stata command pmcalplot Search Results


pmcalplot command  (STATA Corporation)
90
STATA Corporation pmcalplot command
Pmcalplot Command, supplied by STATA Corporation, 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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pmcalplot command - by Bioz Stars, 2026-03
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software version 16.1  (STATA Corporation)
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STATA Corporation software version 16.1
Software Version 16.1, supplied by STATA Corporation, 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
software version 16.1 - by Bioz Stars, 2026-03
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calibration plot of observed versus expected probabilities  (STATA Corporation)
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STATA Corporation calibration plot of observed versus expected probabilities
Calibration Plot Of Observed Versus Expected Probabilities, supplied by STATA Corporation, 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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calibration plot of observed versus expected probabilities - by Bioz Stars, 2026-03
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stata command pmcalplot  (STATA Corporation)
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STATA Corporation stata command pmcalplot
Stata Command Pmcalplot, supplied by STATA Corporation, 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
stata command pmcalplot - by Bioz Stars, 2026-03
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pmcalplot user-written command in  (STATA Corporation)
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STATA Corporation pmcalplot user-written command in
Pmcalplot User Written Command In, supplied by STATA Corporation, 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
pmcalplot user-written command in - by Bioz Stars, 2026-03
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stata command 'stmp2  (STATA Corporation)
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STATA Corporation stata command 'stmp2
Stata Command 'stmp2, supplied by STATA Corporation, 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
stata command 'stmp2 - by Bioz Stars, 2026-03
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calibration plot  (STATA Corporation)
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STATA Corporation calibration plot
Comparison of decision curve plots with net benefit for the relevant risk threshold between the base model (gross hematuria), base model +upper urinary tract urothelial carcinoma score, base model +bladder cancer score, and base model +upper urinary tract urothelial carcinoma +bladder cancer scores in the training cohort. (A) Decision curve plots showing the net benefit for detecting urothelial carcinoma (UC). (B) Decision curve plots showing the intervention avoided per 100 patients; plots were developed using the rmda package of R statistical software. (C) Logistic regression analysis‐based nomogram for the prediction of UC. (D) <t>Calibration</t> plot depicting the calibration of the UC nomogram. (E) Boxplot of UC and non‐UC (HV, UTI, and CYS) based on the UC nomogram, gross hematuria, and urine cytology. (F) Receiver operating characteristic curve analysis of the UC nomogram, gross hematuria, and urine cytology for the prediction of UC. UC, urothelial carcinoma; BCa, bladder cancer; HV, healthy volunteer; UTI, urinary tract infection.
Calibration Plot, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/calibration plot/product/STATA Corporation
Average 90 stars, based on 1 article reviews
calibration plot - by Bioz Stars, 2026-03
90/100 stars
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stata 16.1 software  (STATA Corporation)
90
STATA Corporation stata 16.1 software
Comparison of decision curve plots with net benefit for the relevant risk threshold between the base model (gross hematuria), base model +upper urinary tract urothelial carcinoma score, base model +bladder cancer score, and base model +upper urinary tract urothelial carcinoma +bladder cancer scores in the training cohort. (A) Decision curve plots showing the net benefit for detecting urothelial carcinoma (UC). (B) Decision curve plots showing the intervention avoided per 100 patients; plots were developed using the rmda package of R statistical software. (C) Logistic regression analysis‐based nomogram for the prediction of UC. (D) <t>Calibration</t> plot depicting the calibration of the UC nomogram. (E) Boxplot of UC and non‐UC (HV, UTI, and CYS) based on the UC nomogram, gross hematuria, and urine cytology. (F) Receiver operating characteristic curve analysis of the UC nomogram, gross hematuria, and urine cytology for the prediction of UC. UC, urothelial carcinoma; BCa, bladder cancer; HV, healthy volunteer; UTI, urinary tract infection.
Stata 16.1 Software, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/stata 16.1 software/product/STATA Corporation
Average 90 stars, based on 1 article reviews
stata 16.1 software - by Bioz Stars, 2026-03
90/100 stars
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Image Search Results


Comparison of decision curve plots with net benefit for the relevant risk threshold between the base model (gross hematuria), base model +upper urinary tract urothelial carcinoma score, base model +bladder cancer score, and base model +upper urinary tract urothelial carcinoma +bladder cancer scores in the training cohort. (A) Decision curve plots showing the net benefit for detecting urothelial carcinoma (UC). (B) Decision curve plots showing the intervention avoided per 100 patients; plots were developed using the rmda package of R statistical software. (C) Logistic regression analysis‐based nomogram for the prediction of UC. (D) Calibration plot depicting the calibration of the UC nomogram. (E) Boxplot of UC and non‐UC (HV, UTI, and CYS) based on the UC nomogram, gross hematuria, and urine cytology. (F) Receiver operating characteristic curve analysis of the UC nomogram, gross hematuria, and urine cytology for the prediction of UC. UC, urothelial carcinoma; BCa, bladder cancer; HV, healthy volunteer; UTI, urinary tract infection.

