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Tim Friede (1971-)

Arzt

Name	Tim Friede
Time	1971- (Date of birth and death)
Place	Deutschland
Academic degree	Dr. sc. hum.
Profession	Arzt (characteristic profession) Mathematiker
Variant	T. Friede
Related	Universitätsmedizin Göttingen (Professor für Biostatistik) (2010-)
Further information	Methodische Forschungsinteressen liegen in der klinischen Biostatistik mit Schwerpunkt zu Designs für klinische Studien (insbesondere flexible adaptive Designs) und Systematische Reviews, Meta-Analysen
Record type	Person
GND-Identifier	123130999
Record ID	123130999
Involved in show all Robust confidence intervals for meta-regression with interaction effects Health economic evaluation of blended collaborative care for older multimorbid heart failure patients: study protocol Stakeholders' Perspectives on Current Issues in Data Monitoring Committees Challenges in developing and validating machine learning models for TAVI mortality risk prediction: reply On the role of benchmarking data sets and simulations in method comparison studies Survival analysis for AdVerse events with VarYing follow-up times (SAVVY): summary of findings and assessment of existing guidelines Blinded sample size recalculation in multiple composite population designs with normal data and baseline adjustments The DZHK research platform: maximisation of scientific value by enabling access to health data and biological samples collected in cardiovascular clinical studies Verknüpfung von randomisierten kontrollierten Studien und Real World Data On the role of benchmarking data sets and simulations in method comparison studies Confidence intervals for discrete data in clinical research by Vivek Pradhan, Ashis K. Gangopadhyay, Sandeep M. Menon, Cynthia Basu, Tathagata Banerjee. Boca Raton, FL: Chapman & Hall/CRC Press. 2022. 240 pages. ISBN: 9781138048980 (hbk). ISBN 9781315169859 (ebk). List price: £99.99 Development and validation of explainable machine learning models for risk of mortality in transcatheter aortic valve implantation: TAVI risk machine scores Improving the statistical power of economic experiments using adaptive designs Blinded sample size recalculation in adaptive enrichment designs Immunotherapy for people with clinically isolated syndrome or relapsing-remitting multiple sclerosis: treatment response by demographic, clinical, and biomarker subgroups (PROMISE)—a systematic review protocol On the role of data, statistics and decisions in a pandemic Improving adaptive seamless designs through Bayesian optimization Design aspects of COVID‐19 treatment trials: Improving probability and time of favorable events Improving adaptive seamless designs through Bayesian optimization Is there a role for statistics in artificial intelligence? On the role of data, statistics and decisions in a pandemic Design aspects of COVID‐19 treatment trials: Improving probability and time of favorable events Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning Is there a role for statistics in artificial intelligence? Phase I dose-escalation oncology trials with sequential multiple schedules Development and evaluation of an interactive web-based decision-making programme on relapse management for people with multiple sclerosis (POWERMS2)—study protocol for a randomised controlled trial Bounds for the weight of external data in shrinkage estimation Estimating and comparing adverse event probabilities in the presence of varying follow‐up times and competing events Estimating and comparing adverse event probabilities in the presence of varying follow‐up times and competing events Is there a role for statistics in artificial intelligence? Precise variant interpretation, phenotype ascertainment, and genotype-phenotype correlation of children in the EARLY PRO‐TECT Alport trial Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) - estimation of adverse event risks Survival analysis for AdVerse events with VarYing follow‐up times (SAVVY): rationale and statistical concept of a meta‐analytic study Impact of COVID-19 outbreak on regional STEMI care in Germany Exact change point detection with improved power in small‐sample binomial sequences Survival analysis for AdVerse events with VarYing follow‐up times (SAVVY): Rationale and statistical concept of a meta‐analytic study Sample size recalculation in multicenter randomized controlled clinical trials based on noncomparative data Adaptive seamless clinical trials using early outcomes for treatment or subgroup selection: Methods, simulation model and their implementation in R Impact of COVID-19 outbreak on regional STEMI care in Germany Precise variant interpretation, phenotype ascertainment, and genotype–phenotype correlation of children in the EARLY PRO‐TECT Alport trial Likelihood-based random-effects meta-analysis with few studies: empirical and simulation studies Quantitative approaches underpinning decision making Semi‐parametric analysis of overdispersed count and metric data with varying follow‐up times: Asymptotic theory and small sample approximations On estimands and the analysis of adverse events in the presence of varying follow‐up times within the benefit assessment of therapies Methods for evidence synthesis in the case of very few studies Prognostic significance of emergency department bypass in stable and unstable patients with ST-segment elevation myocardial infarction Memorandum “Open Metadata” : Open Access to Documentation Forms and Item Catalogs in Healthcare KSFE 2014 : Proceedings der 18. Konferenz der SAS®-Anwender in Forschung und Entwicklung (KSFE) Proceedings der 18. Konferenz der SAS-Anwender in Forschung und Entwicklung (KSFE) : [27. - 28. März 2014, Universität Göttingen] Sample Size Reassessment in Non-inferiority Trials : Internal Pilot Study Designs with ANCOVA A comparison of procedures for adaptive choice of location tests in felxible two-stage design Methoden zur Bestimmung der Fallzahl in klinischen Studien mit interner Pilotstudie

