Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research

被引：1001

作者：

Steyerberg, Ewout W. ^{[1
]}

Moons, Karel G. M. ^{[2
]}

van der Windt, Danielle A. ^{[3
]}

Hayden, Jill A. ^{[4
]}

Perel, Pablo ^{[5
]}

Schroter, Sara ^{[6
]}

Riley, Richard D. ^{[7
]}

Hemingway, Harry ^{[8
]}

Altman, Douglas G. ^{[9
]}

机构：

[1] Erasmus MC, Dept Publ Hlth, Rotterdam, Netherlands

[2] UMC Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands

[3] Keele Univ, Arthrit Res UK Primary Care Ctr, Keele ST5 5BG, Staffs, England

[4] Dalhousie Univ, Dept Community Hlth & Epidemiol, Halifax, NS, Canada

[5] Univ London London Sch Hyg & Trop Med, London WC1E 7HT, England

[6] BMJ, London, England

[7] Univ Birmingham, Sch Hlth & Populat Sci, Birmingham, W Midlands, England

[8] UCL, Dept Epidemiol & Publ Hlth, London, England

[9] Univ Oxford, Ctr Stat Med, Oxford, England

来源：

PLOS MEDICINE | 2013年 / 10卷 / 02期

基金：

英国医学研究理事会; 加拿大健康研究院; 英国惠康基金; 英国经济与社会研究理事会; 英国工程与自然科学研究理事会;

关键词：

TRAUMATIC BRAIN-INJURY; CLINICAL-PREDICTION RULES; LOW-BACK-PAIN; RANDOMIZED CONTROLLED-TRIALS; EXTERNAL VALIDATION; COST-EFFECTIVENESS; REGRESSION-MODELS; STATISTICAL POWER; BREAST-CANCER; SAMPLE-SIZE;

D O I：

10.1371/journal.pmed.1001381

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Prognostic models are abundant in the medical literature yet their use in practice seems limited. In this article, the third in the PROGRESS series, the authors review how such models are developed and validated, and then address how prognostic models are assessed for their impact on practice and patient outcomes, illustrating these ideas with examples.

引用

页数：9

共 84 条

[61]

Ross PL, 2001, J UROLOGY, V165, P1562, DOI 10.1016/S0022-5347(05)66349-5

[62] Prognosis and prognostic research: Developing a prognostic model [J].

Royston, Patrick ;

Moons, Karel G. M. ;

Altman, Douglas G. ;

Vergouwe, Yvonne .

BMJ-BRITISH MEDICAL JOURNAL, 2009, 338 :1373-1377

[63] The use of resampling methods to simplify regression models in medical statistics [J].

Sauerbrei, W .

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 1999, 48 :313-329

[64]

Sauerbrei W, 2005, ADV OTO-RHINO-LARYNG, V62, P184

[65] Selection of important variables and determination of functional form for continuous predictors in multivariable model building [J].

Sauerbrei, Willi ;

Royston, Patrick ;

Binder, Harald .

STATISTICS IN MEDICINE, 2007, 26 (30) :5512-5528

[66] Assessing a risk tailored intervention to prevent disabling low back pain - protocol of a cluster randomized controlled trial [J].

Schmidt, Carsten Oliver ;

Chenot, Jean-Francois ;

Pfingsten, Michael ;

Fahland, Ruth Anja ;

Lindena, Gabriele ;

Marnitz, Ulf ;

Pfeifer, Klaus ;

Kohlmann, Thomas .

BMC MUSCULOSKELETAL DISORDERS, 2010, 11

[67]

Schumacher M., 2006, Handbook of Statistics in Clinical Oncology, V2nd, P289

[68] Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls [J].

Sterne, Jonathan A. C. ;

White, Ian R. ;

Carlin, John B. ;

Spratt, Michael ;

Royston, Patrick ;

Kenward, Michael G. ;

Wood, Angela M. ;

Carpenter, James R. .

BMJ-BRITISH MEDICAL JOURNAL, 2009, 339 :157-160

[69]

Steyerberg E, 2009, Clinical prediction models: a practical approach to development, validation, and updating, DOI 10.1007/978-0-387-77244-8

[70] Validation and updating of predictive logistic regression models: a study on sample size and shrinkage [J].

Steyerberg, EW ;

Borsboom, GJJM ;

van Houwelingen, HC ;

Eijkemans, MJC ;

Habbema, JDF .

STATISTICS IN MEDICINE, 2004, 23 (16) :2567-2586

← 1 2 3 4 5 6 7 8 9 →