DOWNLOAD RESEARCH ARTICLES AND SOFTWARE
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On external ancillarity. Australian Journal
of Statistics, 27, 202-220.
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Some issues arising from the analysis of 2x2
contingency tables. Australian Journal of Statistics, 30, 35-46.
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Applications and extensions of Basu's results on
maximal ancillary sigma fields. Australian Journal of Statistics, 30,
163-173.
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Doubling the 1-sided P-value, Statistics in
Medicine, 7, 1297-1306.
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PDF
Estimating the effect of alcohol on the risk of
a fatal road accident. Journal of the
Royal Statistical Society A, 153,
29-52.
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Confidence intervals from the difference between
two correlated proportions. Journal of
the American Statistical Association, 85,
1154.
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Effective conditioning, Australian Journal of
Statistics, 34, 241-260.
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Testing capture homogeneity in a recapture
model, Biometrika, 79, 555-562.
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Modified martingale estimation for recapture experiments
with heterogeneous capture probabilities. Biometrika, 79, 833-836.
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Efficiency of martingale methods in recapture
studies. Biometrika, 81, 305-315.
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Accurate pivotals in recapture studies with time
variation, Biometrika, 83, 700-708.
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Estimating response attributable to a continuous
covariate from retrospective studies. Biometrika, 83, 563-573.
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The use of smoothed ROC curves to summarise and
compare diagnostic systems. Journal of
the American Statistical Association, 93,
1356-1364.
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Choosing sample size for recapture experiments
with behavioural response. (with Y. Chaiyapong) Australian and
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Kernel estimators of the ROC curve are better
than empirical. (with Y. Zhou) Statistics and Probability Letters, 44,
221-228.
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Profile upper confidence limits for discrete
data. (with P. Kabaila) Australian and
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A computable confidence upper limit from
discrete data with good coverage properties. (with P. Kabaila) Statistics
and Probability Letters, 47, 189-198.
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Fitting ROC curves using non-linear binomial
regression. Australian and
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A non-parametric approach to the analysis of
two-stage mark-recapture experiments. (with S.X. Chen) Biometrika, 87,
633-649.
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Maximum likelihood estimation of mis-classification
rates of a binomial regression. Biometrika, 87, 700-705.
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Regression models for convex ROC curves. Biometrics, 56, 862-867.
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Non-parametric density estimation from biased
data. (with M.C. Jones) Journal of the
American Statistical Association, 95, 865-877.
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When do best confidence limits exist? (with P.
Kabaila) Statistics and Probability Letters, 50, 115-120.
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A comparison of suicide patterns in
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Estimation of population size from biased
samples using non-parametric binary regression. (with S.X. Chen) Statistica
Sinica, 12, 505-518.
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Semi-parametric estimation of ROC curves based
on binomial regression modelling. Australian and
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The
Importance of the Designated Statistic on Buehler Upper Limits on a System
Failure Probability (with P. Kabaila). Technometrics 44,
390-395.
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Estimation
of a convex ROC curve. Statistics and Probability Letters, 59, 99-111.
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On
the optimality and limitations of Buehler bounds. (with P. Kabaila). Australian and
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The efficiency
of Buehler confidence limits. (with P. Kabaila). Statistics and Probability
Letters, 65, 21-28.
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Buehler
confidence limits and nesting. (with P. Kabaila). Australian and
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Regression Based Estimation of the False
Negative Fraction when Multiple Negatives are Unverified (with D. Frommer). Journal of the Royal Statistical Society C53, 619-631.
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Estimating the False Negative Fraction for a
Multiple Screening test for Bowel Cancer when Negatives are not Verified (with
D. Frommer). Australian and
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On comparing the accuracy of competing tests of
the same hypotheses from simulation data. J. Statist. Plan Inf. 128,
497-508.
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Toward a general theory of competitive
performance: Comments and extensions on Powell (with T. Powell). Strategic Management Journal 26, 385-394.
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Estimating test power
adjusted for size. J. Statistic. Comp. Sim. 11, 921-934.
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A simple measure of the efficiency of Buehler
limits. (with P. Kabaila) Communications
in Statistics, Theory and Methods, 34, 767-774.
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Buehler limits from approximate upper limits: a
numerical investigation of the role of nominal coverage. (with P. Kabaila). Journal of Applied Statistical
Science 13, 217-230.
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Monotonicity
of likelihood support bounds for system failure rates. Statistics and
Probability Letters 73, 91-97.
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Improved Buehler limits based on refined
designated statistics (with P. Kabaila). J. Statist. Plan Inf. 136, 3145-3155.
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Efficient and Exact Tests of the Risk Ratio in
a Correlated 2x2 Table with Structural Zero. Computational Statistics and Data Analysis 51, 3765-3775.
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Unconditional efficient upper limits for the
odds ratio based on conditional likelihood (with M.Moldovan). Statistics in Medicine 26, 5136-5146.
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A New Exact and More Powerful
Unconditional Test of no Treatment Effect from Binary Matched Pairs. Biometrics, 64, 716-723.
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The economic value if improved
environmental health for Victorian Rivers (with Bennett, Dumsday, Howell,
Sturgess and van Raalte) Australasian
Journal of environmental Management 15, 138-148
[2008] The economic value if improved environmental health for Victorian Rivers (with Bennett, Dumsday, Howell, Sturgess and van Raalte) Australasian Journal of environmental Management15, 138-148.
SOFTWARE:
·
R-workspace for calculating exact upper and lower
limits for difference in two probabilities from matched pairs data. Download HERE and type
“bcl()”
· Matlab functions
for calculating unconditional exact upper and lower limits for odds ratio in
two by two table. Download HERE.
·
R-workspace for calculating unconditional exact upper
and lower limits for risk ratio in two by two table with structural zero.
Download HERE and
type lower.limit() or upper.limit().