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Katalog der Deutschen Nationalbibliothek

Tim Friede (1971-)

Robust confidence intervals for meta-regression with interaction effects

Health economic evaluation of blended collaborative care for older multimorbid heart failure patients: study protocol

Stakeholders' Perspectives on Current Issues in Data Monitoring Committees

Challenges in developing and validating machine learning models for TAVI mortality risk prediction: reply

On the role of benchmarking data sets and simulations in method comparison studies

Survival analysis for AdVerse events with VarYing follow-up times (SAVVY): summary of findings and assessment of existing guidelines

Blinded sample size recalculation in multiple composite population designs with normal data and baseline adjustments

The DZHK research platform: maximisation of scientific value by enabling access to health data and biological samples collected in cardiovascular clinical studies

Verknüpfung von randomisierten kontrollierten Studien und Real World Data

On the role of benchmarking data sets and simulations in method comparison studies

Confidence intervals for discrete data in clinical research by Vivek Pradhan, Ashis K. Gangopadhyay, Sandeep M. Menon, Cynthia Basu, Tathagata Banerjee. Boca Raton, FL: Chapman & Hall/CRC Press. 2022. 240 pages. ISBN: 9781138048980 (hbk). ISBN 9781315169859 (ebk). List price: £99.99

Development and validation of explainable machine learning models for risk of mortality in transcatheter aortic valve implantation: TAVI risk machine scores

Improving the statistical power of economic experiments using adaptive designs

Blinded sample size recalculation in adaptive enrichment designs

Immunotherapy for people with clinically isolated syndrome or relapsing-remitting multiple sclerosis: treatment response by demographic, clinical, and biomarker subgroups (PROMISE)—a systematic review protocol

On the role of data, statistics and decisions in a pandemic

Improving adaptive seamless designs through Bayesian optimization

Design aspects of COVID‐19 treatment trials: Improving probability and time of favorable events

Improving adaptive seamless designs through Bayesian optimization

Is there a role for statistics in artificial intelligence?

On the role of data, statistics and decisions in a pandemic

Design aspects of COVID‐19 treatment trials: Improving probability and time of favorable events

Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning

Is there a role for statistics in artificial intelligence?

Phase I dose-escalation oncology trials with sequential multiple schedules

Development and evaluation of an interactive web-based decision-making programme on relapse management for people with multiple sclerosis (POWERMS2)—study protocol for a randomised controlled trial

Bounds for the weight of external data in shrinkage estimation

Estimating and comparing adverse event probabilities in the presence of varying follow‐up times and competing events

Estimating and comparing adverse event probabilities in the presence of varying follow‐up times and competing events

Is there a role for statistics in artificial intelligence?

Precise variant interpretation, phenotype ascertainment, and genotype-phenotype correlation of children in the EARLY PRO‐TECT Alport trial

Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) - estimation of adverse event risks

Survival analysis for AdVerse events with VarYing follow‐up times (SAVVY): rationale and statistical concept of a meta‐analytic study

Impact of COVID-19 outbreak on regional STEMI care in Germany

Exact change point detection with improved power in small‐sample binomial sequences

Survival analysis for AdVerse events with VarYing follow‐up times (SAVVY): Rationale and statistical concept of a meta‐analytic study

Sample size recalculation in multicenter randomized controlled clinical trials based on noncomparative data

Adaptive seamless clinical trials using early outcomes for treatment or subgroup selection: Methods, simulation model and their implementation in R

Impact of COVID-19 outbreak on regional STEMI care in Germany

Precise variant interpretation, phenotype ascertainment, and genotype–phenotype correlation of children in the EARLY PRO‐TECT Alport trial

Likelihood-based random-effects meta-analysis with few studies: empirical and simulation studies

Quantitative approaches underpinning decision making

Semi‐parametric analysis of overdispersed count and metric data with varying follow‐up times: Asymptotic theory and small sample approximations

On estimands and the analysis of adverse events in the presence of varying follow‐up times within the benefit assessment of therapies

Methods for evidence synthesis in the case of very few studies

Prognostic significance of emergency department bypass in stable and unstable patients with ST-segment elevation myocardial infarction

Memorandum “Open Metadata” : Open Access to Documentation Forms and Item Catalogs in Healthcare

KSFE 2014 : Proceedings der 18. Konferenz der SAS®-Anwender in Forschung und Entwicklung (KSFE)

Proceedings der 18. Konferenz der SAS-Anwender in Forschung und Entwicklung (KSFE) : [27. - 28. März 2014, Universität Göttingen]

Sample Size Reassessment in Non-inferiority Trials : Internal Pilot Study Designs with ANCOVA

A comparison of procedures for adaptive choice of location tests in felxible two-stage design

Methoden zur Bestimmung der Fallzahl in klinischen Studien mit interner Pilotstudie