UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 572

Sortiert nach

Prognosis Research Strategy (PROGRESS) 3: prognostic model research

PLoS medicine, 2013-02, Vol.10 (2), p.e1001381-e1001381

2013

Volltextzugriff (PDF)

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement

BMC medicine, 2015-01, Vol.13 (1), p.1-1

2015

Volltextzugriff (PDF)

Prognosis Research Strategy (PROGRESS) 2: prognostic factor research

PLoS medicine, 2013-02, Vol.10 (2), p.e1001380-e1001380

2013

Volltextzugriff (PDF)

Reporting and methods in clinical prediction research: a systematic review

PLoS medicine, 2012-05, Vol.9 (5), p.1-12

2012

Volltextzugriff (PDF)

A new framework to enhance the interpretation of external validation studies of clinical prediction models

Journal of clinical epidemiology, 2015-03, Vol.68 (3), p.279-289

2015

Volltextzugriff (PDF)

Reporting of artificial intelligence prediction models

The Lancet (British edition), 2019-04, Vol.393 (10181), p.1577-1579

2019

Volltextzugriff (PDF)

Predictive Accuracy of a Polygenic Risk Score-Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease

JAMA : the journal of the American Medical Association, 2020-02, Vol.323 (7), p.636

2020

Volltextzugriff (PDF)

Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist

PLoS medicine, 2014-10, Vol.11 (10), p.e1001744-e1001744

2014

Volltextzugriff (PDF)

Missing covariate data in medical research: To impute is better than to ignore

Journal of clinical epidemiology, 2010-07, Vol.63 (7), p.721-727

2010

Volltextzugriff (PDF)

Beyond Diagnostic Accuracy: The Clinical Utility of Diagnostic Tests

Clinical chemistry (Baltimore, Md.), 2012-12, Vol.58 (12), p.1636-1643

2012

Volltextzugriff (PDF)

Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes

Statistics in medicine, 2019-03, Vol.38 (7), p.1262-1275

2019

Volltextzugriff (PDF)

Risk prediction models: II. External validation, model updating, and impact assessment

Heart, 2012-05, Vol.98 (9), p.691-698

2012

Volltextzugriff (PDF)

Using evidence to combat overdiagnosis and overtreatment: evaluating treatments, tests, and disease definitions in the time of too much

PLoS medicine, 2014-07, Vol.11 (7), p.e1001655-e1001655

2014

Volltextzugriff (PDF)

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

European urology, 2015-06, Vol.67 (6), p.1142-1151

2015

Volltextzugriff (PDF)

Individual participant data meta-analysis for a binary outcome: one-stage or two-stage?

PloS one, 2013-04, Vol.8 (4), p.e60650-e60650

2013

Volltextzugriff (PDF)

Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker

Heart, 2012-05, Vol.98 (9), p.683-690

2012

Volltextzugriff (PDF)

Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes

Statistics in medicine, 2019-03, Vol.38 (7), p.1276-1296

2019

Volltextzugriff (PDF)

Calculating the sample size required for developing a clinical prediction model

BMJ (Online), 2020-03, Vol.368, p.m441

2020

Volltextzugriff (PDF)

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD statement

Journal of clinical epidemiology, 2015-02, Vol.68 (2), p.112-121

2015

Volltextzugriff (PDF)

No rationale for 1 variable per 10 events criterion for binary logistic regression analysis

BMC medical research methodology, 2016-11, Vol.16 (1), p.163-163, Article 163

2016

Volltextzugriff (PDF)

Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration

Annals of internal medicine, 2015-01, Vol.162 (1), p.W1

2015

Volltextzugriff (PDF)

Improvements in risk stratification for the occurrence of cardiovascular disease by imaging subclinical atherosclerosis: a systematic review

Heart, 2012-02, Vol.98 (3), p.177-184

2012

Volltextzugriff (PDF)

Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis

BMC medicine, 2019-06, Vol.17 (1), p.109-109, Article 109

2019

Volltextzugriff (PDF)

Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning

Statistics in medicine, 2020-07, Vol.39 (15), p.2115-2137

2020

Volltextzugriff (PDF)

Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement

Annals of internal medicine, 2015-01, Vol.162 (1), p.55

2015

Volltextzugriff (PDF)

1 – 25 von 572

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(556)
Mit Volltextzugriff
(467)

Publikationsform

Sprache

Erscheinungsjahr

n.n

Thema

Science & Technology
(456)
Life Sciences & Biomedicine
(446)
Humans
(422)
Female
(216)
Male
(186)
General & Internal Medicine
(133)
Biological And Medical Sciences
(129)
Medical Sciences
(129)
Middle Aged
(129)
Medicine, General & Internal
(127)
Prognosis
(117)
Aged
(113)
Public, Environmental & Occupational Health
(92)
Epidemiology
(89)
Adult
(88)
Risk Factors
(88)
Health Care Sciences & Services
(79)
Models, Statistical
(72)
Bias
(68)
Patients
(68)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 90 Tagen
(2)

Menü

Weitere Dienste

Einstellungen

Prognosis Research Strategy (PROGRESS) 3: prognostic model research

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement

Prognosis Research Strategy (PROGRESS) 2: prognostic factor research

Reporting and methods in clinical prediction research: a systematic review

A new framework to enhance the interpretation of external validation studies of clinical prediction models

Reporting of artificial intelligence prediction models

Predictive Accuracy of a Polygenic Risk Score-Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease

Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist

Missing covariate data in medical research: To impute is better than to ignore

Beyond Diagnostic Accuracy: The Clinical Utility of Diagnostic Tests

Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes

Risk prediction models: II. External validation, model updating, and impact assessment

Using evidence to combat overdiagnosis and overtreatment: evaluating treatments, tests, and disease definitions in the time of too much

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

Individual participant data meta-analysis for a binary outcome: one-stage or two-stage?

Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker

Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes

Calculating the sample size required for developing a clinical prediction model

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD statement

No rationale for 1 variable per 10 events criterion for binary logistic regression analysis

Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration

Improvements in risk stratification for the occurrence of cardiovascular disease by imaging subclinical atherosclerosis: a systematic review

Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis

Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning

Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement

Suchergebnisse filtern