Refereed Publications

Exact Confidence Limits Compatible with the result of a sequential trial. Journal of Statistical Planning and Inference 207, 171-176.

A comprehensive open-source library for exact required sample size in binary clinical trials. (with E. Ripamonti) Contemporary Clinical Trials 107.

Exact confidence limits after a group sequential single arm binary trial. Statistics in Medicine 38, 2389-2399.

Growing rich without growing old: the impact of internal migration in China (with Yip and Chen). Asian Population Studies 16(2), 183-200.

Barnard’s concept of convexity and possible extensions. Reply to the Letter to the Editor (with Ripamonti) Pharmaceutical Statistics 19, 353.

Tests for non-inferiority trials with binomial endpoints: A guide to modern and quasi-exact methods for biomedical researchers.(with Ripamonti) Pharmaceutical Statistics 18(3), 377−387.

An analysis of future age and labour force profiles and implications for rapidly changing economies: the Hong Kong experience. (with Kwok and Yip) Journal of the Royal Statistical Society Series A.

An exhaustive numerical assessment of alternative unconditional tests of a binary treatment effect. (with E. Ripamonti) Journal of Statistical Computation and Simulation 88, 2150−2169.

A note on the area under the gains chart. International Journal of Statistics in Medical Research, 7, 66−69.

A new method of identifying target groups for pronatalist policy applied to Australia. (with M. Chen and P. Yip) PLos One 13.

Contemporary views of the 2×2 binomial trial. Statistical Science 32, 600-615. (with E.Ripamonti)

Accurate and powerful p-values for adaptive designs with binary endpoints (with Heritier and Lo). Statistics in Medicine, 36, 2643– 2655.

On the accuracy of combination tests. Australian and NZ Journal of Statistics 59, 275-287.

Computing exact 1-sided confidence limits for treatment effect in clinical trials. Communications in Statistics, 46, 795-805.

Importance accelerated Robbins-Monro recursion with applications to parametric confidence limits (with Z. Botev). Electronic Journal of Statistics 9(2), 2058-2075.

On the exact size of tests of treatment effects in multi-arm clinical trials. Australian and NZ Journal of Statistics 56, 359-369.

Computing Highly Accurate Confidence Limits from Discrete Data using Importance Sampling. (with Degui Li) Statistics and Computing, 24, 663−673.

Aging population scenarios: An Australian Experience (with Kwok, R. and Yip,.S.F.P). Journal of Population Research 30, 335-345.

Accurate Confidence Limits for Stratified Clinical Trials. Statistics in Medicine 32, 3415−3423.

A numerical investigation of the accuracy of parametric bootstrap for discrete data. Computational Statistics and Data Analysis 61 1-6.

Some non−asymptotic properties of parametric bootstrap P−values in discrete models. Electronic Journal of Statistics 6, 2449−2462.

A practical ad−hoc adjustment to the Simes P−value. Statistics and Probability Letters 82, 1297−1302.

Computing Highly Accurate or Exact P−values using Importance Sampling. Computational Statistics and Data Analysis 56, 1784−1794.

Constructing more power exact tests of equivalence from binary matched pairs. (with M. Moldovan). Australian and NZ Journal of Statistics, 53, 27−42

Some comments on the article; On construction of the smallest one−sided confidence interval for the difference of two proportions. (with P. Kabaila) Annals of Statistics 39 1227−1243.

How close are alternative bootstrap P−values? Statistics and Probability Letters 80, 1972−1976.

Bootstrap and second order tests of risk difference. Biometrics 66, 975–982.

P−values based on approximate conditioning and P*. Journal of Statistical Planning and Inference 140, 1073−1081.

Exact tests based on pre−estimation and second order pivotals: non−inferiority trials Journal of Statistical Computation and Simulation 80, 841−851.

Evaluating the performance of in−house legal teams. In Leadership & Management Challenges of In−house Legal Counsel, LexisNexis Melbourne. (with B. Tabalujan).

The economic value of improved environmental health for Victorian Rivers (with Bennett, Dumsday, Howell, Sturgess and van Raalte) Australasian Journal of Environmental Management 15, 138−148.

More powerful exact tests of binary matched pairs. Statistics and Probability Letters 78, 2592−2596.

More powerful exact tests of non-inferiority from binary matched pairs data (with M. Moldovan). Statistics in Medicine 27, 3540−3549

Exact P−values for Discrete Models obtained by Estimation and Maximisation. Australian and New Zealand Journal of Statistics, 50, 329−346.

A New Exact and More Powerful Unconditional Test of no Treatment Effect from Binary Matched Pairs. Biometrics 64 716−723.

