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#ጥናታዊ ፅሁፍ -ማማከር (Bio & Eco-stat ®SPSS,STATA, R, EVIEWS, Python, Areana, MATLAB...-GIS )
#ለተማሪ
#ለድርጅት
#ለመንግስት
#የቢዝነስ ፕላን  -feasibility Study
፨የፕሮጀክት ስራ ፤ 
#የኮንስትራክሽን ስራ እና ማማከር
የ Software አቅርቦት
የፊልምና የትያትር ስክርፕት ዝግጅት
@ህጋዊ #የሙያ ፍቃድ  ያለው!
Call#0920560391
https://t.me/mamaker

                   Call#0920560391
#ጥናታዊ ፅሁፍ -ማማከር (Bio & Eco-stat ®SPSS,STATA, R, EVIEWS, Python, Areana, MATLAB...-GIS )
#ለተማሪ
#ለድርጅት
#ለመንግስት
#የቢዝነስ ፕላን  -feasibility Study
፨የፕሮጀክት ስራ ፤ 
#የኮንስትራክሽን ስራ እና ማማከር
የ Software አቅርቦት
የፊልምና የትያትር ስክርፕት ዝግጅት
@ህጋዊ #የሙያ ፍቃድ  ያለው!
Call#0920560391
https://t.me/mamaker

#MODELING THE RESEARCH
፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨
የትኛው አይነት የሪሰርች ጥያቄ (research question) ወይም Dependent Variable ምን አይነት Analysis ያስፈልጋል ብለን ስንመለከት ፣
1. Dependent Variable በቁጥር የሚገለጽ(Numerical variable) ከሆነ በብዛት የሚንጠቀምበት Analysis models:-
🔢 bivariate correlation (Pearson, partial etc..)
🔢 Linear regression( simple, multiple LR)
🔢 t- tests (one sample, paired, independent t test)
🔢 ANOVA (one way, two way, ANCOVA, MANOVA...) የሚባሉ ሞዴሎች ስሆን እያንደንዱን በስፈት እንመለከታለን ፣
2. #Dependent variable Categorical ከሆነ
⏸ chi square test
⏸ Logistic regression( BLR, MLR, OLR)
በአብዛኛው ጊዜ የሚንጠቀምባቸው ናቸው፣ እያንዳንዱን በጥልቀት እንደስሳለን፣

#ሌሎች multi level (Mixed model) እና Survival Analysis የሚንለቸውን በጊዜ ህደት እናያቸዋለን፣
፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨
#Sourc from research tetorial cited,2020
https://t.me/mamaker

Panel data, also known as #longitudinal data or cross-sectional time series data, refers to a type of dataset that contains observations on multiple individuals or entities over a period of time. Each observation in panel data represents both the cross-sectional variation (variation across individuals) and the time-series variation (variation over time).

Some key #characteristics of panel data include:

1. Individuals or entities: Panel data includes observations on multiple entities such as individuals, households, firms, countries, etc. These entities remain constant over time.

2. Time dimension: Panel data consists of multiple time periods or waves. These time periods can be evenly spaced (e.g., annual data) or unevenly spaced (e.g., quarterly data).

3. Observations: Each observation in panel data represents the values of variables for a #specific entity at a specific time point. These variables can be economic, social, demographic, etc.

4. Inclusion of #fixed effects: Panel data often includes fixed effects, which capture entity-specific characteristics that remain constant over time. Fixed effects account for unobserved heterogeneity across entities.

In econometrics and statistical analysis, panel data allows researchers to examine both the within-entity variations (over time) and the between-entity variations (across individuals or entities) simultaneously. Panel data analysis methods, such as fixed effects models, rando m effects models, and first-differences models, are used to estimate relationships and causal effects using the panel data structure.

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odds ratio OR(በbinary regression)

The magnitude of the #odds ratio is called the “strength of the association.”
The further away an odds ratio is from 1.0, the more likely it is that the relationship between the exposure and the disease is causal. For example, an #odds ratio of 1.2 is above 1.0, but is not a strong association.