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• Title:Biostatistics for the biological and health sciences / Marc M. Triola, MD, FACP, New York University School of Medicine, Mario F. Triola, Dutchess Community College, Jason Roy, University of Pennsylvania Perelman School of Medicine.
  
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• Author/Creator:Triola, Marc M.
  
• Other Contributors/Collections:Triola, Mario F.
  Roy, Jason (Jason Allen)
  
• Published/Created:[Boston] : Pearson, [2018]
  ©2018
  

• Holdings

  Holdings Record Display

  • Location:BMB LIBRARY (VGH) stacksWhere is this?
    
  • Call Number: QH323.5 .T75 2018
    
  • Number of Items:1
    
  • Status:Available
    

  • Location:WOODWARD LIBRARY stacksWhere is this?
    
  • Call Number: QH323.5 .T75 2018
    
  • Number of Items:1
    
  • Status:Available
    

   
• Library of Congress Subjects:Biometry.
  Medical statistics.
  
• Medical Subjects: Biostatistics
  
• Edition:Second edition.
  
• Description:xvi, 699 pages : color illustrations ; 29 cm
  
• Summary:Real-world applications connect statistical concepts to everyday life. Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life. Through these examples and a friendly writing style, the 2nd Edition ensures that you understand concepts and develop skills in critical thinking, technology, and communication. The result of collaboration between a biological sciences expert and the author of the #1 statistics book in the country, Biostatistics for the Biological and Health Sciences provides an excellent introduction to statistics for readers interested in the biological, life, medical, and health sciences.
  
• Notes:Includes bibliographical references and index.
  
• ISBN:9780134039015 (hardcover)
  0134039017 (hardcover)
  
• Contents:Machine generated contents note: 1. Introduction To Statistics
  1.1. Statistical and Critical Thinking
  1.2. Types of Data
  1.3. Collecting Sample Data
  2. Exploring Data With Tables And Graphs
  2.1. Frequency Distributions for Organizing and Summarizing Data
  2.2. Histograms
  2.3. Graphs That Enlighten and Graphs That Deceive
  2.4. Scatterplots, Correlation, and Regression
  3. Describing, Exploring, And Comparing Data
  3.1. Measures of Center
  3.2. Measures of Variation
  3.3. Measures of Relative Standing and Boxplots
  4. Probability
  4.1. Basic Concepts of Probability
  4.2. Addition Rule and Multiplication Rule
  4.3. Complements, Conditional Probability, and Bayes' Theorem
  4.4. Risks and Odds
  4.5. Rates of Mortality, Fertility, and Morbidity
  4.6. Counting
  5. Discrete Probability Distributions
  5.1. Probability Distributions
  5.2. Binomial Probability Distributions
  5.3. Poisson Probability Distributions
  6. Normal Probability Distributions
  6.1. Standard Normal Distribution
  6.2. Real Applications of Normal Distributions
  6.3. Sampling Distributions and Estimators
  6.4. Central Limit Theorem
  6.5. Assessing Normality
  6.6. Normal as Approximation to Binomial
  7. Estimating Parameters And Determining Sample Sizes
  7.1. Estimating a Population Proportion
  7.2. Estimating a Population Mean
  7.3. Estimating a Population Standard Deviation or Variance
  7.4. Bootstrapping: Using Technology for Estimates
  8. Hypothesis Testing
  8.1. Basics of Hypothesis Testing
  8.2. Testing a Claim About a Proportion
  8.3. Testing a Claim About a Mean
  8.4. Testing a Claim About a Standard Deviation or Variance
  9. Inferences From Two Samples
  9.1. Two Proportions
  9.2. Two Means: Independent Samples
  9.3. Two Dependent Samples (Matched Pairs)
  9.4. Two Variances or Standard Deviations
  10. Correlation And Regression
  10.1. Correlation
  10.2. Regression
  10.3. Prediction Intervals and Variation
  10.4. Multiple Regression
  10.5. Dummy Variables and Logistic Regression
  11. Goodness-Of-Fit And Contingency Tables
  11.1. Goodness-of-Fit
  11.2. Contingency Tables
  12. Analysis Of Variance
  12.1. One-Way ANOVA
  12.2. Two-Way ANOVA
  13. Nonparametric Tests
  13.1. Basics of Nonparametric Tests
  13.2. Sign Test
  13.3. Wilcoxon Signed-Ranks Test for Matched Pairs
  13.4. Wilcoxon Rank-Sum Test for Two Independent Samples
  13.5. Kruskal-Wallis Test for Three or More Samples
  13.6. Rank Correlation
  14. Survival Analysis
  14.1. Life Tables
  14.2. Kaplan-Meier Survival Analysis.