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# Instances: 3189 / # Attributes: 10
HDF5 (163.9 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format

arff

Name

csb-ch20

Version mldata

0

Comment

---

                  Data Diskette for
              CASE STUDIES IN BIOMETRY

By Nicholas Lange, Louise Ryan and Lynne Brillard, David Brillinger, Loveday Conquest, Joel Greenhouse.

Published by John Wiley & Sons, Inc., copyright 1994.

---

You have obtained all of the data used by all of the authors in the twenty-one chapters of Case Studies in Biometry.

Each chapter contains either one or two data sets, except for Chapter 19, which has seven data sets. Corresponding to each data set are ASCII files with extensions ".dat" (the data), ".txt" (the data description file), and ".sas" (a simple SAS program to read the .dat file).

For chapters containing only one data set, the file name prefix is "ch" followed by chapter number, and then the above extensions. For instance, for Chapter 2 you will find files "ch2.dat", "ch2.txt", and "ch2.sas".

For chapters containing two data sets, the letters "a" and "b" are added after the chapter number. For instance, for Chapter 1, you will find the files "ch1a.dat", "ch1a.txt", "ch1a.sas", "ch1b.dat", "ch1b.txt", "ch1b.sas".

For chapter 19, there are seven data sets, ch19a.dat through ch19g.dat. Each one has the same format, but refers to different subsets of the whole data set. Details are given in the single text file, ch19.txt.

Please note permissions and usage information included in the .txt file for each subset.

---

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% File: ch20.dat %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% File specific Information: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

CASE STUDIES IN BIOMETRY: Chapter 20.

Two-Stage Sampling Designs for Adolescent Depression Studies

Cheryl L. Addy, Kirby L. Jackson, Robert E. McKeown, Jennifer L. Waller, Carol Z. Garrison

The file ch20.dat contains the following variables:

id subject identifier clinical indicator for selection into clinical sample: 1=in clinical sample; 0=not in clinical sample stratum stratum membership: 1=high screen; 2=low screen blacks; 3=low screen whites race subject's self-reported race: 1=white; 2=black gender subject's gender: 1=male; 2=female rparents subject's guardian status: 1=does not live with both natural parents; 0=lives with both natural parents cesdtot subject's total center for epidemiologic studies depression scale score (range 0-60) cohtot subject's total cohesion score, based on faces-ii (range 16-80) mdd clinical diagnosis of major depression: 1=positive diagnosis; 0=negative diagnosis 9=missing for subjects not in clinical sample weight sampling weights used in logistic regression; defined as number of subjects in screening sample in each stratum

The authors hereby give permission to redistribute this data set. The authors retain the copyright to these data but allow that the data set can be used freely for noncommercial purposes and can be freely distributed.

Information about the dataset CLASSTYPE: numeric CLASSINDEX: none specific

Names

id,clinical,stratum,race,gender,rparents,cesdtot,cohtot,mdd,weight,

Types

1. numeric
2. nominal:0,1
3. numeric
4. nominal:1,2
5. nominal:1,2
6. nominal:0,1
7. numeric
8. numeric
9. numeric
10. numeric

Data (first 10 data points)

id	clin...	stra...	race	gender	rpar...	cesd...	cohtot	mdd	weight
1.0	0.0	3.0	1.0	1.0	0.0	3.0	80.0	9.0	2332.0
2.0	0.0	3.0	1.0	1.0	0.0	17.0	57.1	9.0	2332.0
3.0	0.0	3.0	1.0	1.0	1.0	17.0	36.3	9.0	2332.0
4.0	0.0	3.0	1.0	2.0	0.0	17.0	44.0	9.0	2332.0
5.0	0.0	3.0	1.0	1.0	1.0	19.0	46.0	9.0	2332.0
6.0	0.0	1.0	1.0	2.0	0.0	31.0	40.0	9.0	417.0
7.0	0.0	3.0	1.0	2.0	0.0	26.0	60.0	9.0	2332.0
8.0	0.0	3.0	1.0	1.0	1.0	2.0	64.0	9.0	2332.0
9.0	0.0	3.0	1.0	1.0	0.0	10.0	76.0	9.0	2332.0
10.0	1.0	1.0	1.0	2.0	1.0	30.0	69.0	0.0	417.0
...	...	...	...	...	...	...	...	...	...

Description

A gzip'ed tar containing StatLib datasets (statlib-20050214.tar.gz, 12,785,582 Bytes)

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http://lib.stat.cmu.edu/datasets/

Measurement Details

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revision 1

by mldata on 2010-11-06 10:00

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