Biostatistics and Research Methodology

 Description :

We cover Types of Research Types of Research e.g. Basic Science Vs Clinical, Descriptive, Analytical Vs Experimental. Algorithm of Study Designs and Level of Evidence Study designs such as Observational Vs Experimental. Five levels of evidence. Review of Literature Various sources of references Acknowledgement of sources Ethical Guidelines Ethical Guidelines for Biomedical Research in Human Participants. Historical background in evolution of ethical guidelines. Protocol Writing Protocol Writing for Submission to Institutional Review Board/Institutional Ethics Committee (IRB/IEC). Methods of writing references Methods of Writing References e.g. Vancouver method, Harvard method. Introduction to Statistics & Common Statistical Terminologies Definitions, Scope & Limitations Terminologies e.g. Population, Sample, Constant, Variable etc. Sources & Types of Data, Data Collection & Presentation, Primary, Secondary Quantitative & Qualitative Measurement scale of data Surveys, Records, etc. Tabulation & Graphs. Measures of Central tendency & Location, Mathematical Averages Positional Averages. Variability & its Measures Range, Quartile deviation, Mean deviation, Standard deviation, Coefficient of variation SEM, SEP. Probability Definitions Addition theorem of probability Multiplication theorem of probability Normal Distribution & Normal Curve, Construction, Properties, Use & significance Skewness in distribution. Sampling, Sampling Variability & its Significance. Methods of sampling Errors in sampling Sample Size Calculation. Quantitative: finite & infinite population Qualitative: finite & infinite population. Tests of Significance – I. Significance of Difference in Means: Z test (for large samples) t test: paired & unpaired (for small samples). Tests of Significance – II. The Chi ‐ Square Test. Goodness of fit & Test of association. Correlation & Regression. Definition & types of correlation Calculation of Pearson’s correlation coefficient (r) Simple linear regression. Demography & Vital Statistics. Definition Indicators of health & their uses. Use of Computers in Biostatistics. Windows Excel Data Analysis in bio‐statistical analysis. Names of various statistical tools and software. Demonstration and Practice. Reflective writing. Computer based practice for basic statistical analysisword processing, spread sheets, tabulation, and Microsoft office access. Identification of Tests for Parametric and Non Parametric data and statistical formulae as applied to different categories of data. We cover all theoretical aspects of the syllabus and give clarification and support for hand-on training from experts. We give you unit tests, paper valuation techniques and continuous feedback on where to focus more. We offer interactive discussion forum to support your studies. Please contact us to get more details from subject experts.

 Topics :

Types of Research Types of Research e.g. Basic Science Vs Clinical, Descriptive, Analytical Vs Experimental. Algorithm of Study Designs and Level of Evidence Study designs such as Observational Vs Experimental. Five levels of evidence. Review of Literature Various sources of references Acknowledgement of sources Ethical Guidelines Ethical Guidelines for Biomedical Research in Human Participants. Historical background in evolution of ethical guidelines. Protocol Writing Protocol Writing for Submission to Institutional Review Board/Institutional Ethics Committee (IRB/IEC). Methods of writing references Methods of Writing References e.g. Vancouver method, Harvard method. Introduction to Statistics & Common Statistical Terminologies Definitions, Scope & Limitations Terminologies e.g. Population, Sample, Constant, Variable etc. Sources & Types of Data, Data Collection & Presentation, Primary, Secondary Quantitative & Qualitative Measurement scale of data Surveys, Records, etc. Tabulation & Graphs. Measures of Central tendency & Location, Mathematical Averages Positional Averages. Variability & its Measures Range, Quartile deviation, Mean deviation, Standard deviation, Coefficient of variation SEM, SEP. Probability Definitions Addition theorem of probability Multiplication theorem of probability Normal Distribution & Normal Curve, Construction, Properties, Use & significance Skewness in distribution. Sampling, Sampling Variability & its Significance. Methods of sampling Errors in sampling Sample Size Calculation. Quantitative: finite & infinite population Qualitative: finite & infinite population. Tests of Significance – I. Significance of Difference in Means: Z test (for large samples) t test: paired & unpaired (for small samples). Tests of Significance – II. The Chi ‐ Square Test. Goodness of fit & Test of association. Correlation & Regression. Definition & types of correlation Calculation of Pearson’s correlation coefficient (r) Simple linear regression. Demography & Vital Statistics. Definition Indicators of health & their uses. Use of Computers in Biostatistics. Windows Excel Data Analysis in bio‐statistical analysis. Names of various statistical tools and software. Demonstration and Practice. Reflective writing. Computer based practice for basic statistical analysisword processing, spread sheets, tabulation, and Microsoft office access. Identification of Tests for Parametric and Non Parametric data and statistical formulae as applied to different categories of data.