Pharmaceutical care is the direct or indirect responsible provision of drug therapy to achieve the elimination or reduction of a patient's symptomatology or slowing of a disease process or preventing a disease or symptomatology. Pharmaceu ...
Pharmaceutical care is the direct or indirect responsible provision of drug therapy to achieve the elimination or reduction of a patient's symptomatology or slowing of a disease process or preventing a disease or symptomatology. Pharmaceu ...
Relapse cases are rare in patients treated regularly with multidrugtherapy (MDT) schemes recommended by World Health Organization. Leprosy relapse related to drug resistance have been reported since the 60s, especially related to prolonged use of ...
Multidrug-resistant strain of Mycobacterium tuberculosis (MDR-Tb) and Multidrug -sensitive Mycobacterium tuberculosis (MDS-Tb) isolated from humans were injected subcutaneously into the guinea pig. One set of infected lungs of animals was fixed in ...
Formulation studies involve developing a preparation of the drug which is both stable and acceptable to the patient. For orally administered drugs, this usually involves incorporating the drug into a tablet or a capsule. It is important to make th ...
Nanomaterials show the useful properties such as electronic reactivity and the tissue permeability that were not provided by micromaterials. Thus, nanomaterials are expected as innovative materials for the development of medicine and cosmetics. Ho ...
Multivariate Data Analysis is a statistical technique used to analyse data that originates from more than one variable. These variables are nothing but prototypes of real time situations, products and services or decisio ...
Multivariate Data Analysis is a statistical technique used to analyse data that originates from more than one variable. These variables are nothing but prototypes of real time situations, products and services or decisio ...
Missing data arise in almost all serious statistical analyses. Missing data are ubiquitous in social science research. It is important to consider the issues raised by missing data at the research design stage. As unplan ...
Missing data arise in almost all serious statistical analyses. Missing data are ubiquitous in social science research. It is important to consider the issues raised by missing data at the research design stage. As unplan ...
Missing data arise in almost all serious statistical analyses. Missing data are ubiquitous in social science research. It is important to consider the issues raised by missing data at the research design stage. As unplan ...
Many activities can lead to soft-tissue damage of muscles, ligaments, and tendons. The result can be pain, swelling, bruising, and damage. Soft-tissue injuries are classified as the following: Contusions (bruises), Sprai ...
Missing data arise in almost all serious statistical analyses. Missing data are ubiquitous in social science research. It is important to consider the issues raised by missing data at the research design stage. As unplan ...
In statistics, missing data, or missing values, occur when no data value is stored for the variable in an observation. Missing data are a common occurrence and can have a significant effect on the conclusions that can be ...
Regression analysis is a way of mathematically sorting out which of those variables does indeed have an impact. It answers the questions: Which factors matter most? Which can we ignore? How do those factors interact with ...
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome variable') and one or more independent varia ...
Regression analysis is a way of mathematically sorting out which of those variables does indeed have an impact. It answers the questions: Which factors matter most? Which can we ignore? How do those factors interact with ...
Regression analysis is a way of mathematically sorting out which of those variables does indeed have an impact. It answers the questions: Which factors matter most? Which can we ignore? How do those factors interact with ...
Regression analysis is a powerful statistical method that allows you to examine the relationship between two or more variables of interest. While there are many types of regression analysis, at their core they all examin ...
A longitudinal study refers to an investigation where participant outcomes and possibly treatments or exposures are collected at multiple follow-up times. A longitudinal study generally yields multiple or “repeated ...