# The American Statistician
2012 - 2017
Continuation of The American Statistician. Current editor(s): *Eric Sampson* From Taylor & Francis Journals Series data maintained by Chris Longhurst (). Access Statistics for this journal.
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**Volume 71, issue 3, 2017**
- A Note on the Inverse Birthday Problem With Applications pp. 191-201
*Wen-Han Hwang*, *Richard Huggins* and *Lu-Fang Chen*
- Sufficiency Revisited: Rethinking Statistical Algorithms in the Big Data Era pp. 202-208
*Jarod Y. L. Lee*, *James J. Brown* and *Louise M. Ryan*
- Statistical Engineering: An Idea Whose Time Has Come? pp. 209-219
*Roger W. Hoerl* and *Ronald D. Snee*
- Strategies for Success: Early-Stage Collaborating Biostatistics Faculty in an Academic Health Center pp. 220-230
*Heidi Spratt*, *Erin E. Fox*, *Nawar Shara* and *Madhu Mazumdar*
- All Data are Wrong, but Some are Useful? Advocating the Need for Data Auditing pp. 231-235
*Sitsofe Tsagbey*, *Miguel de Carvalho* and *Garritt L. Page*
- On the Use of the Concentration Function in Medical Fraud Assessment pp. 236-241
*Tahir Ekin*, *Francesca Ieva*, *Fabrizio Ruggeri* and *Refik Soyer*
- Coherent Hypothesis Testing pp. 242-248
*Victor Fossaluza*, *Rafael Izbicki*, *Gustavo Miranda da Silva* and *Luís Gustavo Esteves*
- Resolving a Multi-Million Dollar Contract Dispute With a Latin Square pp. 249-258
*William B. Fairley*, *Peter J. Kempthorne*, *Julie Novak*, *Scott McGarvie*, *Steve Crunk*, *Bee Leng Lee* and *Alan J. Salzberg*
- Bayes and MCMC for Undergraduates pp. 259-264
*Jeff Witmer*
- Convergence of Known Distributions to Limiting Normal or Non-normal Distributions: An Elementary Ratio Technique pp. 265-271
*Subhash Bagui* and *K. L. Mehra*
- A Useful Pivotal Quantity pp. 272-274
*Panagiotis (Panos) Toulis*
- Comparing Two Tests for Two Rates pp. 275-281
*Chunpeng Fan*, *Lin Wang* and *Lynn Wei*
- Reviews of Books and Teaching Materials pp. 282-289
*The Editors*
**Volume 71, issue 2, 2017**
- Reversals of Least-Square Estimates and Model-Invariant Estimation for Directions of Unique Effects pp. 97-105
*Brian Knaeble* and *Seth Dutter*
- Approximate Bayesianity of Frequentist Confidence Intervals for a Binomial Proportion pp. 106-111
*Shaobo Jin*, *Måns Thulin* and *Rolf Larsson*
- The Target Parameter of Adjusted R-Squared in Fixed-Design Experiments pp. 112-119
*Hillel Bar-Gera*
- Wallet Game: Probability, Likelihood, and Extended Likelihood pp. 120-122
*Yudi Pawitan* and *Youngjo Lee*
- Multivariate Chebyshev Inequality With Estimated Mean and Variance pp. 123-127
*Bartolomeo Stellato*, *Bart P. G. Van Parys* and *Paul J. Goulart*
- A Statistical Inference Course Based on -Values pp. 128-136
*Ryan Martin*
- A Bayesian Analysis of Synchronous Distance Learning versus Matched Traditional Control in Graduate Biostatistics Courses pp. 137-144
*Jo A. Wick*, *Hung-Wen Yeh* and *Byron J. Gajewski*
- Explaining Normal Quantile-Quantile Plots Through Animation: The Water-Filling Analogy pp. 145-147
*Robert A. Stine*
- The Quality of Pitches in Major League Baseball pp. 148-154
*Philippa Swartz*, *Mike Grosskopf*, *Derek Bingham* and *Tim B. Swartz*
- The Current Landscape of Teaching Analytics to Business Students at Institutions of Higher Education: Who is Teaching What? pp. 155-161
*Amy L. Phelps* and *Kathryn A. Szabat*
- An Empirical Comparison of Multiple Imputation Methods for Categorical Data pp. 162-170
