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Trends in Bioinformatics
  Year: 2018 | Volume: 11 | Issue: 1 | Page No.: 44-55
DOI: 10.3923/tb.2018.44.55
Missing Data in Clinical Trials: Stratified Singh and Grewal’s Randomized Response Model Using Geometric Distribution
Tanveer Ahmad Tarray and Housila P. Singh

Abstract:
Background and Objectives: Singh and Grewal’s model estimates the population proportion on stratified sampling schemes. The crux of this paper was to develop a new stratified Singh and Grewal’s model using Geometric Distribution. Materials and Methods: The equilibrium point of the model was investigated and a new stratified sampling and stratified double sampling randomized response model based on Singh and Grewal’s model using geometric distribution was proposed. Results: This study showed that the proposed method is more efficient than the one recently envisaged by Singh and Grewal’s model. Numerical illustrations and graphical representations are also given in support of the present study. Conclusion: A new dexterous stratified randomized response model has been proposed and shown theoretically as well as numerically that the proposed model is more efficient than Singh and Grewal’s randomized response model.
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How to cite this article:

Tanveer Ahmad Tarray and Housila P. Singh, 2018. Missing Data in Clinical Trials: Stratified Singh and Grewal’s Randomized Response Model Using Geometric Distribution. Trends in Bioinformatics, 11: 44-55.

DOI: 10.3923/tb.2018.44.55

URL: https://scialert.net/abstract/?doi=tb.2018.44.55

 
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