Comparison of models for prediction of CHD mortality without and with addition of CVD family history.

Association of hypertension categories with CVD mortality in women and men combined.

Debbie A. Lawlor (95270)
Lois Kim (353283)
Richard Morris (188011)
Antoinette Amuzu (353284)
Peter Whincup (20840)
Shah Ebrahim (27162)

February 2013

*Model 1: adjusted for sex, age (as time variable in Cox model).Model 2: additionally adju...

Comparison of cardiovascular and non cardiovascular death rates of CONTRAST patients and the Dutch general population.

Claire H. den Hoedt (151351)
Michiel L. Bots (50180)
Muriel P. C. Grooteman (151349)
Albert H. A. Mazairac (151352)
E. Lars Penne (151356)
Neelke C. van der Weerd (151348)
Piet M. ter Wee (151365)
Menso J. Nubé (151354)
Renée Levesque (404609)
Peter J. Blankestijn (151363)
Marinus A. van den Dorpel (151350)

April 2013

acalculated by the total number of people that died of cardiovascular disease (CVD) in the genera...

Comparison between ROC curves for RHF-related death prediction according to each significant characteristic with full model.

Alexandra Grosse (5571224)
Claudia Grosse (5571227)
Irene Lang (625943)

July 2018

Comparison between ROC curves for RHF-related death prediction according to each significant char...

Comparison of models for prediction of CVD mortality without and with addition of CVD family history.

Abdonas Tamosiunas (64549)
Ricardas Radisauskas (582220)
Jurate Klumbiene (314958)
Gailute Bernotiene (670265)
Janina Petkeviciene (314953)
Dalia Luksiene (582218)
Dalia Virviciute (64551)
Vilija Malinauskiene (582221)
Olga Vikhireva (548736)
Vilius Grabauskas (832785)

December 2015

Comparison of models for prediction of CVD mortality without and with addition of CVD family hist...

Comparison of all-cause mortality, cardiac death, and nonfatal MI among the groups.

Kyoung Im Cho (775367)
Soe Hee Ann (775368)
Gillian Balbir Singh (775369)
Ae-Young Her (775370)
Eun-Seok Shin (775371)

July 2015

Comparison of all-cause mortality, cardiac death, and nonfatal MI among the groups.</p

Predictors of mortality from CBVDs, using competing risks models for male.

Zhe Tang (311453)
Tao Zhou (117050)
Yanxia Luo (311452)
Changchun Xie (201545)
Da Huo (519669)
Lixin Tao (519670)
Lei Pan (191007)
Fei Sun (102854)
Huiping Zhu (294587)
Xinghua Yang (519671)
Wei Wang (17594)
Aoshuang Yan (519672)
Xia Li (14984)
Xiuhua Guo (311454)

February 2014

Predictors of mortality from CBVDs, using competing risks models for male.</p

Predictors of mortality from CBVDs, using competing risks models for female.

Zhe Tang (311453)
Tao Zhou (117050)
Yanxia Luo (311452)
Changchun Xie (201545)
Da Huo (519669)
Lixin Tao (519670)
Lei Pan (191007)
Fei Sun (102854)
Huiping Zhu (294587)
Xinghua Yang (519671)
Wei Wang (17594)
Aoshuang Yan (519672)
Xia Li (14984)
Xiuhua Guo (311454)

February 2014

Predictors of mortality from CBVDs, using competing risks models for female.</p

Predicted versus observed death registration completeness, and predicted versus observed death registration completeness by registered CDR, Model 2, both sexes.

Tim Adair (4486150)
Alan D. Lopez (250345)

May 2018

Predicted versus observed death registration completeness, and predicted versus observed death re...

Predicted versus observed death registration completeness, and predicted versus observed death registration completeness by registered CDR, Model 1, both sexes.

Tim Adair (4486150)
Alan D. Lopez (250345)

May 2018

Predicted versus observed death registration completeness, and predicted versus observed death re...

Comparison of prognostic performance between FRS and ASCVD risk score models.

Hee-Sook Lim (17879789)
Hyein Han (17879792)
Sungho Won (91486)
Sungin Ji (17879795)
Yoonhyung Park (17879798)
Hae-Young Lee (62467)

January 2024

Comparison of prognostic performance between FRS and ASCVD risk score models.</p

Comparison of the prediction of death between candidate SI models using the dataset for SI validation.

