Adedayo Adepoju | University of Ibadan (original) (raw)

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Papers by Adedayo Adepoju

Research paper thumbnail of EVALUATION OF SMALL SAMPLE ESTIMATORS OF OUTLIERS INFESTED SIMULTANEOUS EQUATION MODEL: A MONTE CARLO APPROACH

In practice, data collected in a broad range of applications frequently contain one or more atypi... more In practice, data collected in a broad range of applications frequently contain one or more atypical observations called outlier. A single outlier can have a large distorting influence on a classical statistical method that is optimal under the assumption of normality or linearity. Many estimation procedures proposed by researchers to handle simultaneous equation models are based on the assumptions that give little consideration to atypical data, thus the need to investigate the distorting effects of outliers in simultaneous equations estimation methods.

Research paper thumbnail of Clinical efficacy and health implications of inconsistency in different production batches of antimycotic drugs in a developing country

Journal of Pharmacy and Bioallied Sciences

This study aimed at evaluating the in vitro efficacy and health implications of inconsistencies i... more This study aimed at evaluating the in vitro efficacy and health implications of inconsistencies in different production batches of antimycotic drugs. in vitro susceptibility profiles of 36 Candida spp. - C. albicans (19.4%), C. glabrata (30.6%), C. tropicalis (33.3%), and C. pseudotropicalis (16.7%) - obtained from human endocervical and high vaginal swabs (ECS/HVS) to two different batches (B1 and B2) of six antimycotic drugs (clotrimazole, doxycycline, iconazole, itraconazole, metronidazole and nystatin) was determined using modified agar well-diffusion method. None of the Candida strains had entirely the same (100%) susceptibility / resistance profiles in both batches of corresponding antimycotic drugs; while, different multiple antifungal susceptibility (MAS) rates were also recorded in batches 1 and 2 for corresponding antifungals. Only 14.3%, 27.3%, 16.7-33.3%, and 8.3-25.0% of C. albicans, C. glabrata, C. pseudotropicalis, and C. tropicalis strains, respectively, had similar susceptibility/resistance profiles toward coressponding antifungal agents in both batches; while up to 57.1% of C. albicans, 45.5% of C. glabrata, 66.7% of C. pseudotropicalis, and 50.0% of C. tropicalis strains were susceptible to one batch of antifungals but resistant to corresponding antifungals in the second batch. As high as 71.4% (C. albicans), 73.0% (C. glabrata), 50.0% (C. pseudotropicalis), and 66.74% (C. tropicalis) strains had differences of ≥ 10.0 mm among corresponding antimycotic agents. Candida strains exhibited different in vitro susceptibility / resistance patterns toward two batches of corresponding antimycotic agents, which has clinical implications on the efficacy of the drugs and treatment of patients. The findings of the present study will be of benefit in providing additional information in support of submission of drugs for registration to appropriate regulatory agencies.

Research paper thumbnail of An Appraisal of Statistical Data Management in Nigeria: A Case for Reliable and Effective Statistical Information System

Research paper thumbnail of Sensitivity of Estimators to Three Levels of Correlation between Error Terms.

akamaiuniversity.us

A Monte Carlo simulation is employed to investigate the sensitivity of simultaneous equation tech... more A Monte Carlo simulation is employed to investigate the sensitivity of simultaneous equation techniques under different levels of correlation between random deviates. Three arbitrary levels of correlation between pairs of random deviates were assumed. Three small sample sizes were used in this experiment, N = 15, N=25 and N = 40 each replicated 100 times. A number of factors should be taken into account in choosing an estimation method. Although system methods are asymptotically most efficient in the absence of violation of mutual independence of random errors, system methods are more sensitive to any kind of error than single equation methods.

Research paper thumbnail of EVALUATION OF SMALL SAMPLE ESTIMATORS OF OUTLIERS INFESTED SIMULTANEOUS EQUATION MODEL: A MONTE CARLO APPROACH

In practice, data collected in a broad range of applications frequently contain one or more atypi... more In practice, data collected in a broad range of applications frequently contain one or more atypical observations called outlier. A single outlier can have a large distorting influence on a classical statistical method that is optimal under the assumption of normality or linearity. Many estimation procedures proposed by researchers to handle simultaneous equation models are based on the assumptions that give little consideration to atypical data, thus the need to investigate the distorting effects of outliers in simultaneous equations estimation methods.

Research paper thumbnail of Clinical efficacy and health implications of inconsistency in different production batches of antimycotic drugs in a developing country

Journal of Pharmacy and Bioallied Sciences

This study aimed at evaluating the in vitro efficacy and health implications of inconsistencies i... more This study aimed at evaluating the in vitro efficacy and health implications of inconsistencies in different production batches of antimycotic drugs. in vitro susceptibility profiles of 36 Candida spp. - C. albicans (19.4%), C. glabrata (30.6%), C. tropicalis (33.3%), and C. pseudotropicalis (16.7%) - obtained from human endocervical and high vaginal swabs (ECS/HVS) to two different batches (B1 and B2) of six antimycotic drugs (clotrimazole, doxycycline, iconazole, itraconazole, metronidazole and nystatin) was determined using modified agar well-diffusion method. None of the Candida strains had entirely the same (100%) susceptibility / resistance profiles in both batches of corresponding antimycotic drugs; while, different multiple antifungal susceptibility (MAS) rates were also recorded in batches 1 and 2 for corresponding antifungals. Only 14.3%, 27.3%, 16.7-33.3%, and 8.3-25.0% of C. albicans, C. glabrata, C. pseudotropicalis, and C. tropicalis strains, respectively, had similar susceptibility/resistance profiles toward coressponding antifungal agents in both batches; while up to 57.1% of C. albicans, 45.5% of C. glabrata, 66.7% of C. pseudotropicalis, and 50.0% of C. tropicalis strains were susceptible to one batch of antifungals but resistant to corresponding antifungals in the second batch. As high as 71.4% (C. albicans), 73.0% (C. glabrata), 50.0% (C. pseudotropicalis), and 66.74% (C. tropicalis) strains had differences of ≥ 10.0 mm among corresponding antimycotic agents. Candida strains exhibited different in vitro susceptibility / resistance patterns toward two batches of corresponding antimycotic agents, which has clinical implications on the efficacy of the drugs and treatment of patients. The findings of the present study will be of benefit in providing additional information in support of submission of drugs for registration to appropriate regulatory agencies.

Research paper thumbnail of An Appraisal of Statistical Data Management in Nigeria: A Case for Reliable and Effective Statistical Information System

Research paper thumbnail of Sensitivity of Estimators to Three Levels of Correlation between Error Terms.

akamaiuniversity.us

A Monte Carlo simulation is employed to investigate the sensitivity of simultaneous equation tech... more A Monte Carlo simulation is employed to investigate the sensitivity of simultaneous equation techniques under different levels of correlation between random deviates. Three arbitrary levels of correlation between pairs of random deviates were assumed. Three small sample sizes were used in this experiment, N = 15, N=25 and N = 40 each replicated 100 times. A number of factors should be taken into account in choosing an estimation method. Although system methods are asymptotically most efficient in the absence of violation of mutual independence of random errors, system methods are more sensitive to any kind of error than single equation methods.