Dataset and R Scripts for the Network Meta-Analysis of Bulk-Fill versus Incremental Resin Composite Techniques in Posterior Class II Restorations

This dataset contains the complete data structure and analytical scripts used to perform a Network Meta-Analysis (NMA) comparing bulk-fill and incremental placement techniques for resin-based composite restorations in posterior teeth. The dataset includes the harmonized follow-up data extracted from eligible clinical studies and the R scripts developed to execute the statistical analysis, visualize treatment networks, assess consistency, and calculate ranking probabilities (P-scores).The accompanying R code automates the generation of network meta-analyses for each follow-up period (6, 12, and 24 months) using the meta and netmeta packages in R. It provides the structure for:Pairwise comparisons and network model construction.Random-effects estimation (REML) for risk ratios of restoration failures.Graphical outputs including network plots, forest plots, design-by-treatment inconsistency graphs, and node-splitting analyses.Treatment ranking based on P-scores and league tables.Aggregated P-score matrices summarizing comparative performance across follow-ups.本数据集包含用于开展网络Meta分析（Network Meta-Analysis, NMA）的完整数据结构与分析脚本，该分析旨在比较后牙树脂基复合修复体的大块充填与分层充填两种修复技术。 本数据集涵盖从符合入组标准的临床研究中提取的标准化随访数据，以及用于执行统计分析、可视化治疗网络、评估一致性并计算排序概率（P-scores）的R脚本。 配套的R代码可借助R语言的meta与netmeta程序包，自动针对6、12、24个月各随访周期生成网络Meta分析结果。 本数据集支持以下流程的实现： 1. 两两比较与网络模型构建 2. 针对修复失败风险比的随机效应估计（REML，限制性极大似然法） 3. 生成可视化输出结果，包括网络图、森林图、设计-治疗不一致性图以及节点拆分分析结果 4. 基于P-scores的治疗排序与联赛表（league tables） 5. 构建汇总各随访周期内修复技术相对表现的整合型P-score矩阵