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Statistical analysis has wide range of applications in different fields such as. Biostatistics tools help medical researchers to take scientific decision on the research problem they are dealing with. It role starts from the planning stage of the research to the conclusion stage. In the current scenario at least a basic knowledge about BioStatistics is essential for the researcher to succeed in their area of research.

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vinaitheerthan | vinaitheerthan.com Reviews
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Statistical analysis has wide range of applications in different fields such as. Biostatistics tools help medical researchers to take scientific decision on the research problem they are dealing with. It role starts from the planning stage of the research to the conclusion stage. In the current scenario at least a basic knowledge about BioStatistics is essential for the researcher to succeed in their area of research.
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1 about myself
2 statistical tutorial
3 introduction
4 to sas
5 statistical notes
6 medicine and biologicalsciences
7 business and marketing
8 economics
9 quality control
10 coupons
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vinaitheerthan | vinaitheerthan.com Reviews

https://vinaitheerthan.com

Statistical analysis has wide range of applications in different fields such as. Biostatistics tools help medical researchers to take scientific decision on the research problem they are dealing with. It role starts from the planning stage of the research to the conclusion stage. In the current scenario at least a basic knowledge about BioStatistics is essential for the researcher to succeed in their area of research.

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1

Vinatheerthan Statistical notes

http://www.vinaitheerthan.com/statnotes.php

Things today I liked. Tutorial on Introduction to biostatistics. Group missing and non missing and compare dependent variable to find out any significance difference between missing value group and non missing value group. Mean Substitution method - Missing values can be substituted with the mean value of the variable. Missing values can be estimated using regression method instead of just substituting with the mean value. Hot deck imputation – Missing values can be substituted with similar value. Need t...

2

Vinaitheerthan Myself

http://www.vinaitheerthan.com/myself.php

Introduction to SAS Software. Introduction to R Software. Statistician with experience in the field of Biostatistics, Statistical Quality Control, Marketing Research and Education Research I have done Master's in Applied Statistics and ;Master in Computer Applications.

3

Vinaitheerthan Home

http://www.vinaitheerthan.com/index.php

Introduction to SAS Software. Introduction to R Software. Statistical Methods and Tools. Measures of Central Tendency. Wilcoxon Signed Rank Test. Two Stage Least Square regression. Partial Least Square regression. Analysis of Variance (ANOVA). One way Analysis of Variance. Two way Analysis of Variance. Post -Hoc and Multiple Comparison Test. Repeated Measures Analysis of Variance. Non Parametric Survival Analysis Method. Kaplan Meir Survival Analysis Method. Semi Parametric Method Survival Analysis Method.

4

Biostatistics Tutorial

http://www.vinaitheerthan.com/biostattoc.php

Introduction to SAS Software. Introduction to R Software. Tutorial on Introduction to biostatistics. 02 Need for Biostatisitics tools. 03 Data and variables. 11 Sensitivity ,Specificity, ROC curves and Likelyhood Ratios. To view all the contents in a single page.

5

Vinatheerthan SAS Programming

http://www.vinaitheerthan.com/sasprogramming.php

Introduction to SAS Software. Introduction to R Software. Tutorial on Introduction to biostatistics. Introduction to SAS Programming. Statistical Analysis System (SAS) software became an integral part of any data analysis process especially in the clinical research domain. We will start with the first step namely the Data step. Data step has the following the two types of syntax. The first type of data step statement reads the data directly from the user input through input and datalines statements.

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Statistical analysis has wide range of applications in different fields such as. Biostatistics tools help medical researchers to take scientific decision on the research problem they are dealing with. It role starts from the planning stage of the research to the conclusion stage. In the current scenario at least a basic knowledge about BioStatistics is essential for the researcher to succeed in their area of research.

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