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A critical review of graphics for subgroup analyses in clinical trials
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A graphical method to assess treatment-covariate interactions using the Cox model on subsets of the data
inferredcites →https://doi.org/10.1002/bimj.201500147openalex-snapshot
Exploratory subgroup analysis in clinical trials by model selection
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Model averaging for treatment effect estimation in subgroups
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A critical review of graphics for subgroup analyses in clinical trials
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A new approach to modelling interactions between treatment and continuous covariates in clinical trials by using fractional polynomials
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Dichotomizing continuous predictors in multiple regression: a bad idea
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A note on graphical presentation of estimated odds ratios from several clinical trials
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Seeing is believing: good graphic design principles for medical research
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Tutorial in biostatistics: data‐driven subgroup identification and analysis in clinical trials
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Tutorial on statistical considerations on subgroup analysis in confirmatory clinical trials
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ggplot2: Elegant Graphics for Data Analysis
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Statistical Analysis and Data Display: An Intermediate Course with Examples in R
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Drawing Area-Proportional Venn-3 Diagrams with Convex Polygons
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Exploring categorical data: interactive mosaic plots
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The visual display of quantitative information
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Graph Quality in Top Medical Journals
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Detecting an interaction between treatment and a continuous covariate: A comparison of two approaches
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Towards a General Solution to Drawing Area-Proportional Euler Diagrams
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More medical journals should inform their contributors about three key principles of graph construction
inferredcites →https://doi.org/10.1016/s0140-6736(05)61026-4openalex-snapshot
Forest plots and the interpretation of subgroups
inferredcites →https://doi.org/10.1080/00224065.1984.11978912openalex-snapshot
The Visual Display of Quantitative Information
inferredcites →https://doi.org/10.1080/00401706.1988.10488400openalex-snapshot
Graphical Display of Estimates Having Differing Standard Errors
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Strategies for Identifying Predictive Biomarkers and Subgroups with Enhanced Treatment Effect in Clinical Trials Using SIDES
inferredcites →https://doi.org/10.1080/10543406.2015.1092033openalex-snapshot
General guidance on exploratory and confirmatory subgroup analysis in late-stage clinical trials
inferredcites →https://doi.org/10.1080/10543406.2015.1092034openalex-snapshot
Methods for identification and confirmation of targeted subgroups in clinical trials: A systematic review
inferredcites →https://doi.org/10.1080/10543406.2017.1397009openalex-snapshot
Multiplicity issues in exploratory subgroup analysis
inferredcites →https://doi.org/10.1080/10618600.1993.10474616openalex-snapshot
A Model for Studying Display Methods of Statistical Graphics
inferredcites →https://doi.org/10.1080/19466315.2016.1251490openalex-snapshot
Comparing Approaches to Treatment Effect Estimation for Subgroups in Clinical Trials
inferredcites →https://doi.org/10.1093/bioinformatics/btu393openalex-snapshot
circlize implements and enhances circular visualization in R
inferredcites →https://doi.org/10.1093/biostatistics/5.3.465openalex-snapshot
Patterns of treatment effects in subsets of patients in clinical trials
inferredcites →https://doi.org/10.1101/gr.092759.109openalex-snapshot
Circos: An information aesthetic for comparative genomics
inferredcites →https://doi.org/10.1109/tvcg.2014.2346248openalex-snapshot
UpSet: Visualization of Intersecting Sets
inferredcites →https://doi.org/10.1111/biom.12522openalex-snapshot
A Bayesian Credible Subgroups Approach to Identifying Patient Subgroups with Positive Treatment Effects
inferredcites →https://doi.org/10.1126/science.229.4716.828openalex-snapshot
Graphical Perception and Graphical Methods for Analyzing Scientific Data
inferredcites →https://doi.org/10.1160/th13-09-0801openalex-snapshot
Subgroup analyses with special reference to the effect of antiplatelet agents in acute coronary syndromes
inferredcites →https://doi.org/10.1177/0962280215623981openalex-snapshot
Identification of predicted individual treatment effects in randomized clinical trials
inferredcites →https://doi.org/10.1177/2168479019853782openalex-snapshot
A Systematic Approach for Post Hoc Subgroup Analyses With Applications in Clinical Case Studies
inferredcites →https://doi.org/10.1179/000870403235002042openalex-snapshot
ColorBrewer.org: An Online Tool for Selecting Colour Schemes for Maps
inferredcites →https://doi.org/10.1186/1745-6215-8-36openalex-snapshot
Figures in clinical trial reports: current practice & scope for improvement
inferredcites →https://doi.org/10.1186/s12859-015-0611-3openalex-snapshot
InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams
inferredcites →https://doi.org/10.1198/000313002317572790openalex-snapshot
Let's Practice What We Preach
inferredcites →https://doi.org/10.1371/journal.pone.0101717openalex-snapshot
eulerAPE: Drawing Area-Proportional 3-Venn Diagrams Using Ellipses
inferredcites →https://doi.org/10.1371/journal.pone.0205971openalex-snapshot
Subgroup identification in clinical trials via the predicted individual treatment effect
inferredcites →https://doi.org/10.1515/ijb-2015-0032openalex-snapshot
Model-Based Recursive Partitioning for Subgroup Analyses
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The Visual Display of Quantitative Information.
inferredcites →https://doi.org/10.7326/0003-4819-107-2-224openalex-snapshot
Meta-Analysis in Clinical Research
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The Handbook of Research Synthesis and Meta-Analysis
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study
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subscreen: Systematic Screening of Study Data for Subgroup Effects
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Alitretinoin versus phototherapy as the first-line treatment in adults with severe chronic hand eczema: the ALPHA RCT
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Additional file 1 of Investigating treatment-effect modification by a continuous covariate in IPD meta-analysis: an approach using fractional polynomials
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