Activity Log
April 2012
This activity log reports the projects that Professional Statistical Services conducted during April of calendar year 2012. Unless otherwise specified, all computerized analyses were conducted using SPSS.
Project Title 
Description 
Methods Used 
Status 
Clinical Test of Extended vs. Intermittent Methods of Aminoglycoside Infusion 
Compute descriptive statistics for each treatment group on all variables; compare means on the 3 dependent variables (i.e., mortality, length of stay and duration of treatment) between each pair of subgroups on 14 categorical variables; compute correlations between 4 continuous independent variables and each of the 3 dependent variables; identify significant predictors of each of the 3 dependent variables. 

completed 
Review and Edit Methods Chapter of Dissertation 
Edit wording and grammar; add description and justification of mediation analysis. 

completed 
Analyze summary data on bleeding vs. nonbleeding events among hospital patients over 3 consecutive years 
Compare rates of bleeding between each pair of years; determine whether a linear trend in the rate of bleeding existed over the 3 years. 

completed 
Graduate Intro Statistics Problem Set 
Solve seven problems dealing with multiple regression, residual analysis, assessing fit of data to assumptions of regression, data transformations to correct skewness, fitting nonlinear models, identifying outliers. 

completed 
Quality Assurance Case Analysis for Graduate Business Course 
Develop a solution to a case involving defects in an automatic production process. 

completed 
Graduate Political Science Quantitative Methods Course Problem Set 
Conduct binary logistic regression on a provided data set, summarize findings, interpret improvement in classification accuracy, interpret odds ratios for 3 predictors. 

completed 
Data Analysis & Interpretation for Dissertation in Applied Animal Behavior 
Revise hypotheses to testable form, analyze results of two experiments in canine tracking behavior. 

completed 
Graduate Nursing Quantitative Methods Course Problem Set 
Calculate needed sample size needed to infer population proportion with 4% error and 98% confidence, calculate needed sample size to achieve specified error with 90% confidence (estimating variance from range), compute confidence intervals, compute needed sample size for test of difference between independent proportions for specified powers to detect specified differences at specified alphas, and other similar problems. 

completed 
Graduate Medical Statistics Course Problem Assignment 
Conduct and report results of survival analysis 

completed 
Graduate Biostatistics Course Problem Assignment 
Compute margin of error values, sample size requirements, test hypotheses regarding proportions. 

completed 
Graduate Course in Operations & Supply Chain Management Pr 
Compute and interpret p and r control charts for a before and after case with data provided; 10 control charts in all. 

completed 
Undergraduate Statistics in Business Course Term Project 
Provide guidance in formulation study and data analysis; analyze data; prepare draft of methods and results sections. 

completed 
Graduate Business Statistics Course Problem Set 
Use data supplied with case problem to identify and/or construct potential predictors, use alternative methods to identify best regression model, explain procedures and decisions, interpret results. 

completed 
Analysis of Relationship between Weather and Admissions to Hospital Emergency Departments 
Analyze 6 years of daily weather data, with 4 different weather indexes, for its relationship to hospital emergency admissions. 

completed 
Quantitative Methods in Economics Case Problem with Data 
Analyze the relationship of standardized testing in schools to subsequent indicators of economic wellbeing; 10 multipart questions; theorizing, analysis, interpretation. 

completed 
Biostatistics Course Assignment 
Compute margin of error, compute needed sample sizes for different margins of error, discuss issues relevant to determining appropriate sample size. 

completed 
Write Journal Article on the Results of a Clinical Research Study on Humans 
Write a journal article on a controlled study of the effects of a dental product on humans; include lit review, hypotheses, method, results, and discussion sections. 

completed 
Statistics Course Assignment 
Follow a 9step protocol, proceeding from the research question through hypothesis specification, testing, & conclusion) for 5 research questions; extensive writing (10 pages). 

completed 
Graduate Business Statistics Course Problem Set 
Four case problems with data provided; compare focus group ratings of 3 commercials; test for differences in regional preferences for product characteristics; examine data for relationship between age category and political affiliation; examine data for differences between source types on perceived degree to which the source disseminates information. 

completed 
Graduate Business Statistics Course Exam Problems 
Develop answers for 4 multipart problems: relationship between water quality and watershed areas of streams; relationship between gasoline mileage and weight, displacement, horsepower, length, and width; indications of racial or ethnic differences in rates of being stopped by police; relationship between birth weight and infant survival. 

completed 
Biostatistics Course Problem Set 
Compute normal scores of a subset of observations from a sample 130; compute correlation in a normal probability plot; compute correlations between variables. 

completed 
Graduate Statistics Course Homework Problems 
Develop answers to 6 multipart problems: compute predicted values of regression model; compute R^{2}; compute F for difference in R^{2} between regression models (partial F tests); assess confounding in regression; test for parallelism of 2 straight lines; test for coincidence of two straight lines. 

completed 
Graduate Nursing Statistics Course: Problem Set 
Explore relationship between speed and miles per gallon of fuel, and engine displacement and miles per gallon of fuel; model mpg as a function of speed and engine displacement; evaluate residuals for fulfillment of regression assumptions; model number of state employees as function of state population size; model breastfeeding status against ethnicity; 

completed 
Graduate Nursing Statistics Course: Logistic Regression Problem Set 
For multiple problems, compute confidence interval for LR predictor coefficient; compute confidence interval for the population odds ratio; compute overall G test for an LR model. 

completed 
Graduate Business Statistics Course: Case problem with 9 sections 
Compute analysis required in each of the 9 sections; answer questions regarding interpretation of results. 

completed 
Graduate Nursing Biostatistics Course: Survival Analysis Problem Set 
Interpret output from KaplanMeier analyses for single group and multiple groups; interpret Cox regression results for a predictor with 2 levels and Injury ; compute hazard ratios for 6 different ISS scores. 

completed 
Graduate Business Statistics Course: Homework problems 
Answer questions about 5 short case problems; how to measure variables, what analysis to use, justification for analysis choice. 

completed 
Graduate Business Statistics Homework Problems 
Compute logistic regression for provided data; derive equation for outcome probability from the equation for the log odds of the outcome; compare nonlinearity of predicted odds to linearity of predicted log odds; compare least squares and logistic fits. 

completed 
Graduate Statistics Course Project 
Compute optimal nonlinear regression model for a data set. 

completed 
Graduate Business Statistics Course Homework Assignment 
Compute 10,000 iteration simulation of frequencies of 2 conditions with starting relative frequencies; compute hypergeometric probabilities; chisquare analysis; compute relative risk and odds ratio; 

completed 
Graduate Nursing Statistics Course: Problem Set 
Compute odds ratio; interpret logistic regression output; compute predicted probability from LR model; compute odds and odds ratios; show equivalence between alternative ways of computing odds and odds ratios. 

completed 