
My
bachelor's degree was in Mathematics from the University
of Washington, Seattle
in 1972, I received a Master's Degree in Statistics from the California
State University
as Hayward in 1974, and a Ph.D. in Statistics
with a minor in Mathematics from the University
of Minnesota, Minneapolis
in 1979. I joined the Department of
Statistics at UC Davis in 1979 and was chair of the graduate group in Epidemiology at
UCD from 1997 to 2002. I joined the Department of Statistics at UC Irvine in
2005. I retired from from teaching at UCI in 2016, which leaves me with time
to write books and papers as if I were on a permanent sabbatical, which is wonderful.
My research interests are eclectic. I am mainly interested in developing
Bayesian statistical methods for biostatistical and epidemiologic applications.
I am currently involved with collaborative efforts to develop Bayesian
nonparametric and semiparametric methods in survival analysis, longitudinal
analysis and joint modeling of survival and longitudinal data. I also
work on diagnostic screening protocols and methodology when no gold standard
test is available. This includes ROC curve estimation, development of
models and methods for longitudinal screening data including changepoint
models that account for disease occurrence during the study, and general
methods for combining information to improve diagnosis. I have also
been involved with the development of risk analysis models, sample size
determinations in the context of risk assessment and models, longitudinal and
spatial methods for predicting global foot and mouth disease, and for the
analysis of hormone profile data. I also have a general interest and
expertise in the areas of regression diagnostics, prediction, multivariate analysis, models for correlated binary data, asymptotics and Markov chain Monte Carlo methods. I am a
fellow of IMS, ASA and RSS. My curriculum vitae gives more details.
At UCI, I have taught courses on longitudinal data analysis (STA 212), undergraduate
probability (STA 120A), masters
level probability and statistical theory (STA 200ABC), Multivariate
Analysis (STA 240), Introductory Bayesian Ideas and Data Analysis (STA205),
Bayesian Theory, Methods and Data analsysis (STA 225), Bayesian
Nonparametrics (STA 226) and Ph.D. level Probability and Mathematical
Statistics (220AB).
I have written a Bayesian book with my friends Adam Branscum, Ron Christensen
and Tim Hanson. The book is intended for a broad audience of graduate
students in all areas of science, including Statistics. You can find
information about the book at http://www.ics.uci.edu/~wjohnson/BIDA/BIDABook.html.
My permanent home in Winters and my pals, the Taj Mahal, and Crete,
