Sample size considerations for the evaluation of prognostic factors in survival analysis.
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Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.Discrimination-based sample size calculations for multivariable prognostic models for time-to-event data.Strategies for power calculations in predictive biomarker studies in survival dataPrecision oncology for acute myeloid leukemia using a knowledge bank approach.Simulation of complex data structures for planning of studies with focus on biomarker comparison.The importance of identifying and validating prognostic factors in oncology.An overview of variance inflation factors for sample-size calculation.Risk factors for sports injuries--a methodological approachSample Size for Joint Testing of Indirect Effects.Delirium risk stratification in consecutive unselected admissions to acute medicine: validation of externally derived risk scoresA risk score based on histopathological features predicts higher risk of distant recurrence in premenopausal patients with lymph node-negative endocrine-responsive breast cancerFactors influencing p53 expression in ovarian cancer as a biomarker of clinical outcome in multicentre studies.Previous injury as a risk factor for injury in elite football: a prospective study over two consecutive seasons.Depressive symptoms, health behaviors, and risk of cardiovascular events in patients with coronary heart diseasePrognostic models: a methodological framework and review of models for breast cancer.Early2 factor (E2F) deregulation is a prognostic and predictive biomarker in lung adenocarcinoma.Design and Rationale of a Randomized Trial of a Care Transition Strategy in Patients With Acute Heart Failure Discharged From the Emergency Department: GUIDED-HF (Get With the Guidelines in Emergency Department Patients With Heart Failure).Sample size calculations for evaluating mediation.Sample size determination for jointly testing a cause-specific hazard and the all-cause hazard in the presence of competing risks.Power and sample size determination for group comparison of patient-reported outcomes using polytomous Rasch models.Survival analysis: Part I - analysis of time-to-event.The course of complaints of arm, neck and/or shoulder: a cohort study in a university population participating in work or study.
P2860
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P2860
Sample size considerations for the evaluation of prognostic factors in survival analysis.
description
2000 nî lūn-bûn
@nan
2000年の論文
@ja
2000年学术文章
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2000年学术文章
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2000年学术文章
@zh-hans
2000年学术文章
@zh-my
2000年学术文章
@zh-sg
2000年學術文章
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2000年學術文章
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2000年學術文章
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name
Sample size considerations for the evaluation of prognostic factors in survival analysis.
@en
Sample size considerations for the evaluation of prognostic factors in survival analysis.
@nl
type
label
Sample size considerations for the evaluation of prognostic factors in survival analysis.
@en
Sample size considerations for the evaluation of prognostic factors in survival analysis.
@nl
prefLabel
Sample size considerations for the evaluation of prognostic factors in survival analysis.
@en
Sample size considerations for the evaluation of prognostic factors in survival analysis.
@nl
P2093
P1476
Sample size considerations for the evaluation of prognostic factors in survival analysis.
@en
P2093
Sauerbrei W
Schumacher M
P2860
P304
P356
10.1002/(SICI)1097-0258(20000229)19:4<441::AID-SIM349>3.0.CO;2-N
P407
P577
2000-02-01T00:00:00Z