Are
you looking for help in biostatistics? We at AHEAD Academy offer online
helpfor biostatistics. We have a team of biostatistics experts, who are
capable to render you quality support for doing biostatistics for your thesis
and research in time and by maintaining best possible quality.We help medical and dental students in doing hassle
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We
perform all popular analysis used in the field of biological and health related
problems like Correlation, Regression, Logistic Regression, Odds Ratio,
Chi-square statistic, Survival Analysis, and many more.
Introduction to Biostatistics course titled "Primer
Course in Research Methodology & Biostatistics Bridging the gap between
Research & Clinical Practice" provides
an introduction to selected important topics in bio statistical concepts and
reasoning. This course represents an introduction to the field and provides a
survey of data and data types.
Most
people have heard that heart disease is the leading cause
of death in America today. But how do we know this fact to be true? Back in
1948, when a lot wasn't known about the factors leading to heart disease and
stroke, a health research study -- known as the Framingham Heart Study -- was
done on 5,209 people living in the town of Framingham, Mass. These participants
hadn't developed any known symptoms of cardiovascular disease and hadn't had a
stroke or heart attack. They agreed to be followed over a period of time to
help researchers learn what factors lead to both conditions.
The learning activities include:
Attending workshops
Hands on session with computers and
software packages
Reading and comprehending course
material
Problem solving
Writing assignments
Tests
Group discussions
Course Contents:
Unit 1. Biostatistics
- Introduction to Biostatistics
- Sampling – Random and non-random sampling methods – Description, merits and demerits
- Data summarization – measures of averages and dispersion
- Data Presentation techniques – Graphical and tabular
- Normal distribution – properties and applications
- Standard error, Confidence interval and sampling distribution – definition, computation, interpretation and applications
- Basic principles of testing of hypothesis
- Test of significance - t-test, one way ANOVA, Repeated measures ANOVA, Chi square and Non parametric methods
- Sample size in health science research – Basic principles and computations.
- Correlation and Regression
- Software packages-SPSS.
- Introduction to systematic reviews and meta-analysis
- Measures of agreement (Kappa Statistics & ICC)
- Logistic regression
- Survival analysis
Unit 2. Research Methodology, Epidemiology and
experimental design
- Epidemiological Study design- Descriptive, Analytical and Experimental
- Basic experimental designs
- Epidemiological Measures – Rate, ratio, proportion, Incidence and prevalence , Relative risk, Risk ratio, Odds ratio
- Reliability and validity of screening and diagnostic tests, ROC analysis
- Development of research tools
- Protocol preparation
- Proposal writing
- Report writing and publishing
- Critical review of research report and journal article
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