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Communications in Statistics - Theory and Methods Volume 12, 1983 - Issue 8
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Original Articles

Autoregressive models in clinical trials

M.T. Taka Department of Mathematics and Statistics, University of Mosul, Mosul, Iraq
&
P. Armitage Department of Biomathematics, University of Oxford, Pusey Street, Oxford, 0X1 2JZ, England
Pages 865-876 | Received 01 Jan 1982, Published online: 27 Jun 2007

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Jigneshkumar Gondaliya. (2021) Optimal minimal balanced crossover designs in first and second carryover effects. Communications in Statistics - Theory and Methods 50:17, pages 4119-4133.
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Uttam Bandyopadhyay, Joydeep Basu & Ganesh Dutta. (2015) Crossover design in clinical trials for binary response. Journal of Applied Statistics 42:10, pages 2100-2114.
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Jyoti Divecha & Jignesh Gondaliya. (2015) Estimation of Treatment and Carryover Effects in Optimal Cross-Over Designs for Clinical Trials. Statistics in Biopharmaceutical Research 7:2, pages 95-105.
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K. Afsarinejad. (1990) Repeated measurements designs - a review. Communications in Statistics - Theory and Methods 19:11, pages 3985-4028.
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P.S. Gill & G.K. Shukla. (1987) Optimal change-over designs for correlated observations. Communications in Statistics - Theory and Methods 16:8, pages 2243-2261.
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Articles from other publishers (6)

K.C. Carriere. 1998. Biotechnolgy Annual Review. Biotechnolgy Annual Review 215 238 .
J.N.S. Matthews. (1994) Modelling and optimality in the design of crossover studies for medical applications. Journal of Statistical Planning and Inference 42:1-2, pages 89-108.
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P.S. Gill. (2008) BALANCED CHANGE‐OVER DESIGNS FOR AUTOCORRELATED OBSERVATIONS. Australian Journal of Statistics 34:3, pages 415-420.
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Eric M. Chi. (2006) Recovery of inter‐block information in cross‐over trials. Statistics in Medicine 10:7, pages 1115-1122.
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Brajendra C. Sutradhar & Ian B. Macneill. (1991) Time series valued experimental designs: A review. Environmental Monitoring and Assessment 17:2-3, pages 167-180.
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Brajendra C. Sutradhar & Ian B. Macneill. 1991. Statistical Methods for the Environmental Sciences. Statistical Methods for the Environmental Sciences 89 102 .

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