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Comprehensive meta-analysis (CMA) v3.7z

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Comprehensive meta-analysis (CMA) v3.7z

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Description

Comprehensive meta-analysis (CMA) is an essential software for performing meta-analysis or meta-analysis methods developed by Biostat Inc. Meta-analysis is a very large and voluminous statistical operation and procedure that combines data and results of interdisciplinary research and brings us to a single and solid truth. When the effect size of a phenomenon has common and consistent properties in several separate and valid studies, meta-analysis can be used to identify and confirm this common phenomenon. The user of meta-analysis is not limited to the same phenomena, but can also be used in situations where the results of our research in a field show discrepancy and instability, and determine the variables that affect this instability and its main cause.

Decisions about the usefulness of a phenomenon and the validity of a hypothesis based on a particular study are wrong. Usually in academic research, a phenomenon may show special results and properties in several different researches and professorship cases and cause problems for researchers. In this regard, it is necessary to have a precise and powerful mechanism in order to combine the results and achieve the best possible result. Reviewing the narratives of different experts is one of the available solutions to solve the problem. Expert narratives usually have a specific mental orientation, and each expert may reach different conclusions and perhaps even the opposite of others. This difference is most evident in meta-analyzes that use several different studies. On the other hand, objective formulas and statistical methods have no specific mental limitations and orientations and can be applied to an unlimited number of researches.

Applications of meta-analysis in the research process

Pharmaceutical and medical device companies use meta-analysis to validate drug results and obtain approval and standards. The pharmaceutical industry relies heavily on meta-analyzes, and some regulators have even forced active companies to publish meta-analyzes, leaving the final approval of a particular drug to meta-analysis. Clinics, researchers in social phenomena, universities, psychologists, lawyers, etc. use meta-analysis to confirm the results of their solutions and compare them. Meta-analysis is not limited to any branch of science and in the study of various phenomena such as sociology, anthropology, social psychology, gender differences, finance and economics, political science, marketing and marketing, ecology, genetics and … Is also used.

Comprehensive meta-analysis (CMA) Features:

Ability to enter information manually or receive information from other existing software and databases
Performing advanced research and supporting a large number of subgroups, results, different time ranges and measurements, etc.
Automatic and fast calculation of effect size
Supports over 100 different information formats
View complete information related to software formulas and calculation methods
Ability to analyze and calculate various information formats
Ability to select different computational models