lowess (locally weighted scatterplot smoothing) regression model Search Results


90
RStudio locally weighted scatterplot smoothing (lowess)
Locally Weighted Scatterplot Smoothing (Lowess), supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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locally weighted scatterplot smoothing (lowess) - by Bioz Stars, 2026-09
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90
RStudio lowess regression function on
Lowess Regression Function On, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
lowess regression function on - by Bioz Stars, 2026-09
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99
STATA Corporation scatterplot smoothing
Co‐plot of odds ratios (ORs, upper row) and Locally Weighted <t>Scatterplot</t> Smoothing curves of stage migration and determination of structural break points with the use of the Chow test (bottom row). The fitting bandwidth was 0.6. Each dot in the co‐plot represents an OR of a specific lymph node examined (LNE, vacant if case number < 10) from logistic regression analysis. ( a ) Overall patients, ( b ) adenocarcinoma patients, and ( c ) esophageal squamous cell carcinoma (ESCC) patients from the Surveillance, Epidemiology, and End Results (SEER) database; and ( d ) ESCC patients from the Thoracic Surgery Department of a single institution (SI). ( ) T1, ( ) T2, ( ) T3, and ( ) T4.
Scatterplot Smoothing, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/lowess+(locally+weighted+scatterplot+smoothing)+regression+model/STATA+12%2E0/pmc06501022-111-32-35
Average 99 stars, based on 1 article reviews
scatterplot smoothing - by Bioz Stars, 2026-09
99/100 stars
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99
STATA Corporation weighted scatterplot smoothing lowess
Co‐plot of odds ratios (ORs, upper row) and Locally Weighted <t>Scatterplot</t> Smoothing curves of stage migration and determination of structural break points with the use of the Chow test (bottom row). The fitting bandwidth was 0.6. Each dot in the co‐plot represents an OR of a specific lymph node examined (LNE, vacant if case number < 10) from logistic regression analysis. ( a ) Overall patients, ( b ) adenocarcinoma patients, and ( c ) esophageal squamous cell carcinoma (ESCC) patients from the Surveillance, Epidemiology, and End Results (SEER) database; and ( d ) ESCC patients from the Thoracic Surgery Department of a single institution (SI). ( ) T1, ( ) T2, ( ) T3, and ( ) T4.
Weighted Scatterplot Smoothing Lowess, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/lowess+(locally+weighted+scatterplot+smoothing)+regression+model/STATA+13%2E0/pmc06440851-199-13-22
Average 99 stars, based on 1 article reviews
weighted scatterplot smoothing lowess - by Bioz Stars, 2026-09
99/100 stars
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Image Search Results


Co‐plot of odds ratios (ORs, upper row) and Locally Weighted Scatterplot Smoothing curves of stage migration and determination of structural break points with the use of the Chow test (bottom row). The fitting bandwidth was 0.6. Each dot in the co‐plot represents an OR of a specific lymph node examined (LNE, vacant if case number < 10) from logistic regression analysis. ( a ) Overall patients, ( b ) adenocarcinoma patients, and ( c ) esophageal squamous cell carcinoma (ESCC) patients from the Surveillance, Epidemiology, and End Results (SEER) database; and ( d ) ESCC patients from the Thoracic Surgery Department of a single institution (SI). ( ) T1, ( ) T2, ( ) T3, and ( ) T4.

Journal: Thoracic Cancer

Article Title: Effect of lymph node examined count on accurate staging and survival of resected esophageal cancer

doi: 10.1111/1759-7714.13056

Figure Lengend Snippet: Co‐plot of odds ratios (ORs, upper row) and Locally Weighted Scatterplot Smoothing curves of stage migration and determination of structural break points with the use of the Chow test (bottom row). The fitting bandwidth was 0.6. Each dot in the co‐plot represents an OR of a specific lymph node examined (LNE, vacant if case number < 10) from logistic regression analysis. ( a ) Overall patients, ( b ) adenocarcinoma patients, and ( c ) esophageal squamous cell carcinoma (ESCC) patients from the Surveillance, Epidemiology, and End Results (SEER) database; and ( d ) ESCC patients from the Thoracic Surgery Department of a single institution (SI). ( ) T1, ( ) T2, ( ) T3, and ( ) T4.

