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Navdeep Tangri

Showing results (11-20 of 410) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|April 19, 2021
Longitudinal Studies 5: Development of Risk Prediction Models for Patients with Chronic DiseaseNavdeep Tangri, Claudio Rigatto
Clinical Journal of the American Society of Nephrology : CJASN|February 25, 2015
Predicting death without dialysis in elderly patients with CKDRanveer Brar, Navdeep Tangri
Blood Purification|June 21, 2023
Practical Utilization of Prediction Equations in Chronic Kidney DiseaseNavdeep Tangri, Thomas W Ferguson
The Journal of Thoracic and Cardiovascular Surgery|March 14, 2018
All that glitters may not be gold: Changes in serum creatinine may not be the criterion standard for acute kidney injuryRakesh C Arora, Navdeep Tangri
CMAJ : Canadian Medical Association Journal = Journal De L'Association Medicale Canadienne|May 23, 2007
Drug-eluting stentsE Liana Falcone, Navdeep Tangri
Advances in Chronic Kidney Disease|January 25, 2017
Identifying Potential Biases in the Nephrology LiteratureThomas W Ferguson, Navdeep Tangri
Kidney International|October 26, 2019
The impact of epilepsy and its treatment in patients with end-stage renal diseaseSilvia J Leon, Navdeep Tangri
The New England Journal of Medicine|November 30, 2012
Atrial fibrillation and chronic kidney diseaseManish M Sood, Navdeep Tangri
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation|January 21, 2015
Toward a modern era in clinical prediction: the TRIPOD statement for reporting prediction modelsNavdeep Tangri, David M Kent
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation|July 28, 2010
Uric acid, CKD, and cardiovascular disease: confounders, culprits, and circlesNavdeep Tangri, Daniel E Weiner
Pageof 41

Showing results (11-20 of 410) with videos related to

Sort By:
Pageof 41
Methods in Molecular Biology (Clifton, N.J.)|April 19, 2021
Longitudinal Studies 5: Development of Risk Prediction Models for Patients with Chronic DiseaseNavdeep Tangri, Claudio Rigatto
Clinical Journal of the American Society of Nephrology : CJASN|February 25, 2015
Predicting death without dialysis in elderly patients with CKDRanveer Brar, Navdeep Tangri
Blood Purification|June 21, 2023
Practical Utilization of Prediction Equations in Chronic Kidney DiseaseNavdeep Tangri, Thomas W Ferguson
The Journal of Thoracic and Cardiovascular Surgery|March 14, 2018
All that glitters may not be gold: Changes in serum creatinine may not be the criterion standard for acute kidney injuryRakesh C Arora, Navdeep Tangri
CMAJ : Canadian Medical Association Journal = Journal De L'Association Medicale Canadienne|May 23, 2007
Drug-eluting stentsE Liana Falcone, Navdeep Tangri
Advances in Chronic Kidney Disease|January 25, 2017
Identifying Potential Biases in the Nephrology LiteratureThomas W Ferguson, Navdeep Tangri
Kidney International|October 26, 2019
The impact of epilepsy and its treatment in patients with end-stage renal diseaseSilvia J Leon, Navdeep Tangri
The New England Journal of Medicine|November 30, 2012
Atrial fibrillation and chronic kidney diseaseManish M Sood, Navdeep Tangri
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation|January 21, 2015
Toward a modern era in clinical prediction: the TRIPOD statement for reporting prediction modelsNavdeep Tangri, David M Kent
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation|July 28, 2010
Uric acid, CKD, and cardiovascular disease: confounders, culprits, and circlesNavdeep Tangri, Daniel E Weiner
Pageof 41