*Olanrewaju Akande*, *Fan Li* and *Jerome Reiter*
- Efficient Computation of Reduced Regression Models pp. 171-176
*Stuart R. Lipsitz*, *Garrett M. Fitzmaurice*, *Debajyoti Sinha*, *Nathanael Hevelone*, *Edward Giovannucci*, *Quoc-Dien Trinh* and *Jim C. Hu*
- Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations pp. 177-181
*Zhi-Sheng Ye* and *Nan Chen*
- Reviews of Books and Teaching Materials pp. 182-186
*The Editors*
- Models for count data pp. 187-190
*Iain L. MacDonald*
- Non-Asymptotic Mean and Variance Also Approximately Satisfy Taylor's Law pp. 187-187
*Michael P. Cohen*
- Reply pp. 190-190
*Kimberly F. Sellers*, *Darcy S. Morris*, *Galit Shmueli* and *Li Zhu*
**Volume 71, issue 1, 2017**
- What is Mentoring? pp. 1-2
*Aarti Shah*
- Mentoring in the ASA: A Commentary pp. 3-4
*David Morganstein*
- Mentoring in the ASA: A Rejoinder pp. 5-5
*Mary Kwasny*
- Statistical Mentoring at Early Training and Career Stages pp. 6-14
*Christine M. Anderson-Cook*, *Michael S. Hamada*, *Leslie M. Moore* and *Joanne R. Wendelberger*
- The Big Tent for Statistics: Mentoring Required pp. 15-22
*Eric A. Vance*, *Donna E. LaLonde* and *Lin Zhang*
- An Eight-Step Guide to Creating and Sustaining a Mentoring Program pp. 23-29
*Eric A. Vance*, *Erin Tanenbaum*, *Amarjot Kaur*, *Mark C. Otto* and *Richard Morris*
- Building Bridges: The Role of an Undergraduate Mentor pp. 30-33
*Mark Daniel Ward*
- Re-Defining the, and of Mentoring for Professional Statisticians pp. 34-37
*Lauren Vollmer*, *Aparna Keshaviah*, *Dmitriy Poznyak*, *Sharon Zhao*, *Fei Xing* and *Nicholas Beyler*
- Developing a Career in the Practice of Statistics: The Mentor's Perspective pp. 38-46
*Kim Love*, *Eric A. Vance*, *Frank E. Harrell,*, *Dallas E. Johnson*, *Michael H. Kutner*, *Ronald D. Snee* and *Doug Zahn*
- Mentoring Faculty Women in Statistics: Exploring Challenges and Opportunities for Leadership Development pp. 47-54
*Amanda L. Golbeck*
- Mentoring to Achieve Diversity in Graduate Programs pp. 55-60
*Jacqueline M. Hughes-Oliver*
- Experience Simpson's Paradox in the Classroom pp. 61-66
*Jiangtao Gou* and *Fengqing (Zoe) Zhang*
- An Intuitive Geometric Approach to the Gauss Markov Theorem pp. 67-70
*Leandro da Silva Pereira*, *Lucas Monteiro Chaves* and *Devanil Jaques de Souza*
- Bridging the Gap: A Generalized Stochastic Process for Count Data pp. 71-80
*Li Zhu*, *Kimberly F. Sellers*, *Darcy Steeg Morris* and *Galit Shmueli*
- Point Estimates of Test Sensitivity and Specificity from Sample Means and Variances pp. 81-87
*Richard G. Spencer*, *Benjamin D. Cortese*, *Vanessa A. Lukas* and *Nancy Pleshko*
- Response to the ASA’s Statement on -Values: Context, Process, and Purpose pp. 88-89
*Edward L. Ionides*, *Alexander Giessing*, *Yaacov Ritov* and *Scott E. Page*
- Letter to the Editor: Average Entropy Does Not Measure Uncertainty pp. 89-90
*Susan E. Hodge*
- Response to "Average Entropy Does Not Measure Uncertainty" pp. 91-91
*Omar A. Kittaneh*
- Reviews of Books and Teaching Materials pp. 92-96
*Reza Ramezan*
**Volume 70, issue 4, 2016**
- Assessing Equality of Means Using the Overlap of Range-Preserving Confidence Intervals pp. 325-334
*Kimihiro Noguchi* and *Fernando Marmolejo-Ramos*
- How the Maximal Evidence of -Values Against Point Null Hypotheses Depends on Sample Size pp. 335-341
*Leonhard Held* and *Manuela Ott*
- Improving the Big East Conference Basketball Tournament pp. 342-349
*Christopher Abdul-Chani* and *Jesse Frey*
