Results from the predictive model for the probability of mortality based on the programmatic compliance score.

Predictor markers of mortality (using the final outcome as the reference).

Yubhisha Dabas (5130779)
Anant Mohan (134924)
Immaculata Xess (4329532)

April 2018

Predictor markers of mortality (using the final outcome as the reference).</p

Observed mortality (with 95% CI) and mean predicted mortality by severity score.

Gideon O. Emukule (542444)
Meredith McMorrow (542445)
Chulie Ulloa (542446)
Sammy Khagayi (382839)
Henry N. Njuguna (386760)
Deron Burton (331805)
Joel M. Montgomery (268586)
Philip Muthoka (348823)
Mark A. Katz (310324)
Robert F. Breiman (153635)
Joshua A. Mott (382843)

March 2014

Observed mortality (with 95% CI) and mean predicted mortality by severity score.</p

Trading PREDICTions

Brian Cox

January 2007

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

Relationship between the programmatic compliance score and mortality.

Viviane D. Lima (118005)
Adrian Le (118010)
Bohdan Nosyk (118015)
Rolando Barrios (118021)
Benita Yip (118024)
Robert S. Hogg (118028)
P. Richard Harrigan (7889)
Julio S. G. Montaner (118033)

November 2012

(A) Bivariable associations between each of programmatic compliance score components and mortalit...

Predictive accuracy of scoring models for mortality during a three-year follow-up period.

Simona Littnerova (293652)
Petr Kala (49855)
Jiri Jarkovsky (293651)
Lenka Kubkova (727323)
Krystyna Prymusova (727324)
Petr Kubena (727325)
Martin Tesak (727326)
Ondrej Toman (727327)
Martin Poloczek (49862)
Jindrich Spinar (293654)
Ladislav Dusek (5662117)
Jiri Parenica (293645)

April 2015

Predictive accuracy of scoring models for mortality during a three-year follow-up period.</p

Performance measures for different cut-offs of predicted probability of mortality for the final model.

David J. McLernon (110505)
John F. Dillon (110507)
Frank M. Sullivan (110508)
Paul Roderick (14856)
William M. Rosenberg (110512)
Stephen D. Ryder (110515)
Peter T. Donnan (110517)

December 2012

Cut-offs at: a50th; b75th; c90th; d95th; e...

Performance measures for different cut-offs of predicted probability of mortality for the final model excluding all LFT terms.

David J. McLernon (110505)
John F. Dillon (110507)
Frank M. Sullivan (110508)
Paul Roderick (14856)
William M. Rosenberg (110512)
Stephen D. Ryder (110515)
Peter T. Donnan (110517)

December 2012

Cut-offs at: a50th; b75th; c90th; d95th; e...

Prediction for Mortality by univariable Cox proportional hazard regression analysis.

Dan Liu (108669)
Kai Hu (311882)
Stefan Störk (387055)
Sebastian Herrmann (387053)
Bastian Kramer (679452)
Maja Cikes (387054)
Philipp Daniel Gaudron (387057)
Stefan Knop (387059)
Georg Ertl (334458)
Bart Bijnens (387061)
Frank Weidemann (387062)

December 2014

CI: confidence interval. For abbreviations, see <a href="http://www.plosone.org/article/info:doi/...

Predicted probabilities of mortality associated with the best-ranked logistic regression model.

Alison K. Macalady (558904)
Harald Bugmann (379827)

May 2014

The figure shows predicted survival probabilities associated with the best-ranked growth-mortalit...

The probability of death predicted by the REMS, RAPS, and MEWS scoring systems.

Chen-June Seak (575108)
David Hung-Tsang Yen (386122)
Chip-Jin Ng (4383127)
Yon-Cheong Wong (4439173)
Kuang-Hung Hsu (477435)
Joanna Chen-Yeen Seak (4439176)
Hsien-Yi Chen (4439182)
Chen-Ken Seak (4439179)

September 2017

The probability of death predicted by the REMS, RAPS, and MEWS scoring systems.</p

Mortality prediction performance of death counting as a function of the number of similar patients used in training.

Joon Lee (75830)
David M. Maslove (740169)
Joel A. Dubin (740170)

May 2015

The results shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.012742...

Observed vs.Model-predicted 1-year mortality in risk groups: Hosmer-Lemeshow goodness of fit test for risk score mortality indicated a good calibration (p = 0.5559), the predicted mortality rates corresponded with the observed mortality rates in each decile.

