Top Banner
user-friendly SAS program or determining statistical ependence between variable n observational studies Xiaojie Li
22

A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

Jan 04, 2016

Download

Documents

Everett Todd
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

A user-friendly SAS program for determining statistical dependence between variables in observational studies

Xiaojie Li

Page 2: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

(socioeconomic status)

Ses(Intelligence)

Intel

association:

significant!

Research finding:

Page 3: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

A regression model for prediction?

dependence of

?Ses on Intel Intel on Ses

Page 4: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

X(Ses)

Y (Intel)

Y = + * X + (model I)

Some social scientists say…

predictor/independent response/dependent

Page 5: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

X (Ses)

Y (Intel)

X = + *Y + (model II)

Others argue…

predictor/independentresponse/dependent

Page 6: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

Statisticians say… (e.g., Hays 1994; Snedecor & Cochran 1989)

Y = + * X + (I)

X = + * Y + (II)arbitrary{

Page 7: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

Which “model” to go?

Page 8: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

D-R solution Dodge & Rousson. 2001. Am. Stat. 55:51–54.

• model-specific inequalities

• check what’s observed

• model can be determined

What great help to researchers!

Page 9: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

My research objective

• the D-R method 1) requires complex computations;

2) not available in stat packages

• goal: to implement in SAS

easy for researchers to apply D-R

Page 10: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

Inequalities: 4 statistics ( variables: X, Y )

• skewness coefficients

γx γy

symmetric or skewed

• higher order corr coefficients

ρ12

ρ21

relatedness of X and Y

Page 11: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

Strict criteria

• Model I (Y dependent on X):

γy2 ≤ ρ

122 ≤ ρ

212 ≤ γx

2

• Model II (X dependent on Y):

γy2 ≥ ρ

122 ≥ ρ

212 ≥ γx

2

Page 12: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

Loose criteria

Model I: γy2 ≤ γx

2 ρ

122 ≤ ρ

212

or

Model II: γy2 ≥ γx

2 ρ

122 ≥ ρ

212

*potential conflict

Page 13: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

Implementing in SAS

• 6-page long & macro-based

• 2 data files:1) list of variables 2) actual data

• specify path in SAS• run and output:

suggested modelcriteria usedassumptions checked

Page 14: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

A demonstration Hays (1994) Statistics 5th ed.

• origins of gender stereotyping in young girls

• 4 variables: sports interest scores

(MomInt, DadInt, GirlInt)PE teacher evaluation on girl’s

athleticism(PeEval)

Page 15: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

GirlInt

DadInt

MomInt

PeEval

GirlInt DadInt MomInt PeEval 24 23 25 8 30 32 30 13 25 25 25 15 . . . .

haysVarList.prn

haysData.prn

2 data files (in Excel)

Page 16: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

.infile 'a:\haysVarList.prn' end=final; .infile 'a:\haysData.prn' firstobs=2;.

Input before running

Page 17: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

Determining statistical dependence between two variables (Via Dodge and Rousson's loose criteria) Note:"-" indicates conflict using the two loose criteria

Obs pair dependent independent

1 GirlInt vs. DadInt DadInt GirlInt 2 GirlInt vs. PeEval PeEval GirlInt

3 GirlInt vs. MomInt - - 4 DadInt vs. MomInt - -

5 DadInt vs. PeEval - - 6 MomInt vs. PeEval - -

Output from SAS

Page 18: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

A few words of …

• help to applied researchers

• statistical dependence

• tomorrow will be better

causality

X

theD-R way

Page 19: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

Acknowledgment

• Associated Students(graduate fellowship program)

• Dr. W. A. Rodriguez (mentor)

Page 20: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.
Page 21: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.
Page 22: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li.

Ses Intel

A regression model for prediction?

dependence of … on …?