tag:blogger.com,1999:blog-39039186093271033292014-10-04T19:49:15.840-07:00Statistical ServicesMaxisIT Serviceshttp://www.blogger.com/profile/05403132277594819350noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-3903918609327103329.post-70908834398205591642009-07-22T01:27:00.000-07:002009-07-22T01:30:11.801-07:00Timeline of Statistical Analysis<div align="justify"><strong>Timeline of Statistical Analysis - <em>A journey into the history of statistical analysis</em></strong><br /><strong></strong></div><div align="justify"><strong>17th Century<br /></strong>1654 - Blaise Pascal and Pierre de Fermat were the founders of the theory of probability.<br />1693 - Edmund Halley discovers the mortality tables statistically for the first time relating death rate to age.<br /><br /><strong>18th Century<br /></strong>1724 - Abraham de Moivre further explores mortality statistics and discoveres the theory of annuities.<br />1733 - Abraham de Moivre was the first to introduce normal distribution to approximate the binomial distribution in probability which was a mystery till then<br />1761 - Thomas Bayes was successful in providng Bayes theorem<br /><br /><strong>19th Century</strong><br />1805 - Adrien-Marie Legendre was the first to introduce the method of least squares for fitting a curve for a given set of observations<br /><br /><strong>20th Century<br /></strong>1933 - Andrey Kolmogorov publishes his book Basic notions of the calculus of probability - an axiomatization of probability based on measure theory<br />1943 - Kenneth Levenberg designs a method for nonlinear least squares fitting<br />1953 - Nicholas Metropolis defines the idea of thermodynamic simulated annealing algorithms.<br />1962 - Donald Marquardt discovers the Levenberg-Marquardt nonlinear least squares fitting algorithm.<br />1980 - Introduction of Computers in Statistical Analysis which latter lead to development of statistical softwares </div><div align="justify"> </div><div align="justify"><a href="http://www.maxisit.com/">MaxisIT</a> </div>MaxisIT Serviceshttp://www.blogger.com/profile/05403132277594819350noreply@blogger.com0tag:blogger.com,1999:blog-3903918609327103329.post-37602955992638395012009-05-12T23:05:00.000-07:002009-05-12T23:06:39.919-07:00MaxisIT eNalyze for Statistical ComputingMaxisIT’s eNalyze™ software solution under the CT Renaissance™ enterprise suite offers a multitude of functionalities, making it a one-stop-solution for both your software and services needs. MaxisIT has extensive breadth and depth of clinical data analysis and reports development. Our analysis group evaluates the trials in the design phase by utilizing web-based wizard driven interfaces, automated batch and/or real-time production of -<br /><br />Pre-clinical safety reports <br />Interim analysis and reporting <br />Clinical data viewing and ad-hoc reporting <br />Clinical efficacy and safety analysis and reports <br />Patient profiles <br />Non-clinical reports <br />Progress monitoring reports<br /><br /><strong>Features</strong><br /> <br />Easy and intuitive web-based software for faster, more efficient SDTM validation & Define.xml generation <br />Web-based, wizard driven, point-n-click reports development <br />Built-in repository of statistical methods, standard reports ‘templates and shells. <br />End-to-end traceability of data & referential linking <br />Comprehensive metadata management <br />Enables efficient decision making by quick implementation of emerging data standards <br />Low total cost of ownership (TCO) <br />Interoperable and can be fully integrated with other systems <br />Round the clock support <br />GCP-ICH & 21 CFR Part 11 complaint processes and software infrastructure<br /><br /><br /><a href="http://www.maxisit.com">MaxisIT</a>MaxisIT Serviceshttp://www.blogger.com/profile/05403132277594819350noreply@blogger.com0tag:blogger.com,1999:blog-3903918609327103329.post-34420939701426671082009-05-11T00:19:00.000-07:002009-05-11T00:21:53.379-07:00Statistical Computing EnvironmentStatistics is the branch of science that deals with many numbers which are generated in a controlled environment for a given process, which latter on analysis helps understanding the significance of the activity. Statistical Analysis is tedious process and demands the best concentration levels of the statisticians across the globe. A small error in computation may cause the sabotage to the entire study. Thus electronic ways of computing statistics which are accurate, reliable and made simple all together constitute Statistical Computing. This Statistical Computing has a wide range of applications in clinical trials industry<br /><br />Statistical Computing in clinical trials industry is carried out in a particular regulated and controlled environment, which is referred to as Statistical Computing Environment. In Statistical Computing Environment initially a Statistical Analysis Plan is documented. Few other good areas for statistical computing include Analysis of data files, programming statistical results, generation of compiled reports, Certain Validations according to the regulatory authority guidelines and compliance, we need to publish the relevant results and enable the data view on demand.<br /><br />Statistical Computing Environment needs to address few topics and concepts which are predefined to ensure the smooth transaction of the entire process. The concepts that needs to be revised for a stable Statistical Computing Environment in place is Metadata concepts, Standard data transformations, capable reporting system, professional and proficient documentation system, publishing the necessary data in compliance to the Audit trial and data security.<br /><br />Statistical Computing Environment is a huge concept in making and continuously changing aimed at improving the quality and efficacy of the drug in making and bring out a renaissance in current clinical trials process<br /><br /><a href="http://www.maxisit.com">MaxisIT</a>MaxisIT Serviceshttp://www.blogger.com/profile/05403132277594819350noreply@blogger.com1