Reasons for screening data, Advanced Statistics

Reasons for screening data

  •     Garbage in-garbage out
  •     Missing data

    
    a. Amount of missing data is less crucial than the pattern of it.

  • If randomly scattered not a problem/ nonrandom patterns limit the use of data (can't generalize results)
  • Extreme values or outliers - cases with extreme values on one or a combination of variables that can potentially distort the results of the analysis. Ascertain that the data fulfills the basic assumptions for statistical techniques:  

 

a. Data being normally distributed
    b. Linear relationship between variables Homoscedasticity

1438_Reasons for screening data.png

Posted Date: 3/4/2013 6:01:09 AM | Location : United States







Related Discussions:- Reasons for screening data, Assignment Help, Ask Question on Reasons for screening data, Get Answer, Expert's Help, Reasons for screening data Discussions

Write discussion on Reasons for screening data
Your posts are moderated
Related Questions
The model which is applicable to the longitudinal data in which the dropout process might give rise to the informative lost values. Specifically if the study protocol specifies the

A term usually used for unobserved individual heterogeneity. Such variation is of main concern in the medical statistics particularly in the analysis of the survival times where ha

Why Graph theory? It is the branch of mathematics concerned with the properties of sets of points (vertices or nodes) some of which are connected by the lines known as the edges. A

R-squared is regarded as the coefficient of determination and is used to give the proportion of the fluctuation of the variance of one variable to another variable. R-squared also

Committees to monitor the accumulating data from the clinical trials. Such committees have chief responsibilities for ensuring the continuing safety of the trial participants, rele

Canonical correlation analysis : A process of analysis for investigating the relationship between the two groups of variables, by ?nding the linear functions of one of the sets of

Generalized method of moments (gmm) is the estimation method popular in econometrics which generalizes the method of the moments estimator. Essentially same as what is known as the

Banach's match-box problem : The person carries two boxes of matches, one in his left and one in his right pocket. At first they comprise N number of matches each. When the person

Weighted least squares  is the method of estimation in which the estimates arise from minimizing the weighted sum of squares of the differences between response variable and its pr

Input to the compress is a text le with arbitrary size, but for this assignment we will assume that the data structure of the file fits in the main memory of a computer. Output of