Science Research Weekly

By Mark R Williamson

A weekly overview of helpful scientific research topics and the successor of the podcast Statistics Weekly. Every week, I will cover 3 topic areas: Research Articles, Research Tools, and Research Fund... more

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FAQs about Science Research Weekly:

How many episodes does Science Research Weekly have?

The podcast currently has 181 episodes available.

Science Research Weekly episodes:

December 30, 2022 Episode 40: The Close of 2022
Take the poll to weigh in on the future of Statistics Weekly.
...more
1min
December 23, 2022Episode 39: Last Stat Before Christmas
In this episode, I pondered the problem of false positives in publications, rotated around the JuliaHub, machinated over machine learning projects, and put R package ‘drawCell’ to the test.
References:
Are most published research findings false in a continuous universe?

Principal component analysis

A no-free-lunch theorem for multitask learning

JuliaHub

Signal-to-noise ratio and statistical tests

Large Enough Sample Condition

Top 11 Interesting Machine Learning Project Ideas For 2023

Code longevity of the R programming language

{drawCell} – R package and Shiny app for drawing cell structures
R-packages:
colorRamp2: Generate Color Mapping Functions

rworkflows: Test, Document, Containerise, and Deploy R Packages

MetChem: Chemical Structural Similarity Analysis

panelsummary: Create Publication-Ready Regression Tables with Panels

arf: Adversarial Random Forests
...more
5min
December 16, 2022Episode 38: Ho, Ho, Holiday Statistics Projects
In this episode, I marched through machine learning abstractions, brought home the BQN, discovered statistics projects to work on over Christmas, and found the Gosling that lays the golden egg,
References:
Quantifying uncertainty of machine learning methods for loss given default

Evaluating the performance of memory type logarithmic estimators using simple random sampling

A fast kernel independence test for cluster-correlated data

Autoencoders for sample size estimation for fully connected neural network classifiers

[R-pkgs] onetime 0.1.0: Run Code Only Once

🚧 WIP 🚧 From Julia to BQN

Using SAS to score a test

Using the cspade action to find frequent gene sequences

The easygoing relationship between computer scientists and null hypothesis significance testing

Top 11+ Coding Projects for Beginners (2023 Edition)

Gosling: Interactive Genomics Charts in R Shiny

Gosling Main Page
R-packages:
POMS: Phylogenetic Organization of Metagenomic Signals

macroBiome: A Tool for Mapping the Distribution of the Biomes and Bioclimate

reservr: Fit Distributions and Neural Networks to Censored and Truncated Data

NPCox: Nonparametric and Semiparametric Proportional Hazards Model
...more
7min
December 09, 2022Episode 37: Hexadecimal Codes of Christmas
In this episode, I got into the spirit of Sinterklaas with Python, jumpstarted Julia learning, cleared up confusion between ANOVA and regression results, and color paletted the night away.
References:
Estimation of population variance under ranked set sampling method by using the ratio of supplementary information with study variable

10 Simple Reasons to Learn the Julia Programming Language (in 2023)

Python 3.11.1, 3.10.9, 3.9.16, 3.8.16, 3.7.16, and 3.12.0 alpha 3 are now available

Art in SAS: Christmas wrapping paper

when the results of your anova table and regression coefficients disagree

Select colours from an image in R with {eyedroppeR}

How to make your own #RStats Wrapped!
R-packages:
HodgesTools: Common Use Tools for Genomic Analysis

DependencyReviewer: Tool Suite to Investigate Other Packages

gmvjoint: Joint Models of Survival and Multivariate Longitudinal Data

r2social: App Inclusion of Social Sharing and Connect Buttons

lterpalettefinder: Extract Color Palettes from Photos and Pick Official LTER Palettes

jackknifeR: Jackknife Linear Regression and Correlation

POMADE: Power for Meta-Analysis of Dependent Effects

HTT: Hypothesis Testing Tree
...more
6min
December 02, 2022Episode 36: Curb your Stats-thusiasm
In this episode, I picked the choicest R journal articles, served up a digital poker hand in SAS, and tried not to let a defective R-package get me down.
References:
brolgar: An R package to BRowse Over Longitudinal Data Graphically and Analytically in R

shinybrms: Fitting Bayesian Regression Models Using a Graphical User Interface for the R Package brms

R-miss-tastic: a unified platform for missing values methods and workflows

Bias reduction in the logistic model parameters with the LogF(1,1) penalty under MAR assumption

A simulation study: Using dual ancillary variable to estimate population mean under stratified random sampling

Multi-omics peripheral and core regions of cancer

Efficient and automated bandwidth selection in SAS PROC KPCA

Simulate poker hands in SAS

Covariates: Definition & Uses

Our First Peer-Reviewed Statistical R Packages!

