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Analyzing Combination of Proportions and Relative Risk
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A Toolkit for Calculating and Working with Propensity Scores
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Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment
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Parse 'Java' Properties Files for 'R Service Bus' Applications
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Feature (gene) selection based on the Proportional Overlapping Scores
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Propensity Score Methods for Assigning Treatment in Randomized Trials
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Tools to Score Patient-Reported Outcome (PRO) and Other Psychometric Measures
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Miscellaneous Functions for Processing and Sample Selection of Spectroscopic Data
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Principal Component Analysis (PCA) Tool on Protein Expression Data
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Bayesian Statistical Tools for Quantitative Proteomics
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Calculates the Percentage CV for Mass Spectrometry-Based Proteomics Data
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Multiform Seq2Seq Model for Time-Feature Analysis
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Protein Feature Extraction from Profile Hidden Markov Models
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Interactive Dendrograms for Visualizing Hierarchical Clusters with Prototypes
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Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
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Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics
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Nonparametric Probabilistic-Statistical Variate Analysis
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Statistical Toolbox for Sedimentary Provenance Analysis
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Compare Provenance Collections to Explain Changed Script Outputs
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Extract Data from US Women's Professional Volleyball Websites
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Summarizes Provenance Related to Inputs and Outputs of a Script or Console Commands
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Uses Provenance to Trace File Lineage for One or more R Scripts
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Spectral Preprocessing and Chemometric Calibration of NIR Sensors
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Statistical Analysis of Ensemble Proximity Matrices
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Linear Models for Prediction and Classification using Proximal Operators
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Gaussian Mixture Proxies for Densities and Characteristic Functions
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Model-Averaged Propensity Scores Selected by Prognostic-Score Balance
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'Pushshift' API Wrapper for 'Reddit' Submission and Comment Search
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Bayesian Information Borrowing with Propensity Score Matching
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Penalized Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors
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Adaptive, Sine-Multitaper Power Spectral Density and Cross Spectrum Estimation
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Data Envelopment Analysis with User-Defined and Learned Reference Sets
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Use Time Series to Generate and Compare Power Spectral Density
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A Pseudo-Observations Approach for Analyzing Survival Data with a Cure Fraction
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Generate Pseudohouseholds on Road Networks in Regions
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Multivariate Pseudo-Voigt Mixture Models
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Methods for Evaluating Principal Surrogates of Treatment Response
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Forecasting of Univariate Time Series Using the Pattern Sequence-Based Forecasting (PSF) Algorithm
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Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets