Dear Isaac Karimi ,

Thank you for your help. Can you suggest me name of any book on biostatistics

Sasikanth

Repeated measures make assumptions about your data that aren't really compatible with the world we live in. In addition, the models cannot handle missing data, or variation in the time points at which data are collected for individuals.

You would be advised to a) check out growth models and b) be suspicious of anyone who tells you what to do based on a four-line description of your research!

Growth models have become a powerful tool and it would be worth your while reading up on them. Check out

Curran PJ, Obeidat K, Losardo D. Twelve Frequently Asked Questions About Growth Curve Modeling. Journal of Cognition and Development. 2nd ed. 2010 Apr 30;11(2):121–36.

https://www.tandfonline.com/doi/full/10.1080/15248371003699969

I follow Ronán Michael answer.

DEAR Entedhar Sarhat ,

THANK YOU

SASIKANTH

Dear Dr. Sasikanth Kommu

Peace, mercy and blessings of God

First of all, you should identify the type of data of each studied variable;

1- If the dependent variable is a categorical (ex; study subject: Case/Control) and the independent variable is also a categorical (ex; degree of approval: High/Intermediate/Low); For that you must use Chi-Square test to find out the relationship between the dependent and independent variables.

2- If the dependent variable is a scale (ex; lipid contents in gram:50g/100g/150g/so on..) and the independent variable is categorical and from two groups only (ex; gender: Male/Female); For that you must use t.Test test to find out the relationship between the dependent and independent variables.

3- If the dependent variable is a scale (ex; lipid contents in gram:50g/100g/150g/so on..) and the independent variable is categorical and from three groups or more (ex; degree of approval: High/Intermediate/Low); For that you must use ANOVA test to find out the relationship between the dependent and independent variables.

4- If the dependent variable is a scale (ex; lipid contents in gram:50g/100g/150g/so on..) and the independent variable is also a scale (ex; Weight:50kg/60kg/70kg/so on..); For that you must use Correlation test to find out the relationship between the dependent and independent variables.

For further clarification, I mention you the type of Data with an Examples:

I. Qualitative (categorical)

a. Dichotomous - binary

ex: Gender: male or female.

ex: Employment status: employment or without employment.

b. Ordinal

ex: Socioeconomic level: high, medium, low.

c. Nominal

ex:Residency place: center, North, South, East, West.

ex: Civil status: single, married, widowed, divorced, free union.

II. Quantitative (Scale)

a. Numeric Discrete

ex: Number of offspring: 1,2,3,4.

b. Continuous

ex: Glucose in blood level: 110 mg/dl, 145 mg/dl.

In addition, I linked you the uniform resource locator for many text Books. Check out:

https://barnard.edu/sites/default/files/inline/student_user_guide_for_spss.pdf

http://cutt.us/nFVCo

http://cutt.us/gckWC

Have a nice and healthy day ahead.

With best regards

Dear Prof Akramji,

Thank you very much for your explanation.

It cleared most of my doubts.

Warm Regards

Sasikanth

You can read this book, I hope to be useful.

Dear Shiva Najafi Kakavand

Thank you very much for your help

Sasikanth

Dear Dr. Sasikanth Kommu

You are welcome.

I appreciate your recommendation.

Dear Dr. Kakavand

I think one of the best books is:

Biometry: The Principles and Practices of Statistics in Biological Research Published by W. H. Freeman

Dear Shahriar Mawloudi

Thanks a lot for your help

Sasikanth