出版物

Authors’ response to “Comment on adaptive increase in sample size when interim results are promising”.

Statistics in Medicine, 30(28), pp. 3302–3303.
Mehta, C.R. and Pocock, S.J.

Adaptive increase in sample size when interim results are promising: A practical guide with examples.

Statistics in Medicine, 30(28), pp. 3267–3284.

Mehta, C.R. and Pocock, S.J.

Efficient Monte Carlo methods for conditional logistic regression.

SJournal of the American Statistical Association, 95(449), p. 99.

Mehta, C.R., Patel, N.R. and Senchaudhuri, P.

Exact logistic regression: Theory and examples.

Statistics in Medicine, 14(19), pp. 2143–2160.

Mehta, C.R. and Patel, N.R.

Exact Permutational tests for group Sequential clinical trials.

Biometrics, 50(4), p. 1042.

Mehta, C.R., Patel, N.R., Senchaudhuri, P. and Tsiatis, A.

A network algorithm for performing Fisher’s exact test in r × c contingency tables.

Journal of the American Statistical Association, 78(382), p. 427.

Mehta, C.R. and Patel, N.R.

Repeated confidence intervals for adaptive group sequential trials.

Statistics in Medicine, 26, 5422-5433.

Mehta, C.R. Bauer, P., Posch, M. and Brannath, W.

Optimizing trial design; sequential, adaptive and enrichment strategies.

Statistical Primer for Cardiovascular Research, 119:597-605.

Mehta, C.R. Gao, P, Bhatt, DL, Harrington, RA, Skerjanec, S and Ware JH.

Exact inference for adaptive group sequential designs.

Statistics in Medicine, volume 32, 3991-4005.

Gao, P., Liu, L., and Mehta, C.R.

Biomarker driven population enrichment for adaptive oncology trials with time to event endpoints .

Statistics in Medicine, 33, 4515-4531.

Mehta, C.R., Schäfer, H., Daniel, H. and Irle, S.