Binary logistic regression modeling with TensorFlow™
Zhongheng Zhang, Lei Mo, Chen Huang, Ping Xu, written on behalf of AME Big-Data Clinical Trial Collaborative Group
Big-data Clinical Trial Column
Reinforcement learning in clinical medicine: a method to optimize dynamic treatment regime over time
Zhongheng Zhang, written on behalf of AME Big-Data Clinical Trial Collaborative Group
Predictive analytics with gradient boosting in clinical medicine
Predictive analytics with gradient boosting in clinical medicine
Balance diagnostics after propensity score matching
Balance diagnostics after propensity score matching
%ggBaseline: a SAS macro for analyzing and reporting baseline characteristics automatically in medical research
Hong-Qiu Gu, Dao-Ji Li, Chelsea Liu, Zhen-Zhen Rao
Overview of model validation for survival regression model with competing risks using melanoma study data
Zhongheng Zhang, Giuliana Cortese, Christophe Combescure, Roger Marshall, Minjung Lee, Hyun Ja Lim, Bernhard Haller, written on behalf of AME Big-Data Clinical Trial Collaborative Group
Decision curve analysis: a technical note
Zhongheng Zhang, Valentin Rousson, Wen-Chung Lee, Cyril Ferdynus, Mingyu Chen, Xin Qian, Yizhan Guo, written on behalf of AME Big-Data Clinical Trial Collaborative Group
Opening the black box of neural networks: methods for interpreting neural network models in clinical applications
Zhongheng Zhang, Marcus W. Beck, David A. Winkler, Bin Huang, Wilbert Sibanda, Hemant Goyal, written on behalf of AME Big-Data Clinical Trial Collaborative Group
Instrumental variable analysis in the presence of unmeasured confounding
Zhongheng Zhang, Md Jamal Uddin, Jing Cheng, Tao Huang
Subgroup identification in clinical trials: an overview of available methods and their implementations with R
Zhongheng Zhang, Heidi Seibold, Mario V. Vettore, Woo-Jung Song, Vieille François
Time-varying covariates and coefficients in Cox regression models
Zhongheng Zhang, Jaakko Reinikainen, Kazeem Adedayo Adeleke, Marcel E. Pieterse, Catharina G. M. Groothuis-Oudshoorn
Estimate risk difference and number needed to treat in survival analysis
Zhongheng Zhang, Federico Ambrogi, Alex F. Bokov, Hongqiu Gu, Edwin de Beurs, Khaled Eskaf
Exploring heterogeneity in clinical trials with latent class analysis
Zhongheng Zhang, Abdallah Abarda, Ateka A. Contractor, Juan Wang, C. Mitchell Dayton
Tutorial: development of an online risk calculator platform
Xinge Ji, Michael W. Kattan
Variable selection in Logistic regression model with genetic algorithm
Zhongheng Zhang, Victor Trevino, Sayed Shahabuddin Hoseini, Smaranda Belciug, Arumugam Manivanna Boopathi, Ping Zhang, Florin Gorunescu, Velappan Subha, Songshi Dai
Rainforest plots for the presentation of patient-subgroup analysis in clinical trials
Zhongheng Zhang, Michael Kossmeier, Ulrich S. Tran, Martin Voracek, Haoyang Zhang
Comparing baseline characteristics between groups: an introduction to the CBCgrps package
Zhongheng Zhang, Alberto Alexander Gayle, Juan Wang, Haoyang Zhang, Pablo Cardinal-Fernández
Nomogram for survival analysis in the presence of competing risks
Zhongheng Zhang, Ronald B. Geskus, Michael W. Kattan, Haoyang Zhang, Tongyu Liu
Development of scoring system for risk stratification in clinical medicine: a step-by-step tutorial
Zhongheng Zhang, Haoyang Zhang, Mahesh Kumar Khanal
Causal mediation analysis in the context of clinical research
Zhongheng Zhang1,2, Cheng Zheng3, Chanmin Kim4 , Sven Van Poucke5, Su Lin6, Peng Lan7
Semi-parametric regression model for survival data: graphical visualization with R
Zhongheng Zhang
Variable selection with stepwise and best subset approaches
Zhongheng Zhang
A gentle introduction to artificial neural networks
Zhongheng Zhang
Reshaping and aggregating data: an introduction to reshape package
Zhongheng Zhang
Statistical description for survival data
Zhongheng Zhang
Residuals and regression diagnostics: focusing on logistic regression
Zhongheng Zhang
Multiple imputation for time series data with Amelia package
Zhongheng Zhang
Introduction to machine learning: k-nearest neighbors
Zhongheng Zhang
Neural networks: further insights into error function, generalized weights and others
Zhongheng Zhang
Case-crossover design and its implementation in R
Zhongheng Zhang
Naïve Bayes classification in R
Zhongheng Zhang
Multivariable fractional polynomial method for regression model
Zhongheng Zhang
Decision tree modeling using R
Zhongheng Zhang
Univariate description and bivariate statistical inference: the first step delving into data
Zhongheng Zhang
Multiple imputation with multivariate imputation by chained equation (MICE) package
Zhongheng Zhang
Model building strategy for logistic regression: purposeful selection
Zhongheng Zhang
Missing data imputation: focusing on single imputation
Zhongheng Zhang
Missing data exploration: highlighting graphical presentation of missing pattern
Zhongheng Zhang
Missing values in big data research: some basic skills
Zhongheng Zhang
Data management by using R: big data clinical research series
Zhongheng Zhang
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Disclosure:
The series “Big-data Clinical Trial Column” was commissioned by the editorial office, Annals of Translational Medicine without any sponsorship or funding.