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Cure Models | 1:a upplagan
- Danskt band, Engelska, 2021
- Författare: Binbing Yu, Yingwei Peng
- Betyg:
Skickas inom 7-22 vardagar
Fler utgåvor
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Applied Meta-Analysis with R and Stata (2021)
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Real-World Evidence in Drug Development and Evaluation (2021)
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Bayesian Analysis of Infectious Diseases (2021)
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Medical Risk Prediction Models (2021)
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Confidence Intervals for Proportions and Related Measures of Effect Size (2020)
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Randomized Phase II Cancer Clinical Trials (2020)
567 kr
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Benefit-Risk Assessment in Pharmaceutical Research and Development (2020)
567 kr
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Bayesian Methods in Epidemiology (2020)
567 kr
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Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research (2020)
504 kr
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Inference Principles for Biostatisticians (2020)
567 kr
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Medical Product Safety Evaluation (2020)
567 kr
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Design and Analysis of Animal Studies in Pharmaceutical Development (2020)
567 kr
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Measures of Interobserver Agreement and Reliability (2020)
567 kr
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Randomized Clinical Trials of Nonpharmacological Treatments (2020)
567 kr
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Controversial Statistical Issues in Clinical Trials (2020)
567 kr
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Interval-Censored Time-to-Event Data (2020)
567 kr
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Statistical Design and Analysis of Stability Studies (2020)
567 kr
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Bayesian Methods for Measures of Agreement (2020)
567 kr
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Clinical Trial Methodology (2020)
567 kr
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Design and Analysis of Bridging Studies (2020)
567 kr
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Design and Analysis of Non-Inferiority Trials (2020)
567 kr
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Advanced Bayesian Methods for Medical Test Accuracy (2020)
567 kr
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Bayesian Analysis Made Simple (2020)
567 kr
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Quantitative Methods for HIV/AIDS Research (2020)
567 kr
Beskrivning
The book features real-world examples from clinical trials and population-based studies and a detailed introduction to R packages, SAS macros, and WinBUGS programs to fit some cure models. The main topics covered include
the foundation of statistical estimation and inference of cure models for independent and right-censored survival data,
cure modeling for multivariate, recurrent-event, and competing-risks survival data, and joint modeling with longitudinal data,
statistical testing for the existence and difference of cure rates and sufficient follow-up,
new developments in Bayesian cure models,
applications of cure models in public health research and clinical trials.
Produktinformation