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Exercise 1

Exercise 1. You have a clinical study in which 10 patients will either get the standard treatment or a new treatment Randomize which 5 of the 10 get the new treatment so that all possible combinations can result. Use Excel or R or another formal randomization method.

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Exercise 1

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  1. Exercise 1 • You have a clinical study in which 10 patients will either get the standard treatment or a new treatment • Randomize which 5 of the 10 get the new treatment so that all possible combinations can result. Use Excel or R or another formal randomization method. • Instead, randomize so that in each pair of patients entered by date, one has the standard and one the new treatment (blocked randomization). • What are the advantages of each method? • Why is randomization important? SPH 247 Statistical Analysis of Laboratory Data

  2. Exercise 2 • Analyze the testosterone levels from Rosner’sendocrin data set in the same way as we did for the estradiol levels, using anova(lm()) • Reanalyze estradiol and testosterone using lme() and verify that the results are the same. Here is the specificationlme(Testosterone ~ 1, random = ~1 | Subject,data=endocrin) • Repeat the analysis of the coop data for specimens 2 and 5 separately. Do the analysis both with the traditional ANOVA tables using lm() and with lme() and compare the results SPH 247 Statistical Analysis of Laboratory Data

  3. Data Sources • The coop data is from the MASS library (Modern Applied Statistics in S) • The folate data and the enalaprilat data are from ISwR (Introductory Statistics with R) • Estradiol data are from Rosner • Fasting blood glucose from Andrews and Herzberg, Data, with the data on Statlib athttp://lib.stat.cmu.edu/datasets/Andrews/ SPH 247 Statistical Analysis of Laboratory Data

  4. Course Website • http://dmrocke.ucdavis.edu SPH 247 Statistical Analysis of Laboratory Data

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