Work

Statistical Methods for Cohort Studies of CKD: Prediction Modeling

Year: 2016

Type: review

Abstract: Prediction models are often developed in and applied to CKD populations. These models can be used to inform patients and clinicians about the potential risks of disease development or progression. With increasing availability of large datasets from CKD cohorts, there is opportunity to develop better prediction models that will lead to more informed treatment decisions. It is important that prediction modeling be done using appropriate statistical methods to achieve the highest accuracy, while avoiding overfitting and poor calibration. In this paper, we review prediction modeling methods in general from model building to assessing model performance as well as the application to new patient populations. Throughout, the methods are illustrated using data from the Chronic Renal Insufficiency Cohort Study.

Source: Clinical Journal of the American Society of Nephrology

DOI: 10.2215/cjn.06210616

Authors: Jason Roy, Haochang Shou, Dawei Xie, Jesse Y. Hsu, Wei Yang, Amanda H. Anderson, J. Richard Landis, Christopher Jepson, Jiang He, Kathleen D. Liu, Chi-yuan Hsu, Harold I. Feldman, on behalf of the Chronic Renal Insufficiency Cohort (CRIC) Study Investigators

Institutions: University of Pennsylvania, Tulane University, University of California, San Francisco, Kaiser Permanente, Kaiser Permanente Northern California

Language: English

Topic: Statistical Methods in Epidemiology

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institute of Diabetes and Digestive and Kidney Diseases

Awards: Modifiable and Biochemical Predictors and Consequences of Acute Kidney Injury, Continuation of the Chronic Renal Insufficiency Cohort (CRIC) Study, "Validation of Novel CKD Biomarkers in CRIC", A pilot trial of an intervention to support initial type 2 diabetes selfmanagement among younger adults with children., Prospective renal insufficiency cohort evaluation: PRICE, Chronic Renal Insufficiency Cohort (CRIC) Study Clinical Center, Continuation of the Chronic Renal Insufficiency Cohort (CRIC), Continuation of the University of Illinois Chicago CRIC Clinical Center, Limited Competition for the Continuation of the Chronic Renal Insufficiency Cohort (CRIC) Hopkins Clinical Center, Tulane Clinical Center for Chronic Renal Insufficiency Cohort Study, Chronic Renal Insufficiency Cohort Limited competition continuation, Chronic Renal Insufficiency Cohort (CRIC) Study

OpenAlex ID: W2521505892

FWCI: 0.33

Cites: 59

Cited by: 36

Related to: 10