{"id":31,"date":"2019-04-10T13:29:07","date_gmt":"2019-04-10T13:29:07","guid":{"rendered":"https:\/\/wp.media.unc.edu\/biostatistics\/?page_id=31"},"modified":"2020-07-07T19:09:49","modified_gmt":"2020-07-07T19:09:49","slug":"test-selections","status":"publish","type":"page","link":"https:\/\/wp.media.unc.edu\/biostatistics\/test-selections\/","title":{"rendered":"Test Selections"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Independent variable<\/th>\nDependent variable<\/th>\nCondition(s)<\/th>\nTest(s)<\/th>\n<\/tr>\n
None<\/td>\nContinuous<\/td>\nOne variable<\/td>\nOne-sample T-confidence interval<\/td>\n<\/tr>\n
Two variables  <\/p>\n
    \n
  • Parametric requirementsa<\/sup><\/li>\n
  • Nonparametric requirementsb<\/sup><\/li>\n<\/ul>\n<\/td>\n
Correlation  <\/p>\n

Spearman p<\/td>\n<\/tr>\n

None<\/td>\nDiscrete<\/td>\nOne variable<\/td>\nChi-square goodness of fit<\/td>\n<\/tr>\n
Two variables<\/td>\nChi-square test of independence<\/td>\n<\/tr>\n
Two variables, very small data sets<\/td>\nFisher exact test<\/td>\n<\/tr>\n
Discrete<\/td>\nContinuous<\/td>\nIndependent variable (two levels)c<\/sup><\/th>\n<\/tr>\n
Unpaired, parametric requirementsa<\/sup>  <\/p>\n

Unpaired, nonparametric requirementsb<\/sup><\/p>\n

Paired, parametric requirementsa<\/sup><\/p>\n

Paired, nonparametric requirementsb<\/sup><\/td>\n

Two-sample t test  <\/p>\n

Mann-Whitney U<\/p>\n

Paired t test<\/p>\n

Wilcoxon matched-pair test<\/td>\n<\/tr>\n

Independent variable (two or more levels)c<\/sup><\/th>\n<\/tr>\n
Unpaired, parametric requirementsa<\/sup>  <\/p>\n

Unpaired, nonparametric requirementsb<\/sup><\/p>\n

Paired, parametric requirementsa<\/sup><\/td>\n

One-way analysis of variance  <\/p>\n

Kruskal-Wallis<\/p>\n

Complete randomized block<\/td>\n<\/tr>\n

More than one independent variablea<\/sup><\/td>\nn-way analysis of variance<\/td>\n<\/tr>\n
Discrete<\/td>\nDiscrete<\/td>\nTwo variables<\/th>\n<\/tr>\n
Unpaired  <\/p>\n

Unpaired, very small data sets<\/p>\n

Paired<\/td>\n

Chi-square test of independence  <\/p>\n

Fisher exact test<\/p>\n

McNemar test<\/td>\n<\/tr>\n

Risk estimates<\/th>\n<\/tr>\n
Retrospective  <\/p>\n

Prospective<\/td>\n

Odds ratio  <\/p>\n

Relative risk ratio<\/td>\n<\/tr>\n

Continuous<\/td>\nContinuous<\/td>\nTwo variablesa<\/sup><\/td>\nLinear regression<\/td>\n<\/tr>\n
More than one independent variable<\/td>\nMultiple regression<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

a<\/sup>Parametric elements are those in which a population is normally distributed and the variances are approximately equal.
\nb<\/sup> Nonparametric requirements are those that do not require the data to be equally distributed and are appropriate for ordinal dependent variables.
\nc<\/sup>Levels refer to the number of possibilities in a discrete variable (e.g., three treatment options for the independent variable would indicate three treatment levels).<\/p>\n

Table borrowed from: DeMuth JE. Overview of biostatistics used in clinical research.<\/a> AJHP.<\/cite> 2008; 66:70-81.<\/p>\n

\n

\"Flow<\/a><\/p>\n

Click here for a detailed description. <\/a><\/p>\n

\n

Flow chart borrowed from: http:\/\/abacus.bates.edu\/~ganderso\/biology\/resources\/statistics.html<\/a><\/p>\n

\n","protected":false},"excerpt":{"rendered":"

Independent variable Dependent variable Condition(s) Test(s) None Continuous One variable One-sample T-confidence interval Two variables   Parametric requirementsa Nonparametric requirementsb Correlation   Spearman p None Discrete One variable Chi-square goodness of fit Two variables Chi-square test of independence Two variables, very small … Continued<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/wp.media.unc.edu\/biostatistics\/wp-json\/wp\/v2\/pages\/31"}],"collection":[{"href":"https:\/\/wp.media.unc.edu\/biostatistics\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.media.unc.edu\/biostatistics\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.media.unc.edu\/biostatistics\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.media.unc.edu\/biostatistics\/wp-json\/wp\/v2\/comments?post=31"}],"version-history":[{"count":13,"href":"https:\/\/wp.media.unc.edu\/biostatistics\/wp-json\/wp\/v2\/pages\/31\/revisions"}],"predecessor-version":[{"id":1165,"href":"https:\/\/wp.media.unc.edu\/biostatistics\/wp-json\/wp\/v2\/pages\/31\/revisions\/1165"}],"wp:attachment":[{"href":"https:\/\/wp.media.unc.edu\/biostatistics\/wp-json\/wp\/v2\/media?parent=31"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}