Sayma Sabrina Khanam (6018812)
Eunhee Choi (831551)
Jung-Woo Son (4725327)
Jun-Won Lee (6018815)
Young Jin Youn (6018818)
Junghan Yoon (6018821)
Seung-Hwan Lee (231008)
Jang-Young Kim (164528)
Sung Gyun Ahn (6018824)
Min-Soo Ahn (6018827)
Seok-Min Kang (515269)
Sang Hong Baek (515260)
Eun-Seok Jeon (4694053)
Jae-Joong Kim (3992912)
Myeong-Chan Cho (386283)
Shung Chull Chae (4694056)
Byung-Hee Oh (281500)
Dong-Ju Choi (515270)
Byung-Su Yoo (515249)

November 2018

Observed vs.Model-predicted 1-year mortality in risk groups: Hosmer-Lemeshow goodness of fit test fo...

Validation of a New Predictive Risk Model: Measuring the Impact of the Major Modifiable Risks of Death for Patients and Populations

Lim, Stephen S
Carnahan, Emily
Nelson, Eugene C
Gillespie, Catherine W
Mokdad, Ali H
Murray, Christopher J. L.
Fisher, Elliott S.

October 2015

Background: Modifiable risks account for a large fraction of disease and death, but clinicians and p...

Tutorial in Biostatistics: Multivariable prognostic models. Statistics in Medicine

Frank E. Harrell
Kerry L. Lee
Daniel
B. Mark

January 1996

Multivariable regression models are powerful tools that are used frequently in studies of clinical o...

Predictive multivariate regression model of mortality, age and outcomes in studied patients.

Jose Carlos Bonjorno Junior (6444185)
Flávia Rossi Caruso (6444188)
Renata Gonçalves Mendes (841104)
Tamara Rodrigues da Silva (6444191)
Thaís Marina Pires de Campos Biazon (6444194)
Francini Rangel (6444197)
Shane A. Phillips (6299786)
Ross Arena (841106)
Audrey Borghi-Silva (526507)

April 2019

Predictive multivariate regression model of mortality, age and outcomes in studied patients.</p

Predictor markers of mortality (using the final outcome as the reference).

Yubhisha Dabas (5130779)
Anant Mohan (134924)
Immaculata Xess (4329532)

April 2018

Predictor markers of mortality (using the final outcome as the reference).</p

Observed mortality (with 95% CI) and mean predicted mortality by severity score.

Gideon O. Emukule (542444)
Meredith McMorrow (542445)
Chulie Ulloa (542446)
Sammy Khagayi (382839)
Henry N. Njuguna (386760)
Deron Burton (331805)
Joel M. Montgomery (268586)
Philip Muthoka (348823)
Mark A. Katz (310324)
Robert F. Breiman (153635)
Joshua A. Mott (382843)

March 2014

Observed mortality (with 95% CI) and mean predicted mortality by severity score.</p

Trading PREDICTions

Brian Cox

January 2007

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

Relationship between the programmatic compliance score and mortality.

Viviane D. Lima (118005)
Adrian Le (118010)
Bohdan Nosyk (118015)
Rolando Barrios (118021)
Benita Yip (118024)
Robert S. Hogg (118028)
P. Richard Harrigan (7889)
Julio S. G. Montaner (118033)

November 2012

(A) Bivariable associations between each of programmatic compliance score components and mortalit...

Predictive accuracy of scoring models for mortality during a three-year follow-up period.

Simona Littnerova (293652)
Petr Kala (49855)
Jiri Jarkovsky (293651)
Lenka Kubkova (727323)
Krystyna Prymusova (727324)
Petr Kubena (727325)
Martin Tesak (727326)
Ondrej Toman (727327)
Martin Poloczek (49862)
Jindrich Spinar (293654)
Ladislav Dusek (5662117)
Jiri Parenica (293645)

April 2015

Predictive accuracy of scoring models for mortality during a three-year follow-up period.</p

Performance measures for different cut-offs of predicted probability of mortality for the final model.

David J. McLernon (110505)
John F. Dillon (110507)
Frank M. Sullivan (110508)
Paul Roderick (14856)
William M. Rosenberg (110512)
Stephen D. Ryder (110515)
Peter T. Donnan (110517)

December 2012

Cut-offs at: a50th; b75th; c90th; d95th; e...

Performance measures for different cut-offs of predicted probability of mortality for the final model excluding all LFT terms.

David J. McLernon (110505)
John F. Dillon (110507)
Frank M. Sullivan (110508)
Paul Roderick (14856)
William M. Rosenberg (110512)
Stephen D. Ryder (110515)
Peter T. Donnan (110517)

December 2012

Cut-offs at: a50th; b75th; c90th; d95th; e...

Prediction for Mortality by univariable Cox proportional hazard regression analysis.

