Recommended Reading

In Reverse Chronological Order by Date of Publication

Authors Title Journal Issue Page Comments
Jones RH
Stat in Med
Nov 10 2011
3050
Useful effective sample sizes for different correlation patterns including AR1 and unequal measurement times
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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 trans-disciplinary and how this should affect training; in one experiment a multi-disciplinary approach did not benefit students early in their programs
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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
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Wingspan Productions
Broadcast by BBC
 
 
Hans Rosling says there’s nothing boring about stats, and then goes on to prove it. A one-hour long documentary produced by Wingspan Productions and broadcast by BBC, 2010.
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Lehrer, J
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=in-praise-of-scientific-error-2010-12-20 this
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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
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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
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Divine G, Kapke A et al
Exemplary data set sample size calculation for Wilcoxon-Mann-Whitney 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
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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
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London AJ, Kimmelman J, Emborg ME
Science
May 14 2010
829
Harm to science of badly designed or badly motivated studies
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Tu Y-K, 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
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Pocock SJ, Ware JH
Translating statistical findings into plain English
Lancet
Jun 6 2009
1926
Concise reference on how to word results from P-values and confidence limits in medical papers
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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
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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
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Sonnenburg et al
J Machine Learning Res
2007
2443
Excellent summary of benefits of open source and of various licenses
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Palmer CR, Shahumyan H
Implementing a decision-theoretic design in clinical trials:Why and how?
Stat in Med
30 Nov 2007
4939
Benefits of a decision-theoretic approach to clinical trials;excellent summary of ethical issues;first known clinical trial; data-dependent design; software
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Campbell I
Chi-squared and Fisher-Irwin tests of two-by-two 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 N-1 instead of N in formula for Pearson chi-square. See DataAnalysisDisc
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Louis T
Our future as history
Biometrics
March 2007
1
A nice article about the future and challenges of biostatistics
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Royston P, Altman D, Sauerbrei W
Stat in Med
15 Jan 2006
127
Covers all the terrible problems caused by dichotomization
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Wang A, Gehan EA
Stat in Med
15 Jul 2005
2069
Data reduction method of potentially great use in gene microarray analysis and many other areas
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Morton S
Stat in Med
28 Feb 2005
493
Definitions of consulting and collaboration, excellent case studies where a statistician made a fundamental impact
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Senn S
Stat in Med
30 Dec 2005
3729
Interesting discussion on randomization and covariate-balanced randomization, blocking, covariate adjustment, choice of metrics, history
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Efron B
Statistics and the rules of science
Amstat News
July 2004
2
Excellent summary of the scientific process
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Dufouil C, Brayne C, Clayton D
Stat in Med
Jul 2004
2215
Good overview, discusses problems in targeting immortal subjects
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Hogan J, Roy J, Korkontzelou C
Stat in Med
May 2004
43
Excellent tutorial on nonrandom dropout
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Mason RL
JASA
Mar 2004
1
Strong case for certification of statisticians
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Brumback BA, Hernan MA, Haneuse SJPA, Robins JM
Stat in Med
Mar 2004
747
 
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Lin DY, Ying Z
Biostat
2003
385
Perhaps the most useful approach for comparing 2 treatments when nonrandom dropouts occur
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Greenland S
Biometrics
2000
915
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Nick TG, Hardin JM
Am J Occ Therapy
Sep 1998
459
This is like a mini-course in modeling. Helpful for Masters level (or anyone) working on the Puzzlers.
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American Statistician
Feb 2010
 
This special section discusses some important issues facing our profession.
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This list is intended to point faculty and staff to articles written by persons outside Vanderbilt that may be of interest.
Topic revision: r44 - 15 Jul 2014, FrankHarrell
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