data analysis

data problems statistical approaches dealing with missing data and measurement error bayes Bayesian data analysis, modeling, inference data reduction data reduction (principal components, etc.), clustering, unsupervised learning accuracy accuracy and information measures, discriminaton, calibration model validation model validation and interpretation formal statistical tests and inference descriptive descriptive and exploratory data analysis, hypothesis generating more than confirmatory analysis uncertainty Quantifying uncertainty, displaying uncertainty, estimation of uncertainty, incorporation of uncertainty into decision making, etc. This includes but is not limited to confidence intervals, standard errors, Bayesian credible intervals, and sources of uncertainty. probability Probability theory, meaning, and application exclusive of statistical tests, etc. generalizability Generalizability of studies and statistical inferences, sample representativeness, target population comparative methods comparative performance of statistical analysis methods and predictive modeling approaches machine learning machine learning, exclusive of traditional statistical models modeling strategy General model specification issues, nonlinearities, interactions and heterogeneity of treatment effect, avoiding categorization, how to sequence multiple steps (which may involve multiple imputation and data reduction) causal inference Methods and approaches to causal inference variable selection Selection of predictive features in multivariable modeling, one-at-a-time screening of variables, and the cost of feature selection compared to using fuller models, possibly with penalization (shrinkage; regularization). models Formulation, parameter estimation, and interpretation of specific statistical models
Topic Replies Activity
About the data analysis category 2 January 21, 2019
Comorbidity adjustment in regression: score versus individual components 15 August 21, 2019
Modeling seasonal effects - Fourier series basis or something else? 3 August 21, 2019
Confidence intervals for bootstrap-validated bias-corrected performance estimates 11 August 20, 2019
Causal inference vs "the usual statistics" 2 August 20, 2019
Placing knots for restricted cubic splines 22 August 12, 2019
Question about truncating values 4 August 7, 2019
Short-term mortality prediction with long-term follow-up data 17 August 4, 2019
Bootstrapping CIs in multiply imputed data 5 July 29, 2019
Deviation in primary endpoint definition 13 July 26, 2019
Help needed with generalized estimating equations 4 July 18, 2019
Reference Collection to push back against "Common Statistical Myths" 22 July 17, 2019
Modeling cost using negative binomial regression 6 July 10, 2019
Marginal vs conditional (Mixed) models used in Joint model analysis. The SPRINT trial controversy 8 July 11, 2019
Adherence adjustment in randomized trials is possible, here's why 5 July 9, 2019
Confidence intervals for predicted survival probabilities in AFT models 5 July 7, 2019
Deaths related to a specific cause: ratio of two rates 1 July 3, 2019
Bayesian Modeling of Patient-Specific Efficacy Estimates and HTE 3 July 2, 2019
"Observed Power" and other "Power" Issues 70 June 24, 2019
Model specification/variable selection for risk prediction model 4 June 27, 2019
Does correlation among confounders change amount of bias 1 June 21, 2019
Question about the shrinkage correction when building a scoring system 3 June 15, 2019
Causal inference with treatment effect modifier 2 June 11, 2019
Prediction models for class imbalances 2 June 7, 2019
Phenotyping Clinical Syndromes 13 June 1, 2019
Derivation and Validation Cohort - Splitting the total sample 3 May 21, 2019
Examples of solid causal inferences from purely observational data 6 May 13, 2019
Frequentist vs Bayesian debate applied to real-world data analysis: any philosophical insights? 5 May 13, 2019
Rebranding of "Statistics" as "Machine Learning" to Sound More Impactful & Negative Fallout 28 May 11, 2019
SNP prioritization of multiple outcomes 2 May 10, 2019