Dan Liu (108669)
Kai Hu (311882)
Stefan Störk (387055)
Sebastian Herrmann (387053)
Bastian Kramer (679452)
Maja Cikes (387054)
Philipp Daniel Gaudron (387057)
Stefan Knop (387059)
Georg Ertl (334458)
Bart Bijnens (387061)
Frank Weidemann (387062)

December 2014

CI: confidence interval. For abbreviations, see <a href="http://www.plosone.org/article/info:doi/...

Predicted probabilities of mortality associated with the best-ranked logistic regression model.

Alison K. Macalady (558904)
Harald Bugmann (379827)

May 2014

The figure shows predicted survival probabilities associated with the best-ranked growth-mortalit...

The probability of death predicted by the REMS, RAPS, and MEWS scoring systems.

Chen-June Seak (575108)
David Hung-Tsang Yen (386122)
Chip-Jin Ng (4383127)
Yon-Cheong Wong (4439173)
Kuang-Hung Hsu (477435)
Joanna Chen-Yeen Seak (4439176)
Hsien-Yi Chen (4439182)
Chen-Ken Seak (4439179)

September 2017

The probability of death predicted by the REMS, RAPS, and MEWS scoring systems.</p

Mortality prediction performance of death counting as a function of the number of similar patients used in training.

Joon Lee (75830)
David M. Maslove (740169)
Joel A. Dubin (740170)

May 2015

The results shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.012742...

Observed vs.Model-predicted 1-year mortality in risk groups: Hosmer-Lemeshow goodness of fit test for risk score mortality indicated a good calibration (p = 0.5559), the predicted mortality rates corresponded with the observed mortality rates in each decile.

Sayma Sabrina Khanam (6018812)
Eunhee Choi (831551)
Jung-Woo Son (4725327)
Jun-Won Lee (6018815)
Young Jin Youn (6018818)
Junghan Yoon (6018821)
Seung-Hwan Lee (231008)
Jang-Young Kim (164528)
Sung Gyun Ahn (6018824)
Min-Soo Ahn (6018827)
Seok-Min Kang (515269)
Sang Hong Baek (515260)
Eun-Seok Jeon (4694053)
Jae-Joong Kim (3992912)
Myeong-Chan Cho (386283)
Shung Chull Chae (4694056)
Byung-Hee Oh (281500)
Dong-Ju Choi (515270)
Byung-Su Yoo (515249)

November 2018

Observed vs.Model-predicted 1-year mortality in risk groups: Hosmer-Lemeshow goodness of fit test fo...

Validation of a New Predictive Risk Model: Measuring the Impact of the Major Modifiable Risks of Death for Patients and Populations

Lim, Stephen S
Carnahan, Emily
Nelson, Eugene C
Gillespie, Catherine W
Mokdad, Ali H
Murray, Christopher J. L.
Fisher, Elliott S.

October 2015

Background: Modifiable risks account for a large fraction of disease and death, but clinicians and p...

Tutorial in Biostatistics: Multivariable prognostic models. Statistics in Medicine

Frank E. Harrell
Kerry L. Lee
Daniel
B. Mark

January 1996

Multivariable regression models are powerful tools that are used frequently in studies of clinical o...

Predictive multivariate regression model of mortality, age and outcomes in studied patients.

Jose Carlos Bonjorno Junior (6444185)
Flávia Rossi Caruso (6444188)
Renata Gonçalves Mendes (841104)
Tamara Rodrigues da Silva (6444191)
Thaís Marina Pires de Campos Biazon (6444194)
Francini Rangel (6444197)
Shane A. Phillips (6299786)
Ross Arena (841106)
Audrey Borghi-Silva (526507)

April 2019

Predictive multivariate regression model of mortality, age and outcomes in studied patients.</p

Predictor markers of mortality (using the final outcome as the reference).

Yubhisha Dabas (5130779)
Anant Mohan (134924)
Immaculata Xess (4329532)

April 2018

Predictor markers of mortality (using the final outcome as the reference).</p

Observed mortality (with 95% CI) and mean predicted mortality by severity score.

Gideon O. Emukule (542444)
Meredith McMorrow (542445)
Chulie Ulloa (542446)
Sammy Khagayi (382839)
Henry N. Njuguna (386760)
Deron Burton (331805)
Joel M. Montgomery (268586)
Philip Muthoka (348823)
Mark A. Katz (310324)
Robert F. Breiman (153635)
Joshua A. Mott (382843)

March 2014

Observed mortality (with 95% CI) and mean predicted mortality by severity score.</p

Trading PREDICTions

Brian Cox

January 2007

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

Results from the predictive model for the probability of mortality based on the programmatic compliance score.

Abstract

Extracted data

Results from the predictive model for the probability of mortality based on the programmatic compliance score.

Abstract

Extracted data

Related items

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