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Evaluating Traditional Bonesetting Interventions: A Methodological Review and Framework for Clinical Research. [PDF]
CureusHua JA +7 more
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Beyond Detection Limits: Integrated Biosensors for Molecular Diagnostics, Longitudinal Monitoring, and Clinical Translation. [PDF]
Biosensors (Basel)Roy N, Powers M, Gonzalez M, Cucullo L.
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Calcutta Statistical Association Bulletin, 1983
In the present paper Repeated Measurement Designs (RMD's) have been studied under mixed effects model, assuming unit effects to be random and most of the optimality results of RMD's proved under fixed effects model by Hedayat et. al (1978), Magda (1980) and Cheng et. al (1980) have been reestablished in the context of mixed effects model.
Mukhopadhyay, A. C., Saha, Rita
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In the present paper Repeated Measurement Designs (RMD's) have been studied under mixed effects model, assuming unit effects to be random and most of the optimality results of RMD's proved under fixed effects model by Hedayat et. al (1978), Magda (1980) and Cheng et. al (1980) have been reestablished in the context of mixed effects model.
Mukhopadhyay, A. C., Saha, Rita
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On balancing in repeated measurements designs
Model Assisted Statistics and Applications, 2006An introspection of various criterions to define balanced Repeated Measurements Designs (RMD’s) in literature was carried out. It is proved that the VIIth condition in the definition of Patterson [4] is implied by the other six conditions, hence VIIth condition is not required and the remaining six conditions are sufficient conditions for defining the ...
Manjit Singh Virk, Amrit Kaur Mahal
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Repeated Measurement Designs with Random Selections
Biometrics, 1993We consider repeated measurement designs with a single group as well as with multiple groups. Conventionally, the repeated measurements are made at fixed, often evenly spaced times. The first and second moment conditions needed for an exact F test are not satisfied in general, but with random permutation of the times, a probability measure results that
Laster, Larry L., Pickands, James III
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Crossover Designs and Repeated Measurements
Neuropsychobiology, 2008In crossover or changeover designs, the different treatments are allocated to each experimental unit (e.g. patient in clinical trial) in a randomized order. To analyze the results of such experiments, a mixed analysis of variance model is usually assumed.
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Balanced repeated measurements designs
Biometrika, 1983SUMMARY Repeated measurements designs are concerned with scientific experiments in which each experimental unit is assigned more than once to a treatment, either different or identical. An easy method of constructing balanced minimal repeated measurements designs when p, the number of periods, is less than t, the number of treatments, is given.
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1989
In the preceding Chapters, we dealt with optimality aspects of traditional block designs and/or row-column designs, assuming fixed/mixed effects models. In many fields of scientific investigations, experiments are to be designed in such a manner that each experimental unit (eu) receives some or all of the treatments, one at a time, over a certain ...
Kirti R. Shah, Bikas K. Sinha
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In the preceding Chapters, we dealt with optimality aspects of traditional block designs and/or row-column designs, assuming fixed/mixed effects models. In many fields of scientific investigations, experiments are to be designed in such a manner that each experimental unit (eu) receives some or all of the treatments, one at a time, over a certain ...
Kirti R. Shah, Bikas K. Sinha
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Outlier detection in a repeated measure design
Quality and Reliability Engineering International, 2023AbstractThis paper considered the problem of outlier detection in a repeated measure design (RMD) using the Estimate distance and the Liu and Weng's residual methods. The comparative performance of the two methods in identifying outlier in a RMD was evaluated through empirical and simulation studies.
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ANALYSIS OF REPEATED MEASURES AND OTHER DESIGNS
Multivariate Behavioral Research, 1974For small and balanced analysis of variance problems, standard computer programs are convenient and efficient. For large problems, regression pro- grams are at least competitive with analysis of variance programs; and, when a problem is unbalanced, they usually provide the only reasonable solution.
T L, Dickinson, L, Wolins
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