Eiichiro Kanda (52677)
Brian A. Bieber (650467)
Ronald L. Pisoni (650470)
Bruce M. Robinson (650471)
Douglas S. Fuller (747676)

June 2015

Model 3 was selected for SI, because it showed the highest c-statistic for the prediction of all-...

A cardiovascular disease policy model that predicts life expectancy taking into account socioeconomic deprivation

Lewsey, J. D.
Lawson, K. D.
Ford, I.
Fox, K. A. A.
Ritchie, L. D.
Tunstall-Pedoe, H.
Watt, G. C. M.
Woodward, M.
Kent, S.
Neilson, M.
Briggs, A. H.

February 2015

Objectives A policy model is a model that can evaluate the effectiveness and cost-effectiveness of i...

Correlation of the predicted probabilities for cardiovascular disease hospitalization and/or mortality of CKD-EPI creatinine and CKD-EPI creatinine-cystatin C equations.

Wai H. Lim (441297)
Joshua R. Lewis (441296)
Germaine Wong (187375)
Robin M. Turner (635839)
Ee M. Lim (280318)
Peter L. Thompson (635840)
Richard L. Prince (153221)

September 2014

Fully adjusted models include body mass index, previous cardiovascular disease, previous renal di...

Trading PREDICTions

Brian Cox

January 2007

Disease progression, host response, and the effects of ageing vary among individuals. When these ind...

Predicting cardiovascular disease.

Holt, T

January 2016

An over-abundance of risk models offering few real benefits to patients Emerging as a leading cause...

Association of hypertension categories with CVD mortality in women and men combined.

Debbie A. Lawlor (95270)
Lois Kim (353283)
Richard Morris (188011)
Antoinette Amuzu (353284)
Peter Whincup (20840)
Shah Ebrahim (27162)

February 2013

*Model 1: adjusted for sex, age (as time variable in Cox model).Model 2: additionally adju...

Comparison of cardiovascular and non cardiovascular death rates of CONTRAST patients and the Dutch general population.

Claire H. den Hoedt (151351)
Michiel L. Bots (50180)
Muriel P. C. Grooteman (151349)
Albert H. A. Mazairac (151352)
E. Lars Penne (151356)
Neelke C. van der Weerd (151348)
Piet M. ter Wee (151365)
Menso J. Nubé (151354)
Renée Levesque (404609)
Peter J. Blankestijn (151363)
Marinus A. van den Dorpel (151350)

April 2013

acalculated by the total number of people that died of cardiovascular disease (CVD) in the genera...

Comparison between ROC curves for RHF-related death prediction according to each significant characteristic with full model.

Alexandra Grosse (5571224)
Claudia Grosse (5571227)
Irene Lang (625943)

July 2018

Comparison between ROC curves for RHF-related death prediction according to each significant char...

Comparison of models for prediction of CVD mortality without and with addition of CVD family history.

Abdonas Tamosiunas (64549)
Ricardas Radisauskas (582220)
Jurate Klumbiene (314958)
Gailute Bernotiene (670265)
Janina Petkeviciene (314953)
Dalia Luksiene (582218)
Dalia Virviciute (64551)
Vilija Malinauskiene (582221)
Olga Vikhireva (548736)
Vilius Grabauskas (832785)

December 2015

Comparison of models for prediction of CVD mortality without and with addition of CVD family hist...

Comparison of all-cause mortality, cardiac death, and nonfatal MI among the groups.

Kyoung Im Cho (775367)
Soe Hee Ann (775368)
Gillian Balbir Singh (775369)
Ae-Young Her (775370)
Eun-Seok Shin (775371)

July 2015

Comparison of all-cause mortality, cardiac death, and nonfatal MI among the groups.</p

Predictors of mortality from CBVDs, using competing risks models for male.

Zhe Tang (311453)
Tao Zhou (117050)
Yanxia Luo (311452)
Changchun Xie (201545)
Da Huo (519669)
Lixin Tao (519670)
Lei Pan (191007)
Fei Sun (102854)
Huiping Zhu (294587)
Xinghua Yang (519671)
Wei Wang (17594)
Aoshuang Yan (519672)
Xia Li (14984)
Xiuhua Guo (311454)

February 2014

Predictors of mortality from CBVDs, using competing risks models for male.</p

Predictors of mortality from CBVDs, using competing risks models for female.

