J. Gittins

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Multi‐Armed Bandit Allocation Indices

J. Bather, J. Gittins, 1990 .

Bandit processes and dynamic allocation indices

J. Gittins, 1979 .

A dynamic allocation index for the discounted multiarmed bandit problem

J. Gittins, D. M. Jones, 1979 .

On Bayesian models in stochastic scheduling

J. Gittins, K. Glazebrook, 1977, Journal of Applied Probability.

Prediction of Biological Activity for High-Throughput Screening Using Binary Kernel Discrimination.

J. Gittins, A. Leach, John Bradshaw, 2001 .

Prediction of Biological Activity for High-Throughput Screening Using Binary Kernel Discrimination

Darren V. S. Green, Andrew R. Leach, Gavin Harper, 2001, J. Chem. Inf. Comput. Sci..

The Learning Component of Dynamic Allocation Indices

J. Gittins, You‐Gan Wang, 1992 .

Multi-Armed Bandit Allocation Indices: Gittins/Multi-Armed Bandit Allocation Indices

Kevin D. Glazebrook, Richard Weber, John Gittins, 2011 .

A hamiltonian approach to optimal stochastic resource allocation

J. Gittins, P. Nash, 1977, Advances in Applied Probability.

A forwards induction approach to candidate drug selection

J. Gittins, S. Qu, 2011, Advances in Applied Probability.

The performance of forwards induction policies

J. Gittins, K. Glazebrook, 1993 .

Sequential Selection of the Larger of Two Normal Means

J. Gittins, L. Hayre, 1981 .

A behavioral Bayes method to determine the sample size of a clinical trial considering efficacy and safety

J. Gittins, Takashi Kikuchi, 2009, Statistics in medicine.

Factors Influencing the Profitability of Pharmaceutical Research

J. Gittins, C. Charalambous, 2008 .

A note on gittins indices for pharmaceutical research

J. Gittins, You‐Gan Wang, 1991, Advances in Applied Probability.

OPTIMAL RESOURCE ALLOCATION IN CHEMICAL RESEARCH

J. Gittins, 1969 .

A Fully Bayesian Criterion for Sample Size Determination in Clinical Trials

J. Gittins, H. Pezeshk, 2022 .

An Analysis of a Multi-Line Re-Order System Using a Can-Order Policy

J. Gittins, M. Maher, R. Morgan, 1973 .

Superprocesses, Precedence Constraints and Arrivals

Richard Weber, John Gittins, Kevin D. Glazebrook, 2011 .

A behavioural Bayes approach to the determination of sample size for clinical trials considering efficacy and safety: imbalanced sample size in treatment groups

J. Gittins, Takashi Kikuchi, 2011, Statistical methods in medical research.

Optimal resource allocation in chemical research

J. Gittins, 1969, Advances in Applied Probability.

The choice of sample size: a mixed Bayesian / frequentist approach

J. Gittins, N. Nematollahi, H. Pezeshk, 2009, Statistical methods in medical research.

New Measures of Financial Risk, Motivated by Pharmaceutical Research

J. Gittins, Anne‐Marie Oreskovich, 2021, International Journal of Economics, Finance and Management Sciences.

Bayesian sample size calculation for estimation of the difference between two binomial proportions

J. Gittins, P. Marriott, N. Nematollahi, 2013, Statistical methods in medical research.

Observations on a result in sequential analysis by P. Whittle

J. Gittins, 1973, Journal of Applied Probability.

A generalised incomplete beta function and its application to multi-line stock control

J. Gittins, M. Maher, 1973, Journal of Applied Probability.

On Single-Machine Scheduling with Precedence Relations and Linear or Discounted Costs

Kevin D. Glazebrook, J. C. Gittins, J. Gittins, 1981, Oper. Res..

A DECISION THEORETIC APPROACH TO SAMPLE SIZE DETERMINATION IN CLINICAL TRIALS

H Pezeshk, J. Gittins, H. Pezeshk, 2002, Journal of biopharmaceutical statistics.

A Behavioral Bayes Method for Determining the Size of a Clinical Trial

John Gittins, Hamid Pezeshk, J. Gittins, 2000 .

The value of measurements in the study of wader migration, with particular reference to the Oystercatcher

J. Gittins, E. White, 1964 .

A Bayesian cost–benefit approach to the determination of sample size in clinical trials

Hamid Pezeshk, John Gittins, J. Gittins, 2008, Statistics in medicine.

Electrical stimulation as a therapeutic option to restore eyelid movements in patients with seventh nerve damage

J. Gittins, 1999 .

A behavioural Bayes approach for sample size determination in cluster randomized clinical trials

John Gittins, Takashi Kikuchi, J. Gittins, 2010 .

A Generalization of a Result in Linear Programming

J. Gittins, 1967 .

A Fully Bayesian Approach to Calculating Sample Sizes for Clinical Trials with Binary Responses

Hamid Pezeshk, John Gittins, J. Gittins, 2002 .

Scheduling, Queues and Dynamic Allocation Indices

P. Nash, John Gittins, J. Gittins, 1977 .

Forwards Induction and Dynamic Allocation Indices

J. C. Gittins, J. Gittins, 1982 .

International Symposium on Combinatorial Optimization 2012 Program Committee Invited Plenary Speakers Organizing Committee Welcome to Co 2012

J. Gittins, C. McDiarmid, F. Rendl, 2022 .

Optimal selection policies for a sequence of candidate drugs

J. C. Gittins, J. Gittins, C. Charalambous, 2008, Advances in Applied Probability.

A Cost-Benefit Approach to the Amount of Experimentation in Clinical Trials

J. Gittins, H. Pezeshk, 2006 .

The Evaluation of Risk in Pharmaceutical Research: A Study of Current Models and Techniques

J. Gittins, Anne‐Marie Oreskovich, 2016 .

A Behavioural Bayesian Method for Sample Size Determination in Clinical Trials

J. Gittins, H. Pezeshk, 1999 .

A HAMILTONIAN APPROACH TO OPTIMAL

J. C. Gittins, J. Gittins, P. Nash, 1977 .

Quantitative Methods in the Planning of Pharmaceutical Research

John Gittins, J. Gittins, 1996 .

Electrical stimulation as a therapeutic option to restore eyelid movements in patients with seventh nerve damage

J. Gittins, 1999 .