Medical statistics - Wikipedia
Medical statistics deals with applications of statistics to medicine and the health sciences, Journal of the American Medical Association. Health statistics are numbers about some aspect of health. overweight, the rate at which people are catching the flu, the average cost of a medical procedure. Statistics in Medicine - 3rd Edition - ISBN: , . the gap left in all other medical statistics books between the reader's knowledge of managing data and analysis, Bayesian statistics, measuring association and .
The software used for analysing data should be reported, e. So, statistical tests should be described.
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There should be the type of statistical test, if it is a confirmatory analysis or if it is an exploratory test that need to be strengthen with cross validation [ 14 ]. Criteria of inclusion or exclusion are indispensable to clarify the validity of interpretation of the data and the extent to which the results can be applied. Data should be enlighten and so their sources [ 4 ].
Reporting results, any exclusion during analysis should be expressed. Data analysis should be reported with appropriate confidence intervals or P value [ 34 ].
The interpretation of the P value is disputable. The presence of a P value less than a predefined value determines statistical significance, but its absence is not a reason to reject the alternative hypothesis. Statistical significance does not mean equivalence of treatment or techniques because the clinical importance of a result depends on several variables.
The Role of Biostatistics and Informatics in Public Health
Careful statisticians distinguish between statistical and medical significance. To avoid problems in the interpretation of analysis, it is necessary to choose easy endpoints, to avoid using the term significant, to use correction for data when it is due, e.
Results and data should be reported in a clear and not confused way, using tables and graphs. The estimation of a valuable and important relation among data is facilitated using graphs.
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Graphs give a visual perception of results and catch attention quickly. Understanding of the context is immediate if a graph is well-organized.
Community health sciences Environmental and occupational health sciences Epidemiology Principles of public health management Courses in the MPH specialty A field practicum: Often includes working with an approved organization or agency A capstone project Master of Public Health in Informatics The MPH in Informatics teaches students how to design, develop, and manage public health information systems.
An MPH in Informatics prepares students by providing them with: The principles of public health and public health informatics The definitions and standards of health data Structure and uses of public health databases and networks Applications of the basic functions and operations of public health information technologies Strategies for developing or adapting pubic health-related information systems Planning and managing objectives and standards for public health information systems projects The uses of public health informatics applications, public geographic information systems, and data mining Some of the courses taken in an MPH in Informatics program include: Health information and decision support systems Development of public health surveillance information systems Legal and ethical issues in public health informatics Public health information systems evaluation and project management Web-based public health information systems Geographic information systems applications in public health Data mining applications in public health Master of Public Health in Biostatistics A Master of Public Health in Biostatistics is designed for students who want to focus their graduate work on biostatistics and analysis.
Students in this MPH graduate program are exposed to a variety of statistical methods and their applications in public health.
Coursework and the subsequent capstone project are typically focused on designing, collecting, managing, analyzing, interpreting, and presenting data. Graduates of an MPH in Biostatistics program are prepared to: Specify and produce valid study designs Perform database management and produce working tables and statistical summaries Analyze data in terms of stated hypotheses Generate new hypotheses Coursework in an MPH in Biostatistics includes: The problem is that an automated algorithm is not very good at determining whether trials are disclosed or not.
The algorithm can tell if results have been posted on clinicaltrials. You can probably see the flaw in this already. There are many ways that results could be disclosed that would not be picked up by that algorithm.Choosing which statistical test to use - statistics help.
Many pharmaceutical companies make results of clinical trials available on their own websites. The algorithm would not pick that up. Also, although journal publications of clinical trials should ideally make sure they are indexed by the clinicaltrials.
So how bad is the algorithm?
Biostatisticians and Informaticists in Public Health | MPH in Biostatistics and Informatics
The sponsor with the greatest number of unreported trials, according to the algorithm, is Sanofi. But I think I figured it out in the end, as after trying a few combinations of interpretations I was able to replicate their published results exactly. So in fact only 1 of the 10 was actually undisclosed. I posted this information in a comment on the journal article in which the Trials Tracker is described, and it prompted another reader, Tamas Ferenci, to investigate the Sanofi trials more systematically.