Article Snippet: **Curves were generated using odds ratios (ORs, each LNE count compared to 1 LNE as a reference) in logistic regression analysis and hazard ratios (HRs) in Cox regression analysis using Locally Weighted Scatterplot Smoothing (LOWESS, Stata 12.0) with a bandwidth of 0.6.

Techniques: Migration

Co‐plot of hazard ratios (HRs, upper row) and Locally Weighted Scatterplot Smoothing curves of cancer‐specific survival (CSS) and determination of structural break points with use of the Chow test (bottom row). The fitting bandwidth was 0.6. Each dot in the co‐plot represents an HR of a specific lymph node examined (LNE, vacant if case number < 10) from Cox regression analysis. ( a ) Overall patients, ( b ) adenocarcinoma patients, and ( c ) esophageal squamous cell carcinoma (ESCC) patients from the Surveillance, Epidemiology, and End Results (SEER) database. ( ) T1, ( ) T2, ( ) T3, and ( ) T4.

Journal: Thoracic Cancer

Article Title: Effect of lymph node examined count on accurate staging and survival of resected esophageal cancer

doi: 10.1111/1759-7714.13056

Figure Lengend Snippet: Co‐plot of hazard ratios (HRs, upper row) and Locally Weighted Scatterplot Smoothing curves of cancer‐specific survival (CSS) and determination of structural break points with use of the Chow test (bottom row). The fitting bandwidth was 0.6. Each dot in the co‐plot represents an HR of a specific lymph node examined (LNE, vacant if case number < 10) from Cox regression analysis. ( a ) Overall patients, ( b ) adenocarcinoma patients, and ( c ) esophageal squamous cell carcinoma (ESCC) patients from the Surveillance, Epidemiology, and End Results (SEER) database. ( ) T1, ( ) T2, ( ) T3, and ( ) T4.

Article Snippet: **Curves were generated using odds ratios (ORs, each LNE count compared to 1 LNE as a reference) in logistic regression analysis and hazard ratios (HRs) in Cox regression analysis using Locally Weighted Scatterplot Smoothing (LOWESS, Stata 12.0) with a bandwidth of 0.6.

Techniques:

Co‐plot of hazard ratios (HRs, upper row) and Locally Weighted Scatterplot Smoothing curves of cancer‐specific survival (CSS) and determination of structural break points with the use of the Chow test (bottom row). The fitting bandwidth was 0.6. Each dot in the co‐plot represents an HR of a specific lymph node examined (LNE, vacant if case number < 10) from Cox regression analysis. ( a ) Node‐negative (N negative) and ( b ) node‐positive (N positive) patients. ( ) T1, ( ) T2, ( ) T3, and ( ) T4.

Journal: Thoracic Cancer

Article Title: Effect of lymph node examined count on accurate staging and survival of resected esophageal cancer

doi: 10.1111/1759-7714.13056

Figure Lengend Snippet: Co‐plot of hazard ratios (HRs, upper row) and Locally Weighted Scatterplot Smoothing curves of cancer‐specific survival (CSS) and determination of structural break points with the use of the Chow test (bottom row). The fitting bandwidth was 0.6. Each dot in the co‐plot represents an HR of a specific lymph node examined (LNE, vacant if case number < 10) from Cox regression analysis. ( a ) Node‐negative (N negative) and ( b ) node‐positive (N positive) patients. ( ) T1, ( ) T2, ( ) T3, and ( ) T4.

Article Snippet: **Curves were generated using odds ratios (ORs, each LNE count compared to 1 LNE as a reference) in logistic regression analysis and hazard ratios (HRs) in Cox regression analysis using Locally Weighted Scatterplot Smoothing (LOWESS, Stata 12.0) with a bandwidth of 0.6.

Techniques: