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Articles by A.H.M.R. Imon
Total Records ( 5 ) for A.H.M.R. Imon
  H. Midi , A. Bagheri and A.H.M.R. Imon
  In this study, we proposed Robust Variance Inflation Factors (RVIFs) in the detection of multicollinearity due to the high leverage points or extreme outliers in the X-direction. The computation of RVIFs is based on robust coefficient determinations which we called RR2 (MM) and RR2 (GM (DRGP)). The RR2 (MM) is coefficient determination of high breakdown point and efficient MM-estimators whereas RR2 (GM (DRGP)) has been defined through an improved GM-estimators. The GM (DRGP) is a GM-estimator with the main aim as downweighting high leverage points with large residuals. It has been introduced by employing S-estimators as initial values, Diagnostic Robust Generalized Potential based on MVE (DRGP (MVE)) as initial weight function and an Iteratively Reweighted Least Squares (IRLS) has been utilized as a convergence method. The numerical results and Monte Carlo simulation study indicate that the proposed RVIFs are very resistant to the high leverage points and unable to detect the multicollinearity in the data especially RR2 (GM (DRGP)). Hence, this indicates that the high leverage points are the source of multicollinearity.
  A. Bagheri , Habshah Midi and A.H.M.R. Imon
  In this study, the effect of different patterns of high leverages on the classical multicollinearity diagnostics and collinearity-influential measure is investigated. Specifically the investigation is focus on in which situations do these points become collinearity-enhancing or collinearity-reducing observations. Both the empirical and the Monte Carlo simulation results, in collinear data sets indicate that when high leverages exist in just one explanatory variable or when the values of the high leverages are in different positions of the two explanatory variables, these points will be collinearity-reducing observations. On the other hand, these high leverages are collinearity-enhancing observations when their values and positions are the same for the two collinear explanatory variables.
  H. Midi , S. Rana and A.H.M.R. Imon
  In this study, we propose a Leverage Based Near-Neighbor (LBNN) method where prior information on the structure of the heteroscedastic error is not required. In the proposed LBNN method, weights are determined not from the near-neighbor values of the explanatory variables, but from their corresponding leverage values so that it can be readily applied to a multiple regression model. Both the empirical and Monte Carlo simulation results show that the LBNN method offers substantial improvement over the existing methods. The LBNN has significantly reduced the standard errors of the estimates and also the standard errors of residuals for both simple and multiple linear regression models. Hence, the LBNN can be established as one reliable alternative approach to other existing methods that deal with heteroscedastic errors when the form of heteroscedasticity is unknown.
  Mst. M. Begum , M.S. Rahman , R.R. Swarna , M. Das , A.H.M.R. Imon , I. Jahan , M. Rahman , Md. E. Haque , R.R. Saha , A.H.M. Quamruzzaman , Md. A. Obaida , M. Maniruzzaman , A. Islam , Md. T. Islam and A. Sarker
  Background and Objective: Combination of dosages regimen of an antidiabetic agent (Glibenclamide) with a lipid lowering drug can be an effective medication for the patient with high blood glucose level and liver enzyme disfunctionality. The present study was undertaken to investigate the effect of a fixed dose combination of glibenclamide (1.2 mg/70 kg b.wt.) and simvastatin (10 mg/70 kg b.wt.) on blood glucose and liver enzymes dysfuntionality in alloxan-induced diabetic rats for an extended time period. Materials and Methods: Two protocols were developed to carry out the experiment. The first is designated as 4 weeks short-term and second one is termed as 12 weeks long-term treatment protocols, respectively. Diabetes Mellitus (DM) was induced by single intraperitoneal (i.p.) injection of freshly prepared alloxan solution in 0.9% saline. Diabetic rats received treatment with i.p., injection of glibenclamide (1.2 mg/70 kg b.wt.) and simvastatin (10 mg/70 kg b.wt.) for 4 weeks as monotherapy and combination therapy (glibenclamide 0.6 mg/70 kg b.wt., simvastatin 5 mg/70 kg b.wt.) for 12 weeks. Graph pad was used and the results were expressed as Mean±SEM. A one-way analysis of variance (ANOVA) followed by Dunnett’s post hoc test or students paired or unpaired t-test was used in the study where appropriate. Results: Results were considered to be significant when p-values were less than 0.05 (p<0.05). Combination therapy demonstrated a significant (p<0.05) decrease in blood glucose and liver enzymes elevation compared with diabetic control group. The study also demonstrated that the short term treatment has satisfactory effect on lowering SGPT by 41% and SGOT by 50%. Long term administration of combination therapy showed more significant (p<0.05) potentiality on lowering SGPT (46%) and SGOT (53%), respectively and this level remain steady during total treatment period. Conclusion: The present study demonstrates that combination of glibenclamide with simvastatin at the dose level tested exhibits significant glucose and liver enzymes lowering activity in alloxan induced diabetic rats. When monotherapy with oral antidiabetic agents fails, combination therapy with glibenclamide plus simvastatin seems to be stable and effective for the treatment of diabetes mellitus.
  A. Tabassum , R.R. Saha , M.S. Rahman , M.A. Nure , R. Karim , A.H.M.R. Imon , M. Maniruzzaman , A.K.L. Kabir , A. Islam , J.F. Chaity , B.C. Adhikary , A. Sarwar , T.B. Huq and Mst. M. Begum
  Background and Objective: Pain management has been an area of a great deal of attention for pharmacists for many years. In this study, we report a study which is designed to investigate how a combination of existing effective drugs performs for the relief of pain management. Materials and Methods: A combined solid dosage containing paracetamol (500 mg) and ibuprofen (150 mg) is developed and tested under an observational analytical study. The performance of this combined oral solid dosage named maxigesic tablet in order to reduce pain is investigated on the basis of European patent specification. This assay is carried out by employing HPLC system with UV detection at 222 nm. Results: The results show the presence of active components to the tune of 112.12% for paracetamol and 101.86% for ibuprofen. The formulated solid dosage is further subjected to separate groups of artificially pain induced mice for a comparative study and it shows more efficacy than single analgesic used in pain management. We observe that the respective potencies for paracetamol and ibuprofenare 98.57 and 102.90%. Conclusion: The characterization of both granules and tablets of newly developed formulation demonstrates significant improvement in results of analytical test that not only met the standard specification, but they also reveal that the combined dosage will improve the product quality, efficacy and patient safety in the long run. This trial also shows a significant difference in the percentage of pain inhibition between the two sets of formulations (single and combination of them).
 
 
 
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