Journal: Cancer Medicine

Article Title: N ‐glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas

doi: 10.1002/cam4.3727

Figure Lengend Snippet: Comparison of decision curve plots with net benefit for the relevant risk threshold between the base model (gross hematuria), base model +upper urinary tract urothelial carcinoma score, base model +bladder cancer score, and base model +upper urinary tract urothelial carcinoma +bladder cancer scores in the training cohort. (A) Decision curve plots showing the net benefit for detecting urothelial carcinoma (UC). (B) Decision curve plots showing the intervention avoided per 100 patients; plots were developed using the rmda package of R statistical software. (C) Logistic regression analysis‐based nomogram for the prediction of UC. (D) Calibration plot depicting the calibration of the UC nomogram. (E) Boxplot of UC and non‐UC (HV, UTI, and CYS) based on the UC nomogram, gross hematuria, and urine cytology. (F) Receiver operating characteristic curve analysis of the UC nomogram, gross hematuria, and urine cytology for the prediction of UC. UC, urothelial carcinoma; BCa, bladder cancer; HV, healthy volunteer; UTI, urinary tract infection.

Article Snippet: The calibration was estimated using the Hosmer and Lemeshow goodness of fit statistics, while the calibration plot was developed using the Stata command “pmcalplot.” Calibration was assessed by comparing the predicted probability to the observed probability of UC and examined using a calibration plot and calibration slope with 95% confidence intervals (95% CIs).

Techniques: Comparison, Software, Infection

UTUC or BCa scores for the detection of conditions and comparison of decision curve plots with net benefit for the relevant risk threshold between the base model (gross hematuria) and the UC nomogram in the validation cohort. (A) ROC curve analysis of the UTUC score, gross hematuria, and urine cytology for the detection of UTUC. (B) ROC curve analysis of the BCa score, gross hematuria, and urine cytology for the detection of BCa. (C) Scatter diagram of the UTUC and BCa scores. (D) Boxplot of UC and non‐UC (HV, UTI, and CYS) based on the UC nomogram, gross hematuria, and urine cytology. (E) ROC curve analysis of the UC nomogram, gross hematuria, and urine cytology for the prediction of UC. (F) Decision curve plots showing the net benefit for detecting UC. (G) Decision curve plots showing the intervention avoided per 100 patients; plots were developed using the rmda package of R statistical software. AUC, area under curve; BCa, bladder cancer; CI, confidence interval; CITL, calibration‐in‐the‐large; HV, healthy volunteer; PPV, positive predictive value; NPV, negative predictive value; ROC, receiver operating characteristic; UC, urothelial carcinoma. UTI, urinary tract infection; UTUC, upper urinary tract urothelial carcinoma.

Journal: Cancer Medicine

Article Title: N ‐glycan signature of serum immunoglobulins as a diagnostic biomarker of urothelial carcinomas

doi: 10.1002/cam4.3727

Figure Lengend Snippet: UTUC or BCa scores for the detection of conditions and comparison of decision curve plots with net benefit for the relevant risk threshold between the base model (gross hematuria) and the UC nomogram in the validation cohort. (A) ROC curve analysis of the UTUC score, gross hematuria, and urine cytology for the detection of UTUC. (B) ROC curve analysis of the BCa score, gross hematuria, and urine cytology for the detection of BCa. (C) Scatter diagram of the UTUC and BCa scores. (D) Boxplot of UC and non‐UC (HV, UTI, and CYS) based on the UC nomogram, gross hematuria, and urine cytology. (E) ROC curve analysis of the UC nomogram, gross hematuria, and urine cytology for the prediction of UC. (F) Decision curve plots showing the net benefit for detecting UC. (G) Decision curve plots showing the intervention avoided per 100 patients; plots were developed using the rmda package of R statistical software. AUC, area under curve; BCa, bladder cancer; CI, confidence interval; CITL, calibration‐in‐the‐large; HV, healthy volunteer; PPV, positive predictive value; NPV, negative predictive value; ROC, receiver operating characteristic; UC, urothelial carcinoma. UTI, urinary tract infection; UTUC, upper urinary tract urothelial carcinoma.

Article Snippet: The calibration was estimated using the Hosmer and Lemeshow goodness of fit statistics, while the calibration plot was developed using the Stata command “pmcalplot.” Calibration was assessed by comparing the predicted probability to the observed probability of UC and examined using a calibration plot and calibration slope with 95% confidence intervals (95% CIs).

Techniques: Comparison, Biomarker Discovery, Software, Infection