 7123 Con 4160 Con 7558 Con 7253 Con 7768 Con 7655 Con 7530 Con 4290 Con 9298 Con 6538 Con 732
UAB - SOPH - 611
1BST 611 BeasleyFinal 200 Points1. If a researcher sets = .05 and then based on the sample data calculates a test statistic which results in a p-value of p = .04, will the null hypothesis be rejected or not rejected? Explain your response brie
UAB - SOPH - 611
1BST 611 Beasley PointsFinal 2001. If a researcher sets = .05 and then based on the sample data calculates a test statistic which results in a p-value of p = .04, will the null hypothesis be rejected or not rejected? Explain your response brie
UAB - SOPH - 611
tvtime 1.5 1.5 3.5 1.5 0.5 0 1.5 3 0 2 2.5 2 3.5 2 7 4 3 2aggress 21 15 36 27 19 25 22 30 23 26 33 20 29 24 30 40 26 18letter 16 15 10 7 10 11 11 12 8 12 14 17 11 15 11 9 22 24
UAB - SOPH - 611
gender Male Male Male Male Male Male Female Female Male Female Female Male Female Male Female Male Male Male Male Male Female Male Male Female Female Female Male Female Female Male Female Male Female Male Malemarstat Married Single Married Single M
UAB - SOPH - 611
age 9.12 9.92 9.52 9.27 9.64 9.64 9.85 9.07 9.41 9.57 9.84 9.19 9.24 12.19 12.99 13.27 14.67 15.67 15.6 16.93 19.84 20.95 22.54 23.87 25.71 26.38 25.48 27.01 28.19 23.58fsh 0.31 1.15 0.62 1.24 0.81 1.2 1.26 1.77 2.09 2.08 1.08 1.48 2.16 2.54 1.62 0
UAB - SOPH - 611
cond 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 20 20 20 20 20 20 20 20 20 20 20CT 64.47 64.31 64.67 62.62 64.34 63.61 64.41 63.05 63.72 63.27 64.29 64.66 65.32 63.22 63.66 64.08 63.22 64.83
UAB - SOPH - 611
Page 1True / False Questions 1) _ The independent-samples t-test cannot be used when samples differ in size. 2) _ Assuming the null hypothesis (H0: 1= 2), the single most frequently occurring value in the sampling distribution of mean difference is
UAB - SOPH - 621
Biostatistics 621: Statistical Methods IInstructor: T. Mark Beasley, Ph.D. RPHB 309-E 205-975-4957 MBeasley@uab.edu Office Hours for Class: Beasley T-Th 12:30-2:00 H. Gao (TA) Wed. 2:00-4:00 roberton@uab.eduCourse Website: http:/www.soph.uab.edu/S
UAB - SOPH - 621
BST 621 (Beasley) Homework 1 (100 points) 1. Hand Calculate the Mean, Variance, and Standard Deviation for Y and X. Note: The Mean, Variance, and Standard Deviation for X and Y should be integers. Show your work; partial credit will be given. Also En
UAB - SOPH - 621
BST 621 (Beasley) Homework 1 (100 points) 1. Hand Calculate the Mean, Variance, and Standard Deviation for Y and X. Note: The Mean, Variance, and Standard Deviation for X and Y should be integers. Show your work; partial credit will be given. Also En
UAB - SOPH - 621
A 51.0 61.1 28.0 48.4 31.0 35.1 29.0 53.5 34.2 47.5 32.0 64.2 34.7 38.0 39.3 43.0 55.7 46.0 37.2 70.1 62.4 47.1 48.0 53.3 53.4 53.8 56.0 41.0 63.3 36.4 33.0 57.6 42.3 57.0 39.9 59.2 62.9 65.3 35.6 47.8 47.3 53.2 58.1 67.1 57.3 69.0 21.0 22.0B 45.0
UAB - SOPH - 621
BST 621 (Beasley) Homework 2 (100 points) Use the following Sample Data for Questions 1 5. Male Female Honda 60 70 Toyota 58 46 Nissan 84 56 Mazda 46 26 Mitsubishi 32 241. What is the Marginal Probability of randomly selecting a female from this s
UAB - SOPH - 621
BST 621 (Beasley) Homework 2 (100 points) Use the following Sample Data for Questions 1 5. Male Female Honda 60 70 Toyota 58 46 Nissan 84 56 Mazda 46 26 Mitsubishi 32 241. What is the Marginal Probability of randomly selecting a female from this s
UAB - SOPH - 621
Roll1 1 2 1 3 2 1 4 3 2 1 5 4 3 2 1 6 5 4 3 2 1 6 5 4 3 2 6 5 4 3 6 5 4 6 5 6Roll2 1 1 2 1 2 3 1 2 3 4 1 2 3 4 5 1 2 3 4 5 6 2 3 4 5 6 3 4 5 6 4 5 6 5 6 6Sum 2 3 3 4 4 4 5 5 5 5 6 6 6 6 6 7 7 7 7 7 7 8 8 8 8 8 9 9 9 9 10 10 10 11 11 12Mean 1 1.
UAB - SOPH - 621
BST 621 (Beasley) Homework 3 (Mid-Term) (200 points) 1. Suppose a researcher was interested in a smoking cessation treatment and administered a treatment of nicotine patches to N = 20 randomly sampled patients. After 4 weeks, the results showed that
UAB - SOPH - 621
BST 621 (Beasley) Homework 3 (Mid-Term) (200 points) 1. Suppose a researcher was interested in a smoking cessation treatment and administered a treatment of nicotine patches to N = 20 randomly sampled patients. After 4 weeks, the results showed that
UAB - SOPH - 621
ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35DBP 62 71 70 80 64 63 74 84 72 72 79 70 90 72 65 56 68 80 79 74 79 67 89 61 72 79 65 71 71 67 66 83 58 57 62SBP 127 137 139 169 149 143 151 144 143
UAB - SOPH - 621
group 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1quit 1 0 1 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 1 0 0 0 1 0 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 1 1 0 1 0itt 1 0 1 0 1 0 1 0 0 1 0 0 1 0 0
UAB - SOPH - 621
BST 621 (Beasley) Homework 4 (200 points) 1. An institutional researcher at U of X was interested in comparing the GRE scores of potential graduate students who apply to the School of Liberal Arts (SOLA) vs. the School of Public Health (SOPH). The re
UAB - SOPH - 621
BST 621 (Beasley) Homework 4 (200 points) 1. An institutional researcher at U of X was interested in comparing the GRE scores of potential graduate students who apply to the School of Liberal Arts (SOLA) vs. the School of Public Health (SOPH). The re
UAB - SOPH - 621
IDBMIPRE BMIPOST BMIDIFF RMRPRE RMRPOSTRMRDIFF 1 26.41 26.56 -0.15 1304.11 1312.32 -8.21 2 26.95 1400.23 3 27.56 1395.34 4 29.26 1329.73 5 30.18 32.04 -1.87 1666.05 1412.01 254.04 6 30.78 1578.79 7 31.27 1397.53 8 31.83 34.77 -2.93 1352.84 1465.71
UAB - SOPH - 621
1BST 621 BeasleyFinal 150 Points + Extra Credit1. An article in a political science journal states that no significant difference was found between men and women in their voting rates (p = .63). Can we conclude that the population voting rates
UAB - SOPH - 621
1BST 621 Beasley CreditFinal 150 Points + Extra1. An article in a political science journal states that no significant difference was found between men and women in their voting rates (p = .63). Can we conclude that the population voting rates
UAB - SOPH - 621
cond 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 20 20 20 20 20 20 20 20 20 20 20CT 64.47 64.31 64.67 62.62 64.34 63.61 64.41 63.05 63.72 63.27 64.29 64.66 65.32 63.22 63.66 64.08 63.22 64.83
UAB - SOPH - 621
gender Male Male Male Male Male Male Female Female Male Female Female Male Female Male Female Male Male Male Male Male Female Male Male Female Female Female Male Female Female Male Female Male Female Male Malemarstat Married Single Married Single M
UAB - SOPH - 621
age 9.12 9.92 9.52 9.27 9.64 9.64 9.85 9.07 9.41 9.57 9.84 9.19 9.24 12.19 12.99 13.27 14.67 15.67 15.6 16.93 19.84 20.95 22.54 23.87 25.71 26.38 25.48 27.01 28.19 23.58fsh 0.31 1.15 0.62 1.24 0.81 1.2 1.26 1.77 2.09 2.08 1.08 1.48 2.16 2.54 1.62 0
UAB - SOPH - 621
tvtime 1.5 1.5 3.5 1.5 0.5 0 1.5 3 0 2 2.5 2 3.5 2 7 4 3 2aggress 21 15 36 27 19 25 22 30 23 26 33 20 29 24 30 40 26 18letter 16 15 10 7 10 11 11 12 8 12 14 17 11 15 11 9 22 24
UAB - SOPH - 621
Biostatistics 621: Statistical Methods IFall Semester 2007Course InformationInstructor: T. Mark Beasley, PhD Associate Professor of Biostatistics Office: Ryals Room 309E Phone: (205) 975-4957 Email: mbeasley@uab.edu Tuesday/Thursday 11:00 12:15
UAB - SOPH - 621
Probability ConceptsEveryday Probability1 in 4 chance 30% survival rate 1 in 7.1 million the time 88% on-timeStatistical ProbabilityExpressed in-terms of 0 1 Used to 0 100%, this comes from multiplying the probability by 100% The closer to 0
UAB - SOPH - 621
Probability DistributionsSeries of eventsPreviously we have been discussing the probabilities associated with a single event: Observing a 1 on a single roll of a die Observing a K with a single card selection Now, well extend this concept to mor
UAB - SOPH - 621
Continuous Probability DistributionsPreviously we have been discussing the probabilities associated with discrete random variables where a rv can only assume a select number of values. Now, well extend this concept to continuous random variables