Multinomial Logistic Regression: An Application to Estimating Performance of a Multiple Screening Test for Bowel Cancer when Negatives are Unverified. (with D.J. Frommer). Journal of the Royal Statistical Society C57, 89−102.

Unconditional efficient upper limits for the odds ratio based on conditional likelihood (with M.Moldovan). Statistics in Medicine 26, 5136−5146.

Exact Confidence Bounds for the Risk Ratio in 2×2 tables with Structural Zero (with M.Moldovan) Biometrical Journal 49, 952−963.

Efficient and Exact Tests of the Risk Ratio in a Correlated 2×2 Table with Structural Zero. Computational Statistics and Data Analysis 51, 3765−3775.

Exact one−sided confidence limits for the difference between two correlated proportions (with M. Moldovan). Statistics in Medicine 26, 3369−3384.

Improved Buehler limits based on refined designated statistics (with P. Kabaila). Journal of Statistical Planning and Inference 136, 3145−3155.

Monotonicity of likelihood support bounds for system failure rates. Statistics and Probability Letters 73, 91−97.

A simple measure of the efficiency of Buehler limits. (with P. Kabaila) Communications in Statistics, Theory and Methods, 34, 767−774.

On comparing the accuracy of competing tests of the same hypotheses from simulation data. Journal of Statistical Planning and Inference 128, 497−508.

Toward a general theory of competitive performance: Comments and extensions on Powell (with T. Powell). Strategic Management Journal 26, 385−394.

Estimating test power adjusted for size. Journal of Statistical Computation and Simulation 11, 921−934.

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.

Estimating the False Negative Fraction for a Multiple Screening test for Bowel Cancer when Negatives are not Verified (with D. Frommer). Australian and New Zealand Journal of Statistics, 46, 531−542.

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.

Buehler confidence limits and nesting. (with P. Kabaila). Australian and New Zealand Journal of Statistics, 46, 463−469.

The efficiency of Buehler confidence limits. (with P. Kabaila). Statistics and Probability Letters, 65, 21−28.

On the optimality and limitations of Buehler bounds. (with P. Kabaila). Australian and New Zealand Journal of Statistics, 45, 167−174.

Estimation of a convex ROC curve. Statistics and Probability Letters, 59, 99−111.

The Importance of the Designated Statistic on Buehler Upper Limits on a System Failure Probability (with P. Kabaila). Technometrics 44, 390−395.

Semi−parametric estimation of ROC curves based on binomial regression modelling. Australian and New Zealand Journal of Statistics, 44, 193−204.

Estimation of population size from biased samples using non−parametric binary regression. (with S.X. Chen) Statistica Sinica, 12, 505−518.

A comparison of suicide patterns in Australia and Hong Kong. (with Paul Yip) Journal of the Royal Statistical Society, A164, 467−483.

When do best confidence limits exist? (with P. Kabaila) Statistics and Probability Letters, 50, 115−120.

Non−parametric density estimation from biased data. (with M.C. Jones) Journal of the American Statistical Association, 95, 865−877.

Regression models for convex ROC curves. Biometrics, 56, 862−867.

Maximum likelihood estimation of mis−classification rates of a binomial regression. Biometrika, 87, 700−705.

A non−parametric approach to the analysis of two−stage mark−recapture experiments. (with S.X. Chen) Biometrika, 87, 633−649.

Fitting ROC curves using non−linear binomial regression. Australian and New Zealand Journal of Statistics, 42, 193−204.

A computable confidence upper limit from discrete data with good coverage properties. (with P. Kabaila) Statistics and Probability Letters, 47., 189−198.

Profile upper confidence limits for discrete data. (with P. Kabaila) Australian and New Zealand Journal of Statistics, 42, 67−80.

Estimating the number of errors in a system: the relative efficiency of removal, recapture and seeded errors methods. (with P. Yip) IEEE Transactions in Reliability, 48, 369−376.

Kernel estimators of the ROC curve are better than empirical. (with Y. Zhou) Statistics and Probability Letters, 44, 221−228.

Choosing sample size for recapture experiments with behavioural response. (with Y. Chaiyapong) Australian and New Zealand Journal of Statistics, 41, 299−304.

Estimating a frequency distribution when the sampling is biased. Communications in Statistics A, 28, 1115−1132.

The use of smoothed ROC curves to summarise and compare diagnostic systems. Journal of the American Statistical Association, 93, 1356−1364.

Efficient estimation for partially observed birth−death processes. (with A.M. Hasofer) Stochastic Models, 14, 1073−1089.

A comparison of recapture, removal and resighting designs for population size estimation. (with P. Yip and K. Chan) Journal of Statistical Planning and Inference 71, 363−375.