- Understanding the Ensemble Kalman Filter pp. 350-357
*Matthias Katzfuss*, *Jonathan R. Stroud* and *Christopher K. Wikle*
- Bias Introduced by Rounding in Multiple Imputation for Ordered Categorical Variables pp. 358-364
*Yan Xia* and *Yanyun Yang*
- Interval Estimation for the “Net Promoter Score” pp. 365-372
*Brendan Rocks*
- How Robust Are Multirater Interrater Reliability Indices to Changes in Frequency Distribution? pp. 373-384
*David Quarfoot* and *Richard A. Levine*
- Weighing Evidence “Steampunk” Style via the Meta-Analyser pp. 385-394
*Jack Bowden* and *Chris Jackson*
- Computation of Two- and Three-Dimensional Confidence Regions With the Likelihood Ratio pp. 395-398
*Adam Jaeger*
- Statistics of Primes (and Probably Twin Primes) Satisfy Taylor's Law from Ecology pp. 399-404
*Joel E. Cohen*
- Meeting Student Needs for Multivariate Data Analysis: A Case Study in Teaching an Undergraduate Multivariate Data Analysis Course pp. 405-412
*Amy Wagaman*
- Sojourning With the Homogeneous Poisson Process pp. 413-423
*Piaomu Liu* and *Edsel A. Peña*
- Reviews of Books and Teaching Materials pp. 424-433
*The Editors*
- Letter to the Editor pp. 434-434
*Lawrence M. Lesser*
- Editorial Collaborators pp. 435-437
*The Editors*
- Editorial Board EOV pp. ebi-ebi
*The Editors*
**Volume 70, issue 3, 2016**
- On Galton's Change From “Reversion” to “Regression” pp. 227-231
*Prakash Gorroochurn*
- A Unified Approach to Authorship Attribution and Verification pp. 232-242
*Xavier Puig*, *Martí Font* and *Josep Ginebra*
- Data-Driven Confidence Interval Estimation Incorporating Prior Information with an Adjustment for Skewed Data pp. 243-249
*Albert Vexler*, *Li Zou* and *Alan D. Hutson*
- Calibrated Bayes Factors in Assessing Genetic Association Models pp. 250-256
*J. G. Liao*, *Duanping Liao* and *Arthur Berg*
- The Class Joke Contest: Encouraging Creativity and Improving Attendance pp. 257-259
*John C. Wierman*
- Teaching and Learning Data Visualization: Ideas and Assignments pp. 260-269
*Deborah Nolan* and *Jamis Perrett*
- Mean, What do You Mean? pp. 270-274
*Miguel de Carvalho*
- The Number of MCMC Draws Needed to Compute Bayesian Credible Bounds pp. 275-284
*Jia Liu*, *Daniel J. Nordman* and *William Q. Meeker*
- Case Study in Evaluating Time Series Prediction Models Using the Relative Mean Absolute Error pp. 285-292
*Nicholas G. Reich*, *Justin Lessler*, *Krzysztof Sakrejda*, *Stephen A. Lauer*, *Sopon Iamsirithaworn* and *Derek A. T. Cummings*
- On the Conditional Distribution of the Multivariate Distribution pp. 293-295
*Peng Ding*
- Visualizing Count Data Regressions Using Rootograms pp. 296-303
*Christian Kleiber* and *Achim Zeileis*
- Visualizing Mean, Median, Mean Deviation, and Standard Deviation of a Set of Numbers pp. 304-312
*Jyotirmoy Sarkar* and *Mamunur Rashid*
- Reviews of Books and Teaching Materials pp. 313-322
*The Editors*
- Corrigendum pp. 323-323
*Ben O'Neill*
**Volume 70, issue 2, 2016**
- The ASA's Statement on p -Values: Context, Process, and Purpose pp. 129-133
*Ronald L. Wasserstein* and *Nicole A. Lazar*
- Confidence Intervals for the Scale Parameter of Exponential Family of Distributions pp. 134-137
*Hossein Hoshyarmanesh*, *Amirhossein Karami* and *Adel Mohammadpour*
- Explaining the Importance of Variability to Engineering Students pp. 138-142
*Pere Grima*, *Lourdes Rodero* and *Xavier Tort-Martorell*
