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“Basic Statistics and Pharmaceutical Statistical Applications (Pharmacy Education Series Book 28) (English Edition)”，作者：[James E. De Muth]

Basic Statistics and Pharmaceutical Statistical Applications (Pharmacy Education Series Book 28) (English Edition) 3第三 版本, Kindle电子书

英语版本 James E. De Muth (作者) 格式: Kindle电子书
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  1. ISBN-13
    978-1466596733
  2. 版本
    3rd
  3. 出版社
    Chapman and Hall/CRC
  4. 出版日期
    2014年4月28日
  5. 部分系列
    Pharmacy Education
  6. 语言
    英语
  7. 文件大小
    31060 KB
  8. 查看全部详情
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"The book's coverage ... is immense and very impressive. The book also well describes introductory statistics, and coverage of normal outcomes was exemplary. The multiple comparisons and nonparametric statistics chapters in particular were outstanding. The third edition has made notable improvements over the second edition in several chapters; there are too many to describe here. ... very well written and easy to read. ... very useful and unique reading, given its wide practical coverage and the approaches taken. I have added this book to my go-to reference sources ... a very good teaching introduction to statistics for undergraduate and graduate students ... This book may be most useful for persons involved in preclinical and Phase 1 studies where standard normal, binomial, and nonparametric methods are used." -Journal of Biopharmaceutical Statistics, 2015 Praise for the Second Edition: "Dr. De Muth writes clearly about a very complex subject ... The second edition has been expanded and is an even more comprehensive description of the statistics used within the pharmaceutical industry and the health care system. ... a very useful reference tool for the pharmaceutical scientist and clinician..." -Frank J. Ascione, University of Michigan College of Pharmacy "De Muth has written a book that is both elegant and simple ... [it] enables the reader to clearly understand how to appropriately use statistics in designing studies and just as importantly determine when statistics should not be used ... an excellent reference book that will enable the non-statistician to appropriately use statistical approaches ... A unique attribute of this statistical textbook is the acknowledgement of how statistical tests can be misused ... useful information helps the non-statistician avoid some of the common errors that are made when using statistical approaches in the analysis of data." -Mark N. Milton, Millennium Pharmaceuticals, Inc. "The book is laid out well, and the organization follows an intuitive path, beginning with an introduction to statistics that is appropriate for entry-level students. I found the appendix that focuses on statistical errors commonly encountered in the literature particularly enlightening. In summary, this book is an excellent choice for beginning or intermediate researchers interested in designing, implementing, and reporting statistically sound studies." -Dawn Boothe, DVM, PhD, DACVIM, DACVCP, Auburn University, Auburn, Alabama, Journal of the American Veterinary Medical Association, March 2015 --此文字指其他 kindle_edition 版本。

