CPP Multiple Imputation Codebook for Boston and Providence Prepared by Stephen Gilman Construct Child Demographics Child’s race (NCPP_RACE) Child’s sex (NCPP_SEX)

Treatment of missing data in the nonimputed dataset Use data from all sources, otherwise set to missing Use data from all sources, otherwise set to missing

Imputation rule Impute for all live-born children Categorical Categorical

Parental demographics Maternal age at pregnancy (AR01_72) Paternal age at pregnancy (FH101_29 or SE201_53)

Continuous Continuous

Parental health history Maternal history of psychiatric problems (GN305_47) Maternal psychiatric problems during pregnancy (OB260_33) Paternal history of psychiatric problems (GN305_70) Number of prior pregnancies (GN105_27)

Categorical Count Categorical Count

Parental socioeconomic status assessed during pregnancy Family socioeconomic status (SEI0_26) Persons in the household (HHSIZE) Rooms in the household (SE201_40 or FH101_35) Father’s education (EDUCDAD) Mother’s education (EDUCMOM) Father’s occupation (OCCUPDAD) Mother’s occupation (OCUPMOM) Mother’s marital status (MARITMOM) Mother’s employment status (EMPLMOM) Father’s employment status (EMPLDAD) Main wage earner (MWEARNER) Occupation, main wage earner (OCCUPMWE) Husband or father of baby present in household (DADHOME)

Impute for all mothers enrolled in CPP Continuous Categorical Categorical Categorical Categorical Categorical Categorical Categorical Categorical Categorical Categorical Categorical Categorical

Parental socioeconomic status assessed at age-7 interview Mother’s occupation (FH209_51)

Items come from combining FHH-1 / SE1 forms. Unknown set to missing.

Impute for all mothers whose children survived through age 7 Categorical

Construct Father’s occupation (FH209_54) Foster/adoptive mother’s occupation (FH109_60) Foster/adoptive father’s occupation (FH109_62) Who child lives with (FH109_38, FH109_45) Maternal smoking during pregnancy Maximum number of cigarettes smoked per day during 1st trimester (CIGMAX1) Maximum number of cigarettes smoked per day during 2nd trimester (CIGMAX2) Maximum number of cigarettes smoked per day during 3rd trimester (CIGMAX3) Prenatal Factors HEMO RDS APNEA TOX HYPER3RD HYPO3RD PPREV ABRUPT SHOCK KNOT CRDNCK PROLAP LABOR20 ASPHYX BREECH

Treatment of missing data in the nonimputed dataset Unknown set to missing.

Imputation rule Categorical Categorical Categorical Categorical Impute for all mothers enrolled in CPP Count

Unknown or no prenatal visits during a trimester set to missing.

Count Count

Impute for all mothers enrolled in CPP

0/1 variables used in the construction of NWCRNNS

0/1 variables used in the construction of NWAHYP2

PREMIE Age 4 Psychological Examination DEPRESS HYPERAC OPPOSITE

Continuous Continuous Continuous

Construct

Treatment of missing data in the nonimputed dataset

Imputation rule

Stanford-Binet IQ Score (PS120_30)

Continuous

Age 7 Psychological Examination SHYDEP CONDUCT OUTGO Verbal IQ Score (PS230_49) Performance IQ Score (PS230_54) Full Scale IQ Score (PS230_60) WRAT math score (ASTAND) WRAT spelling score (SSTAND) WRAT reading (RSTAND)

Continuous Continuous Continuous Continuous Continuous Continuous Continuous Continuous Continuous

Variables to derive after imputation: OCCUPATION_BIRTH, OCCUPATION_7, OCCUPATION CIGMAX, CIGMEAN1, CIGMEAN2, CIGMEAN3, CIGTOT1, CIGTOT2, CIGTOT3, CIGTOT NWCRNNS NWAHYP2 PD_COMP CROWDING: array unweda (4) se201_42 fh101_37 se201_40 fh101_35; do i=1 to 4; if unweda(i)=88 then do; unwed=1; unweda(i)=.; end; end; drop i; persons=max(of se201_42,fh101_37); rooms=max(of se201_40,fh101_35); persons_room=persons/rooms; if unwed=1 then crowding=-1; if 0=1.5 then crowding=2;

CPP imputation codebook.pdf

... data in the non- imputed dataset. Imputation rule. Child Demographics Impute for all live-born children. Child's race (NCPP_RACE) Use data from all sources, ...