- A Note on the Relationship Between the Phi Coefficient and the Tetrachoric Correlation Under Nonnormal Underlying Distributions pp. 143-148
*Hakan Demirtas*
- Training the Next Generation of Statisticians: From Head to Heart pp. 149-151
*Henry S. Lynn*
- A Statistical Approach to Crime Linkage pp. 152-165
*Michael D. Porter*
- Analogies for Helping Clinicians and Investigators Better Understand the Principles and Practice of Biostatistics pp. 166-170
*Martin L. Lesser*, *Meredith B. Akerman* and *Nina Kohn*
- Simple Estimation Intervals for Poisson, Exponential, and Inverse Gaussian Means Obtained by Symmetrizing the Likelihood Function pp. 171-180
*Eloísa Díaz-Francés*
- Statistical Modeling to Inform Optimal Game Strategy: Markov Plays H-O-R-S-E pp. 181-186
*Thaddeus Tarpey* and *R. Todd Ogden*
- Best Practices for Biostatistical Consultation and Collaboration in Academic Health Centers pp. 187-194
*Susan M. Perkins*, *Peter Bacchetti*, *Cynthia S. Davey*, *Christopher J. Lindsell*, *Madhu Mazumdar*, *Robert A. Oster*, *Peter N. Peduzzi*, *David M. Rocke*, *Kyle D. Rudser* and *Mimi Kim*
- A Simple Two-Sample Bayesian t -Test for Hypothesis Testing pp. 195-201
*Min Wang* and *Guangying Liu*
- Variations of Q -- Q Plots: The Power of Our Eyes! pp. 202-214
*Adam Loy*, *Lendie Follett* and *Heike Hofmann*
- Confidence Intervals and the Within-the-Bar Bias pp. 215-220
*Christopher S. Pentoney* and *Dale E. Berger*
- Letter to the Editor pp. 224-224
*Saralees Nadarajah*
**Volume 70, issue 1, 2016**
- Samurai Sudoku-Based Space-Filling Designs for Data Pooling pp. 1-8
*Xu Xu*, *Peter Z. G. Qian* and *Qing Liu*
- Characterizing Dirichlet Priors pp. 9-17
*Marcio A. Diniz*, *Jasper De Bock* and *Arthur Van Camp*
- Average Entropy: A New Uncertainty Measure with Application to Image Segmentation pp. 18-24
*Omar A. Kittaneh*, *Mohammad A. U. Khan*, *Muhammed Akbar* and *Husam A. Bayoud*
- The Advantages of Using Group Means in Estimating the Lorenz Curve and Gini Index From Grouped Data pp. 25-32
*Merritt Lyon*, *Li C. Cheung* and *Joseph L. Gastwirth*
- The p -Value You Can’t Buy pp. 33-38
*Eugene Demidenko*
- Evaluating the Validity of Post-Hoc Subgroup Inferences: A Case Study pp. 39-46
*Joseph J. Lee* and *Donald B. Rubin*
- The Central Role of Bayes’ Theorem for Joint Estimation of Causal Effects and Propensity Scores pp. 47-54
*Corwin Matthew Zigler*
- A New Approach to ANOVA Methods for Autocorrelated Data pp. 55-62
*Robert Lund*, *Gang Liu* and *Qin Shao*
- Misunderstood and Unattributed: Revisiting M. H. Doolittle's Measures of Association, With a Note on Bayes’ Theorem pp. 63-73
*Timothy W. Armistead*
- Self-Calibrating Quantile--Quantile Plots pp. 74-90
*R. Wayne Oldford*
- k -POD: A Method for k -Means Clustering of Missing Data pp. 91-99
*Jocelyn T. Chi*, *Eric C. Chi* and *Richard G. Baraniuk*
- Bootstrapping a Universal Pivot When Nuisance Parameters are Estimated pp. 100-107
*John E. Angus*
- An Example of an Improvable Rao--Blackwell Improvement, Inefficient Maximum Likelihood Estimator, and Unbiased Generalized Bayes Estimator pp. 108-113
*Tal Galili* and *Isaac Meilijson*
- Even More Direct Calculation of the Variance of a Maximum Penalized-Likelihood Estimator pp. 114-118
*Iain L. MacDonald* and *Brendon M. Lapham*
- Privacy, Big Data, and the Public Good: Frameworks for Engagement pp. 119-119
*Philip B. Stark*
- Letter to the Editor pp. 127-127
*Stephen M. Stigler*
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