Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval).
<p>Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval).</p>
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2025
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| _version_ | 1851484779792302080 |
|---|---|
| author | Samantha Kanny (21673090) |
| author2 | Grisha Post (21673093) Patricia Carbajales-Dale (784882) William Cummings (21673096) Janet Evatt (21673099) Windsor Westbrook Sherrill (21673102) |
| author2_role | author author author author author |
| author_facet | Samantha Kanny (21673090) Grisha Post (21673093) Patricia Carbajales-Dale (784882) William Cummings (21673096) Janet Evatt (21673099) Windsor Westbrook Sherrill (21673102) |
| author_role | author |
| dc.creator.none.fl_str_mv | Samantha Kanny (21673090) Grisha Post (21673093) Patricia Carbajales-Dale (784882) William Cummings (21673096) Janet Evatt (21673099) Windsor Westbrook Sherrill (21673102) |
| dc.date.none.fl_str_mv | 2025-07-07T17:43:13Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pdig.0000930.t003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Odds_ratio_for_participant_demographics_characteristics_Odds_Ratio_Estimate_P-Value_95_Confidence_Interval_/29495299 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Science Policy Biological Sciences not elsewhere classified utilizing machine learning shapley additive explanations promoting weight loss nearest grocery store keep vulnerable individuals improve predictive modeling growing diabetic population enhance model interpretability educational attainment ), distressed communities index auc values ranging 53 &# 8211 19 &# 8211 whitney u tests various evaluation measures program evaluation measures highest auc value utilizing participant demographics slightly higher f machine learning models improving diabetes knowledge various analyses square tests management program highest rates spatial variables south carolina participants enrolled models tested life scores influential predictors hed ). healthcare settings gaining popularity future research findings underscore examine relationships drive time downsampling yielded descriptive statistics demographic factors comparative approach care behaviors 12 quality 1 scores |
| dc.title.none.fl_str_mv | Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval). |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval).</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_f39f2301f45dfb3f5c1dac534d1c0708 |
| identifier_str_mv | 10.1371/journal.pdig.0000930.t003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29495299 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval).Samantha Kanny (21673090)Grisha Post (21673093)Patricia Carbajales-Dale (784882)William Cummings (21673096)Janet Evatt (21673099)Windsor Westbrook Sherrill (21673102)Science PolicyBiological Sciences not elsewhere classifiedutilizing machine learningshapley additive explanationspromoting weight lossnearest grocery storekeep vulnerable individualsimprove predictive modelinggrowing diabetic populationenhance model interpretabilityeducational attainment ),distressed communities indexauc values ranging53 &# 821119 &# 8211whitney u testsvarious evaluation measuresprogram evaluation measureshighest auc valueutilizing participant demographicsslightly higher fmachine learning modelsimproving diabetes knowledgevarious analysessquare testsmanagement programhighest ratesspatial variablessouth carolinaparticipants enrolledmodels testedlife scoresinfluential predictorshed ).healthcare settingsgaining popularityfuture researchfindings underscoreexamine relationshipsdrive timedownsampling yieldeddescriptive statisticsdemographic factorscomparative approachcare behaviors12 quality1 scores<p>Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval).</p>2025-07-07T17:43:13ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pdig.0000930.t003https://figshare.com/articles/dataset/Odds_ratio_for_participant_demographics_characteristics_Odds_Ratio_Estimate_P-Value_95_Confidence_Interval_/29495299CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/294952992025-07-07T17:43:13Z |
| spellingShingle | Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval). Samantha Kanny (21673090) Science Policy Biological Sciences not elsewhere classified utilizing machine learning shapley additive explanations promoting weight loss nearest grocery store keep vulnerable individuals improve predictive modeling growing diabetic population enhance model interpretability educational attainment ), distressed communities index auc values ranging 53 &# 8211 19 &# 8211 whitney u tests various evaluation measures program evaluation measures highest auc value utilizing participant demographics slightly higher f machine learning models improving diabetes knowledge various analyses square tests management program highest rates spatial variables south carolina participants enrolled models tested life scores influential predictors hed ). healthcare settings gaining popularity future research findings underscore examine relationships drive time downsampling yielded descriptive statistics demographic factors comparative approach care behaviors 12 quality 1 scores |
| status_str | publishedVersion |
| title | Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval). |
| title_full | Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval). |
| title_fullStr | Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval). |
| title_full_unstemmed | Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval). |
| title_short | Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval). |
| title_sort | Odds ratio for participant demographics characteristics (Odds Ratio Estimate, P-Value & 95% Confidence Interval). |
| topic | Science Policy Biological Sciences not elsewhere classified utilizing machine learning shapley additive explanations promoting weight loss nearest grocery store keep vulnerable individuals improve predictive modeling growing diabetic population enhance model interpretability educational attainment ), distressed communities index auc values ranging 53 &# 8211 19 &# 8211 whitney u tests various evaluation measures program evaluation measures highest auc value utilizing participant demographics slightly higher f machine learning models improving diabetes knowledge various analyses square tests management program highest rates spatial variables south carolina participants enrolled models tested life scores influential predictors hed ). healthcare settings gaining popularity future research findings underscore examine relationships drive time downsampling yielded descriptive statistics demographic factors comparative approach care behaviors 12 quality 1 scores |