Preface | p. ix |

Acknowledgments | p. xi |

Introduction to the First Edition: An Accident Waiting To Happen | p. xiii |

Introduction to the Second Edition: Invasive Data | p. xvii |

Things People Do with Censored Data that Are Just Wrong | p. 1 |

Why Not Substitute-Missing the Signals that Are Present in the Data | p. 3 |

Why Not Substitute?-Finding Signals that Are Not There | p. 8 |

So Why Not Substitute? | p. 10 |

Other Common Misuses of Censored Data | p. 10 |

Three Approaches for Censored Data | p. 12 |

Approach 1: Nonparametric Methods after Censoring at the Highest Reporting Limit | p. 13 |

Approach 2: Maximum Likelihood Estimation | p. 14 |

Approach 3: Nonparametric Survival Analysis Methods | p. 17 |

Application of Survival Analysis Methods to Environmental Data | p. 17 |

Parallels to Uncensored Methods | p. 21 |

Reporting Limits | p. 22 |

Limits When the Standard Deviation is Considered Constant | p. 23 |

Insider Censoring-Biasing Interpretations | p. 29 |

Reporting the Machine Readings of all Measurements | p. 33 |

Limits When the Standard Deviation Changes with Concentration | p. 34 |

For Further Study | p. 36 |

Reporting, Storing, and Using Censored Data | p. 37 |

Reporting and Storing Censored Data | p. 37 |

Using Interval-Censored Data | p. 41 |

Exercises | p. 42 |

Plotting Censored Data | p. 44 |

Boxplots | p. 44 |

Histograms | p. 46 |

Empirical Distribution Function | p. 47 |

Survival Function Plots | p. 49 |

Probability Plot | p. 52 |

X-Y Scatterplots | p. 59 |

Exercises | p. 61 |

Computing Summary Statistics and Totals | p. 62 |

Nonparametric Methods after Censoring at the Highest Reporting Limit | p. 62 |

Maximum Likelihood Estimation | p. 64 |

The Nonparametric Kaplan-Meier and Turnbull Methods | p. 70 |

ROS: A "Robust" Imputation Method | p. 79 |

Methods in Excel | p. 86 |

Handling Data with High Reporting Limits | p. 86 |

A Review of Comparison Studies | p. 87 |

Summing Data with Censored Observations | p. 94 |

Exercises | p. 98 |

Computing Interval Estimates | p. 99 |

Parametric Intervals | p. 100 |

Nonparametric Intervals | p. 103 |

Intervals for Censored Data by Substitution | p. 103 |

Intervals for Censored Data by Maximum Likelihood | p. 104 |

Intervals for the Lognormal Distribution | p. 112 |

Intervals Using "Robust" Parametric Methods | p. 125 |

Nonparametric Intervals for Censored Data | p. 126 |

Bootstrapped Intervals | p. 136 |

For Further Study | p. 140 |

Exercises | p. 141 |

What Can be Done When All Data Are Below the Reporting Limit? | p. 142 |

Point Estimates | p. 143 |

Probability of Exceeding the Reporting Limit | p. 144 |

Exceedance Probability for a Standard Higher than the Reporting Limit | p. 148 |

Hypothesis Tests Between Groups | p. 151 |

Summary | p. 152 |

Exercises | p. 152 |

Comparing Two Groups | p. 153 |

Why Not Use Substitution? | p. 154 |

Simple Nonparametric Methods After Censoring at the Highest Reporting Limit | p. 156 |

Maximum Likelihood Estimation | p. 161 |

Nonparametric Methods | p. 167 |

Value of the Information in Censored Observations | p. 178 |

Interval-Censored Score Tests: Testing Data that Include (DL to RL) Values | p. 180 |

Paired Observations | p. 183 |

Summary of Two-Sample Tests for Censored Data | p. 192 |

Exercises | p. 192 |

Comparing Three or More Groups | p. 194 |

Substitution Does Not Work-Invasive Data | p. 195 |

Nonparametric Methods after Censoring at the Highest Reporting Limit | p. 196 |

Maximum Likelihood Estimation | p. 199 |

Nonparametric Method-The Generalized Wilcoxon Test | p. 209 |

Summary | p. 215 |

Exercises | p. 216 |

Correlation | p. 218 |

Types of Correlation Coefficients | p. 218 |

Nonparametric Methods after Censoring at the Highest Reporting Limit | p. 219 |

Maximum Likelihood Correlation Coefficient | p. 224 |

Nonparametric Correlation Coefficient-Kendall's Tau | p. 227 |

Interval-Censored Score Tests: Testing Correlation with (DL to RL) Values | p. 230 |

Summary: A Comparison Among Methods | p. 232 |

For Further Study | p. 234 |

Exercises | p. 235 |

Regression and Trends | p. 236 |

Why Not Substitute? | p. 237 |

Nonparametric Methods After Censoring at the Highest Reporting Limit | p. 239 |

Maximum Likelihood Estimation | p. 249 |

Akritas-Theil-Sen Nonparametric Regression | p. 258 |

Additional Methods for Censored Regression | p. 264 |

Exercises | p. 266 |

Multivariate Methods for Censored Data | p. 268 |

A Brief Overview of Multivariate Procedures | p. 269 |

Nonparametric Methods After Censoring at the Highest Reporting Limit | p. 273 |

Multivariate Methods for Data with Multiple Reporting Limits | p. 288 |

Summary of Multivariate Methods for Censored Data | p. 296 |

The NADA for R Software | p. 297 |

A Brief Overview of R and the NADA Software | p. 297 |

Summary of the Commands Available in NADA | p. 300 |

Appendix: Datasets | p. 303 |

References | p. 309 |

Index | p. 321 |

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