Jones RH 
Bayesian information criterion for longitudinal and clustered data 
Stat in Med 
Nov 10 2011 
3050 
Useful effective sample sizes for different correlation patterns including AR1 and unequal measurement times 
Begg MD, Vaughan RD 
Are biostatistics students prepared to succeed in the era of interdisciplinary science? (And how will we know?) 
Am Statistician 
May 2011 
71 
Excellent definitions of multi, inter, and transdisciplinary and how this should affect training; in one experiment a multidisciplinary approach did not benefit students early in their programs 
Kass, R 
Statistical inference: The big picture 
Statistical Sci 
Feb 2011 
1 
Bridges frequentist and Bayesian inference with an alternative "big picture" pragmatic depiction; excellent discussions by others 
Wingspan Productions 
The Joy of Stats 
Broadcast by BBC 


Hans Rosling says there’s nothing boring about stats, and then goes on to prove it. A onehour long documentary produced by Wingspan Productions and broadcast by BBC, 2010. 
Lehrer, J 
The truth wears off 
The New Yorker 
Dec 13 2010 
52 
Beautifully written article on the shrinkage of scientific findings over time; related to reproducible research and publication bias; see also http://www.scientificamerican.com/blog/post.cfm?id=inpraiseofscientificerror20101220 this 
Nolan D, Temple Lang D 
Computing in the statistics curricula 
Am Statistician 
64:2 
97 
A definitive article on what the statistical computing component of a graduate stat program should contain, and what goes wrong when only cursory attention is paid to computing 
Brown EN, Kass RE 
What is statistics? 
Am Statistician 
63:2 2009 
105 
Defines statistical thinking and what happens when graduate programs do not incorporate it 
Divine G, Kapke A et al 
Exemplary data set sample size calculation for WilcoxonMannWhitney tests 
Stat in Med 
Jan 15 2010 
108 
Use of pilot data and noncentrality parameter estimates to scale up to sample size needed for definitive study 
Wickham H 
A layered grammar of graphics 
J Comp Graph Stat 
March 2010 
3 
Excellent article about foundations of statistical graphics and how to use ggplot2 including a concise specification of Napoleon's march to Moscow 
London AJ, Kimmelman J, Emborg ME 
Beyond access vs. protection in trials of innovative therapies 
Science 
May 14 2010 
829 
Harm to science of badly designed or badly motivated studies 
Tu YK, Law GR, Ellison GTH, Gilthorpe MS 
Ratio index variables or ANCOVA? Fisher's cat revisited 
Pharm Stat 
9;2010 
77 
Shows contradictory findings resulting from use of ratios when measurement error or imperfect correlations are present 
Pocock SJ, Ware JH 
Translating statistical findings into plain English 
Lancet 
Jun 6 2009 
1926 
Concise reference on how to word results from Pvalues and confidence limits in medical papers 
Ransohoff D 
How to improve reliability and efficiency of research about molecular markers: roles of phases, guidelines, and study design 
J Clin Epi 
Dec 2007 
1205 
Study design is all important; principles are more important than phases and guidelines; strong case for making early studies reliable; excellent bibliography and list of examples of omics studies gone bad 
Young SS 
Gaming the system: Chaos from multiple testing 
IMS Bulletin 
Dec 2007 
13 
Editorial about the scientific crisis caused by poor statistical practice in epidemiology 
Sonnenburg et al 
The Need for Open Source Software in Machine Learning 
J Machine Learning Res 
2007 
2443 
Excellent summary of benefits of open source and of various licenses 
Palmer CR, Shahumyan H 
Implementing a decisiontheoretic design in clinical trials:Why and how? 
Stat in Med 
30 Nov 2007 
4939 
Benefits of a decisiontheoretic approach to clinical trials;excellent summary of ethical issues;first known clinical trial; datadependent design; software 
Campbell I 
Chisquared and FisherIrwin tests of twobytwo tables with small sample recommendations 
Stat in Med 
30 Aug 2007 
3661 
Why not to use Fisher's test or the Yates correction; why to use N1 instead of N in formula for Pearson chisquare. See DataAnalysisDisc 
Louis T 
Our future as history 
Biometrics 
March 2007 
1 
A nice article about the future and challenges of biostatistics 
Royston P, Altman D, Sauerbrei W 
Dichotomizing continuous predictors in multiple regression: a bad idea 
Stat in Med 
15 Jan 2006 
127 
Covers all the terrible problems caused by dichotomization 
Wang A, Gehan EA 
Gene selection for microarray data analysis using principal component analysis 
Stat in Med 
15 Jul 2005 
2069 
Data reduction method of potentially great use in gene microarray analysis and many other areas 
Morton S 
Statistical collaboration to impact policy decisions 
Stat in Med 
28 Feb 2005 
493 
Definitions of consulting and collaboration, excellent case studies where a statistician made a fundamental impact 
Senn S 
Added values controversies concerning randomization and additivity in clinical trials 
Stat in Med 
30 Dec 2005 
3729 
Interesting discussion on randomization and covariatebalanced randomization, blocking, covariate adjustment, choice of metrics, history 
Efron B 
Statistics and the rules of science 
Amstat News 
July 2004 
2 
Excellent summary of the scientific process 
Dufouil C, Brayne C, Clayton D 
Analysis of longitudinal studies with death and dropout: a case study 
Stat in Med 
Jul 2004 
2215 
Good overview, discusses problems in targeting immortal subjects 
Hogan J, Roy J, Korkontzelou C 
Handling dropout in longitudinal studies 
Stat in Med 
May 2004 
43 
Excellent tutorial on nonrandom dropout 
Mason RL 
Does the statistics profession have an identity crisis? 
JASA 
Mar 2004 
1 
Strong case for certification of statisticians 
Brumback BA, Hernan MA, Haneuse SJPA, Robins JM 
Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures 
Stat in Med 
Mar 2004 
747 

Lin DY, Ying Z 
Semiparametric regression analysis of longitudinal data with informative dropouts 
Biostat 
2003 
385 
Perhaps the most useful approach for comparing 2 treatments when nonrandom dropouts occur 
Greenland S 
When should epidemiologic regressions use random coefficients? 
Biometrics 
2000 
915 
See this and this 
Nick TG, Hardin JM 
Regression Modeling Strategies: An Illustrative Case Study From Medical Rehabilitation Outcomes Research 
Am J Occ Therapy 
Sep 1998 
459 
This is like a minicourse in modeling. Helpful for Masters level (or anyone) working on the Puzzlers. 

Special Section: Opportunities and Challenges for the Discipline 
American Statistician 
Feb 2010 

This special section discusses some important issues facing our profession. 











