{"id":1167,"date":"2020-06-02T21:06:35","date_gmt":"2020-06-03T01:06:35","guid":{"rendered":"http:\/\/www.causeweb.org\/tshs\/?p=1167"},"modified":"2023-09-09T16:12:24","modified_gmt":"2023-09-09T20:12:24","slug":"arthritis-treatment","status":"publish","type":"post","link":"https:\/\/causeweb.org\/tshs\/arthritis-treatment\/","title":{"rendered":"Arthritis Treatment"},"content":{"rendered":"

Abstract<\/h2>\n\n\n\n

Rheumatoid arthritis (RA) patients in two age ranges who were receiving care at a clinic in Philadelphia are included. Variables include age and sex, several indicators of disease activity and whether or not patients were administered selected common treatments for RA. The dataset is suitable for simple data description, chi-square tests, unpaired t-tests, and Mann-Whitney U tests.   Several variables are non-normally distributed and one is approximately normally distributed. There is extensive missing data.  Importantly, for two variables, CDAI and DAS-28, missing data is informative as it indicates true non-receipt of these tests and is a focus of the comparisons of the younger and older age groups.<\/p>\n\n\n\n

Study Design<\/th>Topic<\/th>Statistical Topic<\/th>Statistical Topic<\/th>Statistical Topic<\/th><\/tr><\/thead>
Cross-Sectional<\/td>Arthritis Treatment<\/td>Description<\/td>Two Sample Tests<\/td>Nonparametrics<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Contributor<\/h2>\n\n\n\n

The Arthritis Treatment dataset was contributed by Dr. Edward Gracely, Associate Professor, Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University. Please refer to this resource as: Edward Gracely, “Arthritis Treatment Dataset”, TSHS Resources Portal (2020)<\/em>. Available at https:\/\/www.causeweb.org\/tshs\/arthritis-treatment\/<\/a>.<\/p>\n\n\n\n

Background<\/h2>\n\n\n\n

With the availability of effective anti-RA agents, disease activity measurements can inform the specification of treatment and are part of an approach known as \u201ctreat to target\u201d.   In this study, the authors sought to explore age differences in both disease activity measurement and treatment.  Of interest was the possibility that elderly patients might be less likely to have their disease activity measured and less likely to receive aggressive treatment.<\/p>\n\n\n\n

Objective<\/h2>\n\n\n\n

The authors hypothesized that rheumatologists are less likely to measure disease activity in elderly patients and less likely to treat them to minimal disease activity.<\/p>\n\n\n\n

Subjects & Variables<\/h2>\n\n\n\n
Subject<\/th># Obs<\/th># Var<\/th>Introduction<\/th>Data Dictionary<\/th><\/tr><\/thead>
Arthritis Treatment<\/td>530<\/td>14<\/td>Arthritis Treatment Dataset Introduction<\/a><\/td>Arthritis Treatment Data Dictionary<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Data Downloads<\/strong><\/h2>\n\n\n\n
Posting Date<\/th>Contributor (email)<\/th><\/tr><\/thead>
6\/2\/20<\/td>Edward Gracely (eg26@drexel.edu<\/a>)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
R<\/th>SAS<\/th>STATA<\/th>SPSS<\/th>Minitab<\/th>Excel<\/th><\/tr><\/thead>
Arthritis Treatment-R<\/a><\/td>Arthritis Treatment-SAS<\/a><\/td>Arthritis Treatment-Stata<\/a><\/td>Arthritis Treatment-SPSS<\/a><\/td>Arthritis Treatment-Minitab<\/a><\/td>Arthritis Treatment-Excel<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

top<\/a><\/p>\n\n\n\n

Teaching Resources<\/strong><\/h2>\n\n\n\n


last updated on 6\/2\/2020<\/em><\/strong><\/p>\n\n\n\n

#<\/th>Name (link)<\/th>Posting Date<\/th>Author (email)<\/th>Type<\/th>Statistical Topic<\/th>Level<\/th>Keywords<\/th><\/tr><\/thead>
–<\/td>–<\/td>–<\/td>–<\/td>–<\/td>–<\/td>–<\/td>–<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

top<\/a><\/p>","protected":false},"excerpt":{"rendered":"

Abstract Rheumatoid arthritis (RA) patients in two age ranges who were receiving care at a clinic in Philadelphia are included. Variables include age and sex, several indicators of disease activity and whether or not patients were administered selected common treatments for RA. The dataset is suitable for simple data description, chi-square tests, unpaired t-tests, and […]<\/p>","protected":false},"author":3,"featured_media":1166,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-1167","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dataset"],"acf":[],"_links":{"self":[{"href":"https:\/\/causeweb.org\/tshs\/wp-json\/wp\/v2\/posts\/1167","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/causeweb.org\/tshs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/causeweb.org\/tshs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/causeweb.org\/tshs\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/causeweb.org\/tshs\/wp-json\/wp\/v2\/comments?post=1167"}],"version-history":[{"count":38,"href":"https:\/\/causeweb.org\/tshs\/wp-json\/wp\/v2\/posts\/1167\/revisions"}],"predecessor-version":[{"id":1734,"href":"https:\/\/causeweb.org\/tshs\/wp-json\/wp\/v2\/posts\/1167\/revisions\/1734"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/causeweb.org\/tshs\/wp-json\/wp\/v2\/media\/1166"}],"wp:attachment":[{"href":"https:\/\/causeweb.org\/tshs\/wp-json\/wp\/v2\/media?parent=1167"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/causeweb.org\/tshs\/wp-json\/wp\/v2\/categories?post=1167"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/causeweb.org\/tshs\/wp-json\/wp\/v2\/tags?post=1167"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}