Clinical graphs using SAS:
SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinic...
Saved in:
Main Author: | |
---|---|
Format: | Electronic eBook |
Language: | English |
Published: |
Cary, NC
SAS Institute
[2016]
|
Subjects: | |
Links: | https://learning.oreilly.com/library/view/-/9781629602059/?ar |
Summary: | SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinical Graphs Using SAS® provides the knowledge, the code, and real-world examples that enable you to create common clinical graphs using SAS graphics tools, such as the Statistical Graphics procedures and the Graph Template Language. This book describes detailed processes to create many commonly used graphs in the Health and Life Sciences industry. For SAS® 9.3 and SAS® 9.4 it covers many improvements in the graphics features that are supported by the Statistical Graphics procedures and the Graph Template Language, many of which are a direct result of the needs of the Health and Life Sciences community. With the addition of new features in SAS® 9.4, these graphs become positively easy to create. Topics covered include the usage of SGPLOT procedure, the SGPANEL procedure and the Graph Template Language for the creation of graphs like forest plots, swimmer plots, and survival plots. |
Item Description: | Includes index. - Online resource; title from title page (Safari, viewed March 31, 2016) |
Physical Description: | 1 online resource (1 volume) illustrations |
ISBN: | 9781629602059 1629602051 1629602078 9781629602073 1629597015 9781629597010 |
Staff View
MARC
LEADER | 00000cam a22000002c 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-04766276X | ||
003 | DE-627-1 | ||
005 | 20240228120053.0 | ||
007 | cr uuu---uuuuu | ||
008 | 191023s2016 xx |||||o 00| ||eng c | ||
020 | |a 9781629602059 |9 978-1-62960-205-9 | ||
020 | |a 1629602051 |9 1-62960-205-1 | ||
020 | |a 1629602078 |9 1-62960-207-8 | ||
020 | |a 9781629602073 |c electronic bk. |9 978-1-62960-207-3 | ||
020 | |a 1629597015 |9 1-62959-701-5 | ||
020 | |a 9781629597010 |9 978-1-62959-701-0 | ||
035 | |a (DE-627-1)04766276X | ||
035 | |a (DE-599)KEP04766276X | ||
035 | |a (ORHE)9781629602059 | ||
035 | |a (DE-627-1)04766276X | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
072 | 7 | |a MAT |2 bisacsh | |
072 | 7 | |a MAT |2 bisacsh | |
082 | 0 | |a 519.5 |2 23 | |
100 | 1 | |a Matange, Sanjay |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a Clinical graphs using SAS |c Sanjay Matange |
264 | 1 | |a Cary, NC |b SAS Institute |c [2016] | |
264 | 4 | |c ©2016 | |
300 | |a 1 online resource (1 volume) |b illustrations | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Includes index. - Online resource; title from title page (Safari, viewed March 31, 2016) | ||
520 | |a SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinical Graphs Using SAS® provides the knowledge, the code, and real-world examples that enable you to create common clinical graphs using SAS graphics tools, such as the Statistical Graphics procedures and the Graph Template Language. This book describes detailed processes to create many commonly used graphs in the Health and Life Sciences industry. For SAS® 9.3 and SAS® 9.4 it covers many improvements in the graphics features that are supported by the Statistical Graphics procedures and the Graph Template Language, many of which are a direct result of the needs of the Health and Life Sciences community. With the addition of new features in SAS® 9.4, these graphs become positively easy to create. Topics covered include the usage of SGPLOT procedure, the SGPANEL procedure and the Graph Template Language for the creation of graphs like forest plots, swimmer plots, and survival plots. | ||
630 | 2 | 0 | |a SAS (Computer file) |
650 | 0 | |a Mathematical statistics |x Data processing | |
650 | 4 | |a SAS (Computer file) | |
650 | 4 | |a Statistique mathématique ; Informatique | |
650 | 4 | |a MATHEMATICS ; Applied | |
650 | 4 | |a MATHEMATICS ; Probability & Statistics ; General | |
650 | 4 | |a Mathematical statistics ; Data processing | |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781629602059/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
912 | |a ZDB-30-ORH | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Record in the Search Index
DE-BY-TUM_katkey | ZDB-30-ORH-04766276X |
---|---|
_version_ | 1833357071445131264 |
adam_text | |
any_adam_object | |
author | Matange, Sanjay |
author_facet | Matange, Sanjay |
author_role | aut |
author_sort | Matange, Sanjay |
author_variant | s m sm |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)04766276X (DE-599)KEP04766276X (ORHE)9781629602059 |
dewey-full | 519.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5 |
dewey-search | 519.5 |
dewey-sort | 3519.5 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02979cam a22005172c 4500</leader><controlfield tag="001">ZDB-30-ORH-04766276X</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120053.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781629602059</subfield><subfield code="9">978-1-62960-205-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1629602051</subfield><subfield code="9">1-62960-205-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1629602078</subfield><subfield code="9">1-62960-207-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781629602073</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-62960-207-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1629597015</subfield><subfield code="9">1-62959-701-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781629597010</subfield><subfield code="9">978-1-62959-701-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)04766276X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP04766276X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781629602059</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)04766276X</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">MAT</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">MAT</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.5</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Matange, Sanjay</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Clinical graphs using SAS</subfield><subfield code="c">Sanjay Matange</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cary, NC</subfield><subfield code="b">SAS Institute</subfield><subfield code="c">[2016]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 volume)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes index. - Online resource; title from title page (Safari, viewed March 31, 2016)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinical Graphs Using SAS® provides the knowledge, the code, and real-world examples that enable you to create common clinical graphs using SAS graphics tools, such as the Statistical Graphics procedures and the Graph Template Language. This book describes detailed processes to create many commonly used graphs in the Health and Life Sciences industry. For SAS® 9.3 and SAS® 9.4 it covers many improvements in the graphics features that are supported by the Statistical Graphics procedures and the Graph Template Language, many of which are a direct result of the needs of the Health and Life Sciences community. With the addition of new features in SAS® 9.4, these graphs become positively easy to create. Topics covered include the usage of SGPLOT procedure, the SGPANEL procedure and the Graph Template Language for the creation of graphs like forest plots, swimmer plots, and survival plots.</subfield></datafield><datafield tag="630" ind1="2" ind2="0"><subfield code="a">SAS (Computer file)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Mathematical statistics</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">SAS (Computer file)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistique mathématique ; Informatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MATHEMATICS ; Applied</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MATHEMATICS ; Probability & Statistics ; General</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical statistics ; Data processing</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781629602059/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-04766276X |
illustrated | Illustrated |
indexdate | 2025-05-28T09:45:51Z |
institution | BVB |
isbn | 9781629602059 1629602051 1629602078 9781629602073 1629597015 9781629597010 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 online resource (1 volume) illustrations |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | SAS Institute |
record_format | marc |
spelling | Matange, Sanjay VerfasserIn aut Clinical graphs using SAS Sanjay Matange Cary, NC SAS Institute [2016] ©2016 1 online resource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from title page (Safari, viewed March 31, 2016) SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinical Graphs Using SAS® provides the knowledge, the code, and real-world examples that enable you to create common clinical graphs using SAS graphics tools, such as the Statistical Graphics procedures and the Graph Template Language. This book describes detailed processes to create many commonly used graphs in the Health and Life Sciences industry. For SAS® 9.3 and SAS® 9.4 it covers many improvements in the graphics features that are supported by the Statistical Graphics procedures and the Graph Template Language, many of which are a direct result of the needs of the Health and Life Sciences community. With the addition of new features in SAS® 9.4, these graphs become positively easy to create. Topics covered include the usage of SGPLOT procedure, the SGPANEL procedure and the Graph Template Language for the creation of graphs like forest plots, swimmer plots, and survival plots. SAS (Computer file) Mathematical statistics Data processing Statistique mathématique ; Informatique MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing |
spellingShingle | Matange, Sanjay Clinical graphs using SAS SAS (Computer file) Mathematical statistics Data processing Statistique mathématique ; Informatique MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing |
title | Clinical graphs using SAS |
title_auth | Clinical graphs using SAS |
title_exact_search | Clinical graphs using SAS |
title_full | Clinical graphs using SAS Sanjay Matange |
title_fullStr | Clinical graphs using SAS Sanjay Matange |
title_full_unstemmed | Clinical graphs using SAS Sanjay Matange |
title_short | Clinical graphs using SAS |
title_sort | clinical graphs using sas |
topic | SAS (Computer file) Mathematical statistics Data processing Statistique mathématique ; Informatique MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing |
topic_facet | SAS (Computer file) Mathematical statistics Data processing Statistique mathématique ; Informatique MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing |
work_keys_str_mv | AT matangesanjay clinicalgraphsusingsas |