Improved efficiency for recapture experiments from auxiliary experimentation}. Journal of Statistical Planning and Inference 67, 29−44.

Estimating population size: the relative efficiency of resighting, removal and recapture methods − with discussion. Proceedings of the 51st Conference of the International Statistical Institute, State Institute of Statistics, Ankara, Turkey, p229−232.

Statistical comparison of diagnostics using ROC curves. Proceedings of the International Symposium on Theoretical Biophysics and Bio−mathematics, Inner Mongolia University Press, 201−207.

Tight upper confidence limits from discrete data, (with Paul Kabaila) Australian Journal of Statistics 39, 193−204.

Accurate inference for recapture experiments with behavioural response, (with Chaiyapong) Journal of Statistical Computation and Simulation 56, 97−115.

Ancillary Statistics. In Encyclopaedia of Statistical Sciences, Update Volume 1, 23−30. John Wiley & Sons, New York. (with Williams and Yip)

Statistical analysis of the Hong Kong Legistative Council election results, (with P.S.F. Yip). Asian Journal of Public Administration 18, 119−133.

Improved inference for recapture experiments with behavioural response through modelling and auxiliary experimentation (with Chaiyapong), Australian Journal of Statistics, 38, 317−331.

Estimating response attributable to a continuous covariate from retrospective studies. Biometrika, 83, 563−573.

Accurate pivotals in recapture studies with time variation, Biometrika, 83, 700−708.

Effects of water potential on germination of horehound seeds from two Australian localities (with Lippai, Smith, Price and Weiss), Weed Science, 44, 91−99.

Accurate confidence intervals from capture experiments. Communications in Statistics A, 24(5), 1235−1253.

Encounters with statistical inference − an interview with Evan Williams. Australian Journal of Statistics, 36, 133−152. (with G.M.Laslett and G.K.Robinson)

Approximate pivots from M−estimators. Statistica Sinica, 4, 701−714.

Efficiency of martingale methods in recapture studies. Biometrika, 81, 305−315.

Estimating the relative risk of accident involvement as a function of the driver’s blood alcohol content. In: International Perspectives on the Rate of Alcohol Involvement in Highway Crashes, edited by Paul Zador, 19−32, Los Angeles: Alcohol Information Service/Alcohol Drugs and Driving.

Testing recapture model Mt for departures from heterogeneity. Journal of Statistical Computation and Simulation, 46, 35−44.

Modified martingale estimation for recapture experiments with heterogeneous capture probabilities. Biometrika, 79, 833−836.

Testing capture homogeneity in a recapture model, Biometrika, 79, 555−562.

Effective conditioning, Australian Journal of Statistics, 34, 24 1−260.

Alcohol and fatal road accidents: Estimates of risk in Australia 1983. Accident Analysis and Prevention, 24, 339−348.

A unification of inference on capture recapture studies through martingale estimating functions in Estimating Functions edited by V.P. 10 Godambe, 65−88 (with Paul S. F. Yip).

Asymptotic expansions of the information in a mean. Statistics and Probability Letters, 11, 133−137.

The comparison of accident counts up to the present date. Journal of Safety Research, 21, 75−78.

Confidence intervals from the difference between two correlated proportions. Journal of the American Statistical Association, 85, 1154.

Estimating the effect of alcohol on the risk of a fatal road accident. Journal of the Royal Statistical Society, A153, 29−52.

Some further results on recursive random splitting. Journal of Applied Probability, 26, 466−476.

Doubling the 1−sided P−value, Statistics in Medicine, 7, 1297−1306.

On recursive random splitting when the proportions are identical and independent random variables Stochastic Processes and their Applications, 27, 111−122. (with E.J. Williams)

Bivariate normal transformation models. Scandinavian Journal of Statistics,15,177−185.

Applications and extensions of Basu’s results on maximal ancillary sigma fields. Australian Journal of Statistics, 30, 163−173.

Some issues arising from the analysis of 2×2 contingency tables. Australian Journal of Statistics, 30, 35−46.

Optimal martingale estimating equations in a stochastic process. Statistics and Probability Letters, 5, 381−387.

Optimality of marginal likelihood estimating equations. Communications in Statistics A, 16, 1733−1742.

Pivotal quantities based on the conditional distribution function transform in models with accessory parameters. Communications in Statistics A, 16, 361−374.

Contribution to discussion of `Parameter orthogonality and conditional inference’ by D.R.Cox & N.Reid in Journal of the Royal Statistical Society B49, 1−39.

Ancillaries sufficient for the sample size. Australian Journal of Statistics, 27, 264−272.

On external ancillarity. Australian Journal of Statistics, 27, 202−220.