Zhe Tang (311453)
Tao Zhou (117050)
Yanxia Luo (311452)
Changchun Xie (201545)
Da Huo (519669)
Lixin Tao (519670)
Lei Pan (191007)
Fei Sun (102854)
Huiping Zhu (294587)
Xinghua Yang (519671)
Wei Wang (17594)
Aoshuang Yan (519672)
Xia Li (14984)
Xiuhua Guo (311454)

February 2014

Predictors of mortality from CBVDs, using competing risks models for female.</p

Predicted versus observed death registration completeness, and predicted versus observed death registration completeness by registered CDR, Model 2, both sexes.

Tim Adair (4486150)
Alan D. Lopez (250345)

May 2018

Predicted versus observed death registration completeness, and predicted versus observed death re...

Predicted versus observed death registration completeness, and predicted versus observed death registration completeness by registered CDR, Model 1, both sexes.

Tim Adair (4486150)
Alan D. Lopez (250345)

May 2018

Predicted versus observed death registration completeness, and predicted versus observed death re...

Comparison of prognostic performance between FRS and ASCVD risk score models.

Hee-Sook Lim (17879789)
Hyein Han (17879792)
Sungho Won (91486)
Sungin Ji (17879795)
Yoonhyung Park (17879798)
Hae-Young Lee (62467)

January 2024

Comparison of prognostic performance between FRS and ASCVD risk score models.</p

Comparison of the prediction of death between candidate SI models using the dataset for SI validation.

Eiichiro Kanda (52677)
Brian A. Bieber (650467)
Ronald L. Pisoni (650470)
Bruce M. Robinson (650471)
Douglas S. Fuller (747676)

June 2015

Model 3 was selected for SI, because it showed the highest c-statistic for the prediction of all-...

A cardiovascular disease policy model that predicts life expectancy taking into account socioeconomic deprivation

Lewsey, J. D.
Lawson, K. D.
Ford, I.
Fox, K. A. A.
Ritchie, L. D.
Tunstall-Pedoe, H.
Watt, G. C. M.
Woodward, M.
Kent, S.
Neilson, M.
Briggs, A. H.

February 2015

Objectives A policy model is a model that can evaluate the effectiveness and cost-effectiveness of i...

Correlation of the predicted probabilities for cardiovascular disease hospitalization and/or mortality of CKD-EPI creatinine and CKD-EPI creatinine-cystatin C equations.

Wai H. Lim (441297)
Joshua R. Lewis (441296)
Germaine Wong (187375)
Robin M. Turner (635839)
Ee M. Lim (280318)
Peter L. Thompson (635840)
Richard L. Prince (153221)

September 2014

Fully adjusted models include body mass index, previous cardiovascular disease, previous renal di...

Trading PREDICTions

Brian Cox

January 2007

Disease progression, host response, and the effects of ageing vary among individuals. When these ind...

Predicting cardiovascular disease.

Holt, T

January 2016

An over-abundance of risk models offering few real benefits to patients Emerging as a leading cause...

Association of hypertension categories with CVD mortality in women and men combined.

Debbie A. Lawlor (95270)
Lois Kim (353283)
Richard Morris (188011)
Antoinette Amuzu (353284)
Peter Whincup (20840)
Shah Ebrahim (27162)

February 2013

*Model 1: adjusted for sex, age (as time variable in Cox model).Model 2: additionally adju...

Comparison of cardiovascular and non cardiovascular death rates of CONTRAST patients and the Dutch general population.

Claire H. den Hoedt (151351)
Michiel L. Bots (50180)
Muriel P. C. Grooteman (151349)
Albert H. A. Mazairac (151352)
E. Lars Penne (151356)
Neelke C. van der Weerd (151348)
Piet M. ter Wee (151365)
Menso J. Nubé (151354)
Renée Levesque (404609)
Peter J. Blankestijn (151363)
Marinus A. van den Dorpel (151350)

April 2013

acalculated by the total number of people that died of cardiovascular disease (CVD) in the genera...

Comparison between ROC curves for RHF-related death prediction according to each significant characteristic with full model.

Alexandra Grosse (5571224)
Claudia Grosse (5571227)
Irene Lang (625943)

July 2018

Comparison between ROC curves for RHF-related death prediction according to each significant char...

Comparison of models for prediction of CHD mortality without and with addition of CVD family history.

Abstract

Extracted data

Topics

Comparison of models for prediction of CHD mortality without and with addition of CVD family history.

Abstract

Extracted data

Topics

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