Revised Estimation of New Drug Product Approval Probabilities in Phased Clinical Trials

Article ID

V1Y28

Revised Estimation of New Drug Product Approval Probabilities in Phased Clinical Trials

Matthew Chukwuma Michael; Oyeka I. C. A
Matthew Chukwuma Michael; Oyeka I. C. A
;  Ajibabe Bright
; Ajibabe Bright
DOI

Abstract

This paper proposes and presents a method for the estimation of approval probabilities of new drug or product. The proposed method assumes that three evaluation communities are used to assess and evaluate the quality of a new drug or product and that the evaluation is done by the committees in three period phased clinical trials of the drug or product using matched samples of subjects at each phase. Estimates of absolute and conditional approval probabilities by various combination evaluation committees at each phase of clinical trials are provided. Test statistics are also developed testing desired hypothesis at each of the phased clinical trials. The proposed method is illustrated with some sample data. It is shown in terms of estimated probability that it is more difficult for all three evaluation committees to be in complex agreement to approve or not approve a new drug or product than for fewer evaluation committees to grant approval.

Revised Estimation of New Drug Product Approval Probabilities in Phased Clinical Trials

This paper proposes and presents a method for the estimation of approval probabilities of new drug or product. The proposed method assumes that three evaluation communities are used to assess and evaluate the quality of a new drug or product and that the evaluation is done by the committees in three period phased clinical trials of the drug or product using matched samples of subjects at each phase. Estimates of absolute and conditional approval probabilities by various combination evaluation committees at each phase of clinical trials are provided. Test statistics are also developed testing desired hypothesis at each of the phased clinical trials. The proposed method is illustrated with some sample data. It is shown in terms of estimated probability that it is more difficult for all three evaluation committees to be in complex agreement to approve or not approve a new drug or product than for fewer evaluation committees to grant approval.

Matthew Chukwuma Michael; Oyeka I. C. A
Matthew Chukwuma Michael; Oyeka I. C. A
;  Ajibabe Bright
; Ajibabe Bright

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Matthew Chukwuma Michael. 2017. “. Global Journal of Science Frontier Research – F: Mathematics & Decision GJSFR-F Volume 17 (GJSFR Volume 17 Issue F5): .

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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Issue Cover
GJSFR Volume 17 Issue F5
Pg. 33- 49
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GJSFR-F Classification: MSC 2010: 97K80
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Revised Estimation of New Drug Product Approval Probabilities in Phased Clinical Trials

Matthew Chukwuma Michael; Oyeka I. C. A
Matthew Chukwuma Michael; Oyeka I. C. A
;  Ajibabe Bright
; Ajibabe Bright

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