219KB Sizes 5 Downloads 143 Views

Recommend Documents

CPP-Quechua.pdf
Whoops! There was a problem loading more pages. CPP-Quechua.pdf. CPP-Quechua.pdf. Open. Extract. Open with. Sign In. Main menu. Displaying ...

c++ cpp reference & examples.pdf
There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the apps below to open or edit this item. Main menu.

Object Oriented Concepts and CPP Programming.pdf
[b] Explain inline functions by example. List out the conditions where inline. expansion doesn't work. 07. 07. Q. 5 [a] Define manipulators. What are the ...

Summary of CPP Study Design and Baseline Data Collection.pdf ...
Summary of CPP Study Design and Baseline Data Collection.pdf. Summary of CPP Study Design and Baseline Data Collection.pdf. Open. Extract. Open with.

Download-This-File-CPP-Exam-Self-P.pdf
Each question comes with an answer and a short explanation which aids you in seeking further study .... CAE EXAM SELF-PRACTICE REVIEW QUESTIONS FOR CERTIFIED ASSOCIATION ... Download-This-File-CPP-Exam-Self-P.pdf.

Two-way imputation: A Bayesian method for estimating ...
Dec 17, 2006 - Involved methods often use data augmentation (Tanner and Wong, 1987) for estimation of the imputation model. Examples are multiple.

When Can Multiple Imputation Improve Regression ...
Jun 30, 2017 - Observational data in the social sciences are often incomplete. ... authors' websites: https://dataverse.harvard.edu/dataverse/pan, ... Pr(A = 1|X), that is, that the probability of data present on all variables does not depend on Y , 

Survey Data Imputation with PROC SURVEYIMPUTE - SAS Support
defined as the observation unit that provides the imputed values. ... analysis. In addition, the SAS/STAT survey procedures support the NOMCAR option in the ...

Survey Data Imputation with PROC SURVEYIMPUTE - SAS Support
Most commonly, imputation and analysis are two different tasks that are performed .... Suppose you want to impute the missing values in the Asthma data by ...

Examining the Imputation of the Active Obedience of Christ.pdf ...
Examining the Imputation of the Active Obedience of Christ.pdf. Examining the Imputation of the Active Obedience of Christ.pdf. Open. Extract. Open with. Sign In.

Imputation for statistical inference with coarse data - Wiley Online Library
1Department of Statistics, Iowa State University, Ames, IA 50011, USA. 2Korean Labor Institute, Seoul 150-740, Korea. Key words and phrases: ... Journal of the American Statistical Association, 85, 699–704] is adapted to compute the maximum likelih

Survey Data Imputation with PROC SURVEYIMPUTE - SAS Support
are available in the procedure, or call for running it in multiple steps. ..... SURVEYIMPUTE gives you a way to avoid them—the MAXEMITER=1 and REPWEIGHTSTYPE=NONE ...... In Proceedings of the SAS Global Forum 2008 Conference.

Data Enrichment and Cross Panel Imputation - Research at Google
how often they have seen it on average. ... the publisher and panel B measures desktop and mobile impressions from the ... extend previous work on the BBNBH model (Section 2) and develop a joint .... In applications we found that the additional linea

The Role of Missing Data Imputation Methods on the Accuracy of ...
The Role of Missing Data Imputation Methods on the Accuracy of Data Mining Results .pdf. The Role of Missing Data Imputation Methods on the Accuracy of ...

Appendix to The Imputation of the Active Obedience of Jesus Christ ...
Appendix to The Imputation of the Active Obedience of Jesus Christ.pdf. Appendix to The Imputation of the Active Obedience of Jesus Christ.pdf. Open. Extract.

SPSS Syntax for Missing Value Imputation in Test and ...
scores using simple methods, two SPSS subroutines were written. The aim of ... http://www.uvt.nl/faculteiten/fsw/organisatie/departementen/mto/software2.html.

Multiple Imputation of Item Scores in Test and Questionnaire Data, and ...
The performance of five simple multiple imputation methods for dealing with missing data were compared. In addition, random imputation and multivariate nor- mal imputation were used as lower and upper benchmark, respectively. Test data were simulated

Chapter 8 The Effect of Missing Data Imputation on ...
criterion in Step 1. For confirmatory test construction, the MHM is fitted to the data cor- responding to the a priori defined test consisting of J items using methods.

The Role of Missing Data Imputation Methods on the Accuracy of Data ...
The Role of Missing Data Imputation Methods on the Accuracy of Data Mining Results .pdf. The Role of Missing Data Imputation Methods on the Accuracy of ...