目录

INTRODUCTION Types of Statistics Parameters and Statistics Sampling and Independent Observations Types of Variables Independent and Dependent Variables Selection of the Appropriate Statistical Test Procedures for Inferential Statistical Tests Applications of Computer Software PROBABILITY Classic Probability Probability Involving Two Variables Conditional Probability Probability Distribution Counting Techniques Binomial Distribution Poisson Distribution SAMPLING Random Sampling Using Minitab or Excel to Generate a Random Sample Other Probability Sampling Procedures Nonprobability Sampling Procedure Random Assignment to Two or More Experimental Levels Precision, Accuracy, and Bias Reliability and Validity PRESENTATION MODES Tabulation of Data Visual Displays for Discrete Variables Visual Displays for Continuous Variables Visual Displays for Two or More Continuous Variables Using Excel or Minitab for Visual Displays MEASURES OF CENTRAL TENDENCY Centers of a Continuous Distribution Dispersion Within a Continuous Distribution Population versus Sample Measures of Central Tendency Measurements Related to the Sample Standard Deviation Trimmed Mean Using Excel or Minitab for Measures of Central Tendency Alternative Computational Methods for Calculating Central Tendency THE NORMAL DISTRIBUTION AND DATA TRANSFORMATION The Normal Distribution Determining if the Distribution is Normal Data Transformations: An Overview Lognormal Transformation and the Geometric Mean Other Types of Transformations Using Excel or Minitab to Evaluate Normality CONFIDENCE INTERVALS AND TOLERANCE LIMITS Sampling Distribution Standard Error of the Mean versus the Standard Deviation Confidence Intervals Statistical Control Charts Process Capability Tolerance Limits Using Excel or Minitab for Applications Discussed HYPOTHESIS TESTING Hypothesis Testing Types of Errors Type I Error Type II Error and Power Experimental Errors and Propagation of Errors t-TESTS Parametric Procedures The t-distribution One-tailed vs. Two-tailed Tests One-Sample t-tests Two-Sample t-tests Computer Generated p-values Corrected Degrees of Freedom for Unequal Variances One-sample t-test Revisited for Critical Value Matched Pair t-Test (Difference t-Test) Using Excel or Minitab for Student t-tests ONE-WAY ANALYSIS OF VARIANCE (ANOVA) Hypothesis Testing with the One-way ANOVA The F-distribution Test Statistic ANOVA Definitional Formula ANOVA Computational Formula Randomized Block Design Homogeniety of Variance Using Excel or Minitab for One-Way ANOVAs MULTIPLE COMPARISON TESTS Error Associated with Multiple t-tests Overview of Multiple Comparison Tests The q-statistic Planned Multiple Comparisons Bonferroni Adjustment Sidak test Dunn's Multiple Comparisons Dunnett's Test Post Hoc Procedures Tukey HSD Test Student Newman-Keuls Test Fisher LSD Test Scheffe Procedure Scheffe Procedure for Complex Comparisons Unbalanced Designs Lack of Homogeneity Other Post Hoc Tests Using Minitab for Multiple Comparisons FACTORIAL DESIGNS: AN INTRODUCTION Factorial Designs Two-Way Analysis of Variance Computational Formula with Unequal Cell Size Post Hoc Procedures Repeated Measures Design Repeatability and Reproducibility Latin Square Designs Other Designs Fixed, Random, and Mixed Effect Models Beyond a Two-way Factorial Design Using Excel or Minitab for Two-Way ANOVAs CORRELATION Graphic Representation of Two Continuous Variables Covariance Pearson Product-Moment Correlation Coefficient Correlation Line Statistical Significance of a Correlation Coefficient Correlation and Causality In vivo and In vitro Correlation Other Types of Bivariate Correlations Pair-wise Correlations Involving More Than Two Variables Multiple Correlations Partial Correlations Nonlinear Correlations Assessing Independence and Randomness Using Excel or Minitab for Correlation REGRESSION ANALYSIS The Regression Line Coefficient of Determination ANOVA Table Confidence Intervals and Hypothesis Testing for the Population Slope (b) Confidence Intervals and Hypothesis Testing for the Population Intercept (a) Confidence Intervals for the Regression Line Inverse Prediction Multiple Data at Various Points on the Independent Variable Lack-of-Fit Test Assessing Parallelism of the Slopes of Two Sample Curvilinear and Nonlinear Regression Multiple Linear Regression Models Stepwise Regression Using Excel or Minitab for Regression Z-TESTS OF PROPORTIONS z-test of Proportions - One-sample Case z-test of Proportions - Two-sample Case Estimating Power and Desired Sample size for two-sample Z-test of Proportions z-tests for Proportions - Yates' Correction for Continuity Proportion Testing for More Than Two Levels of a Discrete Independent Variable CHI SQUARE TESTS Chi Square Statistic Chi Square for One Discrete Independent Variable Chi Square Goodness-of-fit Test Chi Square Test of Independence Yates' Correction for 2x2 Contingency Table Comparison of Chi Square to the Z-test of Proportions Fisher's Exact Test McNemar's Test Cochran's Q Test Mantel-Haenszel Test MEASURES OF ASSOCIATION Introduction Dichotomous Associations Nominal Associations Ordinal Associations Nominal-by-interval Associations Reliability Measurements ODDS RATIOS AND RELATIVE RISK RATIOS Probability, Odds, and Risk Odds Ratio Relative Risk Graphic Display for Odds Ratios and Relative Risk Ratios Mantel-Haenszel Estimate of Relative Risk Logistic Regression EVIDENCE-BASED PRACTICE: AN INTRODUCTION Sensitivity and Specificity Two-by-Two Contingency Table Defining Evidence Based Practice Frequentist versus Bayesian Approaches to Probability Predictive Values Likelihood Ratios SURVIVAL STATISTICS Censored Survival Data Life Table Analysis Survival Curve Kaplan-Meier Procedure Visually Comparison of Two Survival Curves Tests to Compare Two Levels of an Independent Variable Hazard Ratio Multiple Regression with Survival Data: Proportional Hazards Regression Other Measures and Tests of Survival NONPARAMETRIC TESTS Use of Nonparametric Tests Ranking of Information Mann-Whitney U Test Median Test Wilcoxon Matched-Pairs Test Sign Test Kruskal-Wallis Test Post hoc Comparisons using Kruskal-Wallis Friedman Two-Way Analysis of Variance Spearman Rank-Order Correlation Theil's Incomplete Method Kolmogorov-Smirnov Goodness-of-Fit Test Anderson-Darling Test Runs Tests Range Tests STATISTICAL TESTS FOR EQUIVALENCE Bioequivalence Testing Experimental Designs for Bioequivalence Studies Two-sample t-test Example Power in Bioequivalence Tests Rules for Bioequivalence Creating Confidence Intervals Comparison Using Two One-sided t-tests Clinical Equivalence and Non-inferiority Dissolution Testing SUPAC-IR Guidance OUTLIER TESTS Regulatory Considerations Outliers on a Single Continuum Plotting and Number of Standard Deviations from the Center The "Huge" Rule Grubbs' Test for Outlying Observations Dixon Q Test Hampel's Rule Multiple Outliers Bivariate Outliers in Correlation and Regression Analysis STATISTICAL ERRORS IN THE LITERATURE Errors and the Peer Review Process Problems with Experimental Design Standard Deviations versus Standard Error of the Mean Problems with Hypothesis Testing Problems with Parametric Statistics Errors with the Chi Square Test of Independence Appendix A: Flow Chart for the Selection of Appropriate Tests Appendix B: Statistical Tables Appendix C: Summary of Commands for Excel and Minitab Appendix D: Answers to Example Problems Index References, Supplemental Readings, and Example Problems appear at the end of each chapter. --此文字指其他 kindle_edition 版本。

基本信息

  • ASIN ‏ : ‎ B00KZ0N5LQ
  • 出版社 ‏ : ‎ Chapman and Hall/CRC; 第 3rd 版 (2014年4月28日)
  • 出版日期 ‏ : ‎ 2014年4月28日
  • 语言 ‏ : ‎ 英语
  • 文件大小 ‏ : ‎ 31060 KB
  • 标准语音朗读 ‏ : ‎ 未启用
  • X-Ray ‏ : ‎ 未启用
  • 生词提示功能 ‏ : ‎ 未启用
  • 纸书页数 ‏ : ‎ 847页
  • 用户评分:
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