Dietary Information Improves Model Performance and Predictive Ability of a Noninvasive Type 2 Diabetes Risk Model

The Harbin Cohort Study on Diet, Nutrition and Chronic Non-Communicable Diseases: Study Design and Baseline Characteristics

(2015) Lixin Na et al.   PLoS One

An assessment of the relationship between clinical utility and predictive ability measures and the impact of mean risk in the population

(2014) Kevin McGeechan et al.   BMC Medical Research Methodology

Fruit and vegetable intake and risk of type 2 diabetes mellitus: meta-analysis of prospective cohort studies

(2014) Min Li et al.   BMJ Open

Nonlaboratory-Based Risk Assessment Algorithm for Undiagnosed Type 2 Diabetes Developed on a Nation-Wide Diabetes Survey

(2013) X. Zhou et al.   DIABETES CARE

Changes in Red Meat Consumption and Subsequent Risk of Type 2 Diabetes Mellitus

(2013) An Pan et al.   JAMA Internal Medicine

A Simple Screening Score for Diabetes for the Korean Population: Development, validation, and comparison with other scores

(2012) Y.-h. Lee et al.   DIABETES CARE

Dietary information improves cardiovascular disease risk prediction models

(2012) I Baik et al.   EUROPEAN JOURNAL OF CLINICAL NUTRITION

Two risk score models for predicting incident Type 2 diabetes in Japan

(2011) Y. Doi et al.   DIABETIC MEDICINE

Dietary Calcium but Not Elemental Calcium from Supplements Is Associated with Body Composition and Obesity in Chinese Women

(2011) Lina Huang et al.   PLoS One

A simple Chinese risk score for undiagnosed diabetes

(2010) W. G. Gao et al.   DIABETIC MEDICINE

Prevalence of Diabetes among Men and Women in China

(2010)   NEW ENGLAND JOURNAL OF MEDICINE

Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers

(2010) Michael J. Pencina et al.   STATISTICS IN MEDICINE

An accurate risk score for estimation 5-year risk of type 2 diabetes based on a health screening population in Taiwan

(2009) Feng Sun et al.   DIABETES RESEARCH AND CLINICAL PRACTICE

Assessing the Performance of Prediction Models

(2009) Ewout W. Steyerberg et al.   EPIDEMIOLOGY