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ROLE OF BIOSTATISTICIAN AND BIOSTATISTICAL PROGRAMMING IN EPIDEMIOLOGICAL STUDIES

u2022tHealth data contains important information that can help save lives and cro biostatistics services provide information to support public health initiatives.<br>u2022tBiostatisticians and biostatistical programming services are highly sought after to make sense of the data available from studies on public health.<br><br><br>To Continue reading: https://bit.ly/2OBq9EZ<br><br>Contact Us:<br>Website : https://bit.ly/33Fwsye<br>Email us: sales.cro@pepgra.com<br>Whatsapp: 91 9884350006<br>

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ROLE OF BIOSTATISTICIAN AND BIOSTATISTICAL PROGRAMMING IN EPIDEMIOLOGICAL STUDIES

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  1. Role of Biostatistician and Biostatistical Programming in Epidemiological Studies Dr. Nancy Agens, Head, Technical Operations, Pepgra pepgrahealthcare@gmail.com In brief Health information that can help save lives and cro biostatistics information to support public health initiatives. Biostatisticians biostatistical programming services are highly sought after to make sense of the data available from studies on public health. Keywords Epidemiology biostatistical Statistical Programming Clinical biostatistics services, Biostatistics services I.EPIDEMIOLOGY Epidemiology is a branch of medicine that deals with the study of disease in population, the incidence, distribution, and ways to control the same.Centres of disease control and prevention (CDC) explains epidemiology as a scientific and systematic data-driven study of the distribution and determinants of health-related states and events in specific populations and application of the same information for control of health problems.iSo, we see that epidemiology consists of three aspects: - 1.Identification of disease patterns in a population, 2.Identify causes conditions and 3.Provide data for prevention, control, and treatment of the health condition. II. BIOSTATISTICS Biostatistical analysis is the science and art of dealing with variation in data to get reliable results and conclusions. Application of statistics to any field of medicine or health is biostatistics.ii III. BIOSTATISTICS IN EPIDEMIOLOGICAL STUDIES Epidemiological studies are heavily dependent on Epidemiological statistical convert data and information got from epidemiological studies, analyseit, and convert it into forms that help solve issues related to public health. Biostatistical services use quantitative methods to combine the two epidemiology and biostatistics.iii How do we know the risk factors associated with heart disease? How did we conclude that there is no one cause for this but a combination of genetic and lifestyle factors that increase the risk to have a coronary event? This understanding is thanks to the famous Framingham Heart Study which is still underway. Here, over 5000 volunteers agreed to be followed up for several decades to help public health workers understand the risk factors associated with heart disease. As the world is struggling today to understand and curtail the pandemic of Covid-19, the role of epidemiology in public health has never been clearer. Biostatisticians are using statistics to predict how the pandemic will behave, spread, and the mortality rate. data contains important services provide and biostatistics. services service, Services, disciplines of or associated Copyright © 2020 pepgra. All rights reserved 1

  2. Thus, epidemiology and biostatistics are the basic sciences of public health. IV. STEPS IN EPIDEMIOLOGICAL BIOSTATISTICS Steps involved includeiv: - 1.Address a public health question – generate a hypothesis A epidemiology assumption based on oScientific rationale oObservation or anecdotal evidence oResults of prior studies 2.Conduct a study – oSurvey – studies extend of health condition in defined population oSurveillance – Monitors or detects health condition. It can be done actively or passively. oObservational – study the association exposure and a health condition. Here, there is a natural distribution of the control and study group. oExperimental involving treatment, outcome. 3.Collect data – numerical facts and figures, observations obtained from the investigation. Data must be reliable and accurate for reliable outcomes. 4.Describe the observations / data – by descriptive statistical methods, the data is assessed descriptively and organised in graphs, tables, and other summary methods. 5.Assess strength of evidence for or against the hypothesis – Inferential statistics does a confirmatory data analysis. The strength of evidence is assessed, comparisons are made with previous predictions are made. It also provides future questions and areas of future research. 6.Make recommendations based on inferences – The study proves or disproves or is inconclusive on the hypothesis. The study may be published in publication or may be spread by any other suitable medium of communication. The outcome may be a regulatory or policy change in handling a health condition or a change in behaviour of the people. Epidemiology services together provide valuable inputs on study design, disease modelling, sampling, surveillance, analysis, risk stratification, identification of vulnerable populations and prevention, control, and treatment of the health condition in the population. Biostatistics helps in designing study methodology, data models that are epidemiologically relevant information and data more informative by adequate analysis.v V. BIOSTATISTICAL TOOLS Most studies use observational and descriptive statistics in the form of tables and graphs are most used. There are several biostatistical computerised tools that are available today that make the process automated. Of these, SAS and STATA are the most used packages. Other packages used are SUDAAN, SPSS, R, ARCGIS, HLM, IVEWARE, BUGS etc. Logistic regression is the most common classical statistical technique used. vi VI. BIOSTATISTICIANS Biostatisticians running the show Programming Services. They usually have a master’s degree or a doctorate in statistics, some also have a degree in studies and hypothesis in an peer-review is and biostatistics to make between an – study exposure, disease and that are and significant are for the Statistical ones Copyright © 2020 pepgra. All rights reserved 2

  3. public health. They often have a background in mathematics or computer science. They are the ones who help make sense of the complex data that comes out of the study. They help link the cause and effect and solve the mystery of causation vis-à-vis association between the exposure and disease condition. VII. FUTURE SCOPES Biostatistics is the backbone to study epidemiology public health, and it needs to be included adequately in medical curriculum. Medical professionals need to understand biostatistical tools better to be able to interpret and use public health statistics in their practice. Several courses in statistical methods are available online for working medical professionals seeking additional training. VIII. CONCLUSION Epidemiology and biostatistics are two sides of the same coin and together they form the backbone of the public health information biostatistical support turns scientific data into information that help epidemiologists and governments plan strong public health policies. REFERENCES iPark K. Textbook of preventive and social medicine. 21st ed. BanarasidasBhanot; 2011. iiMahajan BK. Methods in biostatistics. 7th ed. New Delhi: Jaypee Brothers Medical Publishers; 2010. iiiBhuyan, Dhrubajyoti&Dua, Neha & Kothari, Tejal. (2015). Epidemiology and biostatistics: Fundamentals of research methodology. Open Journal of Psychiatry & Allied Sciences. 7. 10.5958/2394-2061.2015.00022.1. ivSundaram KR, Dwivedi SN, Sreenivas V. Medical statistics principles and methods. New Delhi: BI Publications; 2010. vVilleneuve, P.J., Paradis, G. &Muhajarine, N. Always better together: the Canadian Journal of Public Health and the Canadian Society for Epidemiology and Biostatistics. Can J Public Health111, 305–307 (2020). https://doi.org/10.17269/s41997-020-00362-x viHayat, M. J., Powell, A., Johnson, T., &Cadwell, B. L. (2017). Statistical methods used in the public health literature and implications for training of public health professionals. PloS one, 12(6), e0179032. https://doi.org/10.1371/journal.pone.0179032 system. Strong Copyright © 2020 pepgra. All rights reserved 2

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