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Additional info for A stochastic model for extinction and recurrence of epidemics estimation and inference for measles o

Example text

2 PROPERTIES OF RANDOMIZATION 33 teristics in each group and therebyfacilitates causal inference. If the number of subjects in a randomized study is large, it is unlikely that the two groups differ with respect to any characteristic that can affect the outcome under study, whether or not these characteristics are known to the investigators. To illustrate this property, we consider a hypothetical study to determine whether drug X is effective, as compared to drug Y,in reducing blood pressure for patients with hypertension.

Forcing a Sequential Experiment to Be Balanced, Biometrika. 58,403-428. Feinstein, A. R. (1973), The Epidemiologic Trohoc, the Ablative Risk Ratio, and “Retrospective” Research, Clinical Pharmacology and Therapeutics, 14,291 -307. Fisher, R. A. (1925). Statistical Methods for Research Workers, London: Oliver & Boyd. Gilbert. J. , Light, R. , and Mosteller, F. (1975). Assessing Social Innovations: An Empirical Base for Policy, in C. A. Bennet and A. A. , Evaluation and Experiment: Some Critical Issues in Assessing Social Programs, New York: Academic Press.

REFERENCES 45 Committee for the Assessment of Biometric Aspects of Controlled Trials of Hypoglycemic Agents ( I 975). Report, Journal of the American Medical Association, 231, 583-608. Cornfield, J. (1971). The University Group Diabetes Program: A Further Statistical Analysis of the Mortality Findings, Journal of the American Medical Association, 217, 1676-1687. Cox, D. R. (1 958), Planning of Experiments. New York: Wiley. Dorn, H. F. (1959). Some Problems Arising in Prospective and Retrospective Studies of the Etiology of Disease, The New England Journal of Medicine, 261 (1 2).

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A stochastic model for extinction and recurrence of epidemics estimation and inference for measles o by Finkenstadt B. F.


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