Introduction to statistical data analysis for the life sciences. (2010)

• Record Type: Book
• Further Information: Note: Claus Thorn Ekstrom, Helle Sorensen.
• Other Names: Ekstrom, Claus Thorn; Sorensen, Helle
• Contents: Description of Samples and Populations ; Data types; Visualizing categorical data; Visualizing quantitative data; Statistical summaries; What is a probability?; ; Linear Regression ; Fitting a regression line; When is linear regression appropriate?; The correlation coefficient; Perspective Comparison of Groups; Graphical and simple numerical comparison; Between-group variation and within-group variation; Populations, samples, and expected values; Least squares estimation and residuals; Paired and unpaired samples; Perspective; ; The Normal Distribution ; Properties; One sample; Are the data (approximately) normally distributed?; The central limit theorem Statistical Models, Estimation, and Confidence Intervals; Statistical models; Estimation; Confidence intervals; Unpaired samples with different standard deviations; ; Hypothesis Tests ; Null hypotheses; t -tests; Tests in a one-way ANOVA; Hypothesis tests as comparison of nested models; Type I and type II errors; ; Model Validation and Prediction ; Model validation; Prediction; ; Linear Normal Models ; Multiple linear regression; Additive two-way analysis of variance; Linear models; Interactions between variables; ; Probabilities; Outcomes, events, and probabilities; Conditional probabilities; Independence; ; The Binomial Distribution ; The independent trials model; The binomial distribution; Estimation, confidence intervals, and hypothesis tests; Differences between proportions; ; Analysis of Count Data ; The chi-square test for goodness-of-fit; 2 × 2 contingency table; Two-sided contingency tables; ; Logistic Regression; Odds and odds ratios; Logistic regression models; Estimation and confidence intervals; Hypothesis tests; Model validation and prediction; ; Case Exercises; Case 1: Linear modeling; Case 2: Data transformations; Case 3: Two sample comparisons; Case 4: Linear regression with and without intercept; Case 5: Analysis of variance and test for linear trend; Case 6: Regression modeling and transformations; Case 7: Linear models; Case 8: Binary variables; Case 9: Agreement; Case 10: Logistic regression Appendix A: Summary of Inference Methods ; Statistical concepts; Statistical analysis; Model selection Appendix B: Introduction to R; Working with R; Data frames and reading data into R; Manipulating data; Graphics with R; Reproducible research; Installing R; Exercises Appendix C: Statistical Tables ; The x 2 distribution; The normal distribution; The t distribution; The F distribution Bibliography Index R Commands and Output and Exercises appear at the end of each chapter.
• Publisher Details: Place of publication not identified : CRC Press
• Publication Date: 2010
• Extent: 1 online resource (427 pages), (29 illustrations)
• Subjects: 570.15195; Life sciences -- Statistical methods
• Languages: English
• ISBNs: 9781439894866; 1439894868
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.