A proof-of-concept application of a novel scoring approach for personalized medicine in multiple sclerosis

Towards personalized therapy for multiple sclerosis: limitations of observational data

(2018) Ewout W Steyerberg et al.   BRAIN

Estimating Causal Effects of Treatment in a Randomized Trial When Some Participants Only Partially Adhere

(2018) Ian Shrier et al.   EPIDEMIOLOGY

Quality of Life Assessment in Multiple Sclerosis: Different Perception between Patients and Neurologists

(2018) Maria C. Ysrraelit et al.   Frontiers in Neurology

Prediction of Real-World Drug Effectiveness Prelaunch: Case Study in Rheumatoid Arthritis

(2018) Eva-Maria Didden et al.   MEDICAL DECISION MAKING

Individual treatment effect prediction for amyotrophic lateral sclerosis patients

(2017) Heidi Seibold et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Model validation and selection for personalized medicine using dynamic-weighted ordinary least squares

(2017) Michael P Wallace et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Estimating inverse probability weights using super learner when weight-model specification is unknown in a marginal structural Cox model context

(2017) Mohammad Ehsanul Karim et al.   STATISTICS IN MEDICINE

Combining randomized and non-randomized evidence in network meta-analysis

(2017) Orestis Efthimiou et al.   STATISTICS IN MEDICINE

A guide to systematic review and meta-analysis of prediction model performance

(2017) Thomas P A Debray et al.   BMJ-British Medical Journal

A guide to systematic review and meta-analysis of prediction model performance

(2017) Thomas P A Debray et al.   BMJ-British Medical Journal

The Potential for Postrandomization Confounding in Randomized Clinical Trials

(2016) JoAnn E. Manson et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Identification of predicted individual treatment effects in randomized clinical trials

(2016) Andrea Lamont et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

A predictive enrichment procedure to identify potential responders to a new therapy for randomized, comparative controlled clinical studies

(2015) Junlong Li et al.   BIOMETRICS

Subgroups of multiple sclerosis patients with larger treatment benefits: a meta-analysis of randomized trials

(2015) A. Signori et al.   EUROPEAN JOURNAL OF NEUROLOGY

Methods for identification and confirmation of targeted subgroups in clinical trials: A systematic review

(2015) Thomas Ondra et al.   Journal of Biopharmaceutical Statistics

Bayesian evidence synthesis for exploring generalizability of treatment effects: a case study of combining randomized and non-randomized results in diabetes

(2015) Pablo E. Verde et al.   STATISTICS IN MEDICINE

Treatment selections using risk-benefit profiles based on data from comparative randomized clinical trials with multiple endpoints

(2014) B. Claggett et al.   BIOSTATISTICS

Measuring the Performance of Markers for Guiding Treatment Decisions

(2013) Holly Janes et al.   ANNALS OF INTERNAL MEDICINE

Effectively Selecting a Target Population for a Future Comparative Study

(2013) Lihui Zhao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Placebo-Controlled Phase 3 Study of Oral BG-12 or Glatiramer in Multiple Sclerosis

(2012) Robert J. Fox et al.   NEW ENGLAND JOURNAL OF MEDICINE

Placebo-Controlled Phase 3 Study of Oral BG-12 for Relapsing Multiple Sclerosis

(2012) Ralf Gold et al.   NEW ENGLAND JOURNAL OF MEDICINE

Evaluating markers for treatment selection based on survival time

(2011) Xiao Song et al.   STATISTICS IN MEDICINE

Analysis of randomized comparative clinical trial data for personalized treatment selections

(2010) T. Cai et al.   BIOSTATISTICS

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS