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Tough Topics in Applied Statistics What We Offer at
Bayesian Inference Comprehensive guidance and probabilistic reasoning assistance.
Multivariate Analysis Expert support in techniques like PCA, Factor Analysis, and Multivariate Regression.
Nonparametric Statistics Explanation and application of tests like Wilcoxon rank-sum and Kruskal-Wallis.
Time Series Analysis Modeling and forecasting assistance (ARIMA, GARCH, etc.).
Spatial Statistics Navigating spatial data analysis and concepts like spatial autocorrelation.
Survival Analysis Understanding survival functions and Kaplan-Meier estimators.
Longitudinal Data Analysis Handling longitudinal data using mixed-effects models and growth curves.
Causal Inference Applying techniques like propensity score matching and instrumental variables.
Robust Statistics Methods for accurate results with outliers or assumptions violations.
Advanced Experimental Designs Guidance on factorial, split-plot, and nested designs.
Statistical Software Assistance Implementation help with R, Python, SAS, SPSS, and more.
Meta-Analysis Combining and analyzing results from multiple studies.

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