UAB - SOPH - 621
Hypothesis TestingSteps to Answering the Questions with DataHow does science advance knowledge? How do we answer questions about the world using observations? Generally, science forms a question and brings data to bear to answer it. Informally, th
UAB - SOPH - 621
Extending Hypothesis Testing p-values &amp; confidence intervalsSo far: how to state a question in the form of two hypotheses (null and alternative), how to assess the data, how to answer the question by using a statistic and an associated measure o
UAB - SOPH - 621
Comparing Means in Two PopulationsOverview The previous section discussed hypothesis testing when sampling from a single population (either a single mean or two means from the same population). Now well consider how to compare sample means from t
UAB - SOPH - 621
Comparing Two ProportionsCase StudyRecall the question that was actually asked in the CPR study reported in the NEJM. Do we need to give mouth-to-mouth ventilation and chest compression? Or will just doing chest compression alone be just as effe
UAB - SOPH - 621
Estimating with ConfidenceOverview We began our discussion of continuous variables with descriptive statistics. We'd considered issues relating to shape, center, and dispersion. Now we move on to estimation. How do we estimate parameters of a p
UAB - SOPH - 621
Estimating with Confidence, Part IIReview We use y-bar to estimate a population mean, . When sampling from a population with true mean , the true mean of the distribution of ybar is . On the average, the mean of means from larger samples should
UAB - SOPH - 621
Sample Size, Study Design and Comparing Two Proportions with Confidence IntervalsReviewUp to this point, we have discussed: how to state a question in the form of two hypotheses (null and alternative), how to assess the data, and how to answer
UAB - SOPH - 621
Two Paired MeansExample In 2004, high school students will have to pass Standard of Learning tests to graduate and schools will have to achieve a minimum passrate (50%) to retain school certification. In the figure below we see just the 10th grad
UAB - SOPH - 621
Analysis of Variance ANOVAOverview Weve used the t -test to compare the means from two independent groups. Now weve come to the final topic of the course: how to compare means from more than two populations. When were comparing the means from tw
UAB - SOPH - 621
Analysis of FrequenciesOverview This is the final section on the analysis of frequencies and proportions. Weve compared an observed proportion to a fixed standard. Weve compared proportions from two groups. Here we compare proportions from multi
UAB - SOPH - 621
Correlation and RegressionReview and Overview Previously, we have looked at the relationships between two or more categorical variables (dichotomous or multilevel), and the relationship between a categorical and continuous variable. Next well beg
UAB - SOPH - 621
Relationship of One-Way and Two-Way ANOVAOne-Way ANOVA Source Table ANOVA MODEL: Yij = * + j + ij Source Sum of SquaresBetween Groups (Explained Variance)Within Groups (Error Variance)H0: 1 = 2 = . . . = j or H0: 2j = 0 df Mean Squares F J-1 NJ
UAB - SOPH - 621
data one; input cell \$ TRAINING \$ EDUC \$ frc C1 C2 C3 R1 R2; cards; sll BOTH EE 59 +97 +136 0 +106 +94 sl2 COGN EE 35 +97 -117 +30 +106 +94 sl3 CULT EE 8 +97 -117 -106 +106 +94 sl4 NONE EE 48 -253 0 0 +106 +94 s21 BOTH ME 23 +97 +136 0 +106 -150 s22
UAB - SOPH - 623
BST 623 General Linear Models Assignment # 1Beasley 50 points1. Based on Muller and Fetterman page 49, suppose a two-group Between-Subjects Design with 2 n=5 for each group and 1 = = for the model, y = X11 + . 6 Design Matrix 1 contains an i
UAB - SOPH - 612
Section 2.Multiple RegressionRegression analyses use predictor variables in an attempt to predict outcome variables. There are many types of regression analysis: Simple linear regression is used to assess the relationship between a single continu
UAB - SOPH - 612
BST 612Regression Assignment #1 (150 Points)1. Studies on biomarkers of aging have looked for changes in cells, hormones, genes, and even behaviors to find a predictor of the rate of aging. For example, the brain shrinks with age. Lane et al. (20