Navigating folders in RStudio: a beginner’s guide

October 2022: “Top 40” New CRAN Packages
R-packages:
HTT: Hypothesis Testing Tree

boxfilter: Filter Noisy Data

ggpcp: Parallel Coordinate Plots in the 'ggplot2' Framework

StatTeacherAssistant: An App that Assists Intro Statistics Instructors with Data Sets

tidyclust: A Common API to Clustering
...more
6min
November 24, 2022Episode 35: Turkey v. Tukey
In this episode, I skimmed over a dimension estimator, skipped past a piecewise linear curve, and slipped by the launch of a simple data science ebook.
References:
The generalized ratios intrinsic dimension estimator

The area under a piecewise linear curve

Adapted Randomization

confusing statistical term #13: missing at random and missing completely at random

When to Use plotly?

PCA for Categorical Variables in R

How to combine Multiple Plots in R

RObservations #42: Using the jinjar and tidyRSS packages to make a simple newsletter template

Ebook launch – Simple Data Science (R)

R-packages:
ASRgenomics: 'ASReml-R' Genomics Tools

flashr: Create Flashcards of Terms and Definitions

scistreer: Maximum-Likelihood Perfect Phylogeny Inference at Scale
...more
3min
November 18, 2022Episode 34: Genomics, My Dear Watson
In this episode, I dusted off my genomic gloves with the HCLC-FC and CLIMB methods, waxed poetic with Python’s latest alpha release, and solved plotting mysteries with R-package ‘sherlock’.

References:
Regression discontinuity threshold optimization

Explaining predictive factors in patient pathways using autoencoders

HCLC-FC: A novel statistical method for phenome-wide association studies

Uncertainty-aware mixed-variable machine learning for materials design

Closed-form continuous-time neural networks

New statistical method improves genomic analyzes

synr: Analyze stimulus-color consistency test data

Profile plots in SAS

Optimal linear profile plots in SAS

Python 3.12.0 alpha 2 released

What is Interactive Analytics?

Top 9 Highest Paying Programming Languages (2023)

How to Analyze Likert Scale Data?

Top 10 Data Visualisation Tools Every Data Science Enthusiast Must Know

Open source is a hard requirement for reproducibility

R-packages:
exactLTRE: An Exact Method for Life Table Response Experiment (LTRE) Analysis

sherlock: Graphical Displays to Aid Structured Problem Solving and Diagnosis

cipheR: Encryption and Decryption with Text Ciphers

rjtools: Preparing, Checking, and Submitting Articles to the 'R Journal'

commafree: Call Functions Without Commas Between Arguments
...more
7min
November 10, 2022Episode 33: Healthy Heaping of Free Stats
In this episode, I took advantage of more than one free data science course, mused over mappings for R, and helped myself to a heap of helper functions with R package ‘mlmhelpr’.
References:
The Hybrid Model of Autoregressive Integrated Moving Average and Fuzzy Time Series Markov Chain on Long Memory Data

Predicting prediction: A systematic workflow to analyze factors affecting the classification performance in genomic biomarker discovery

A supervised topic embedding model and its application

Shrinkage estimators of large covariance matrices with Toeplitz targets in array signal processing

SAS® Fast-KPCA: An efficient and innovative nonlinear principal components method

TDApplied version 2.0.0

Issues While Switching R to UTF-8 and UCRT on Windows

Datacamp Free Access Week

Map any region in the world with R – Part II: Obtaining the coordinates

R ggmap – How to Visualize Spatial Data in R
R-packages:
cauchypca: Robust Principal Component Analysis Using the Cauchy Distribution

nett: Network Analysis and Community Detection

pwrss: Power and Sample Size Calculation Tools

SASdates: Convert the Dates to 'SAS' Formats

planningML: A Sample Size Calculator for Machine Learning Applications in Healthcare

mlmhelpr: Multilevel/Mixed Model Helper Functions

ExomeDepth: Calls Copy Number Variants from Targeted Sequence Data
...more
6min
November 04, 2022Episode 32: Spooky Scary Statistics
In this episode, I waved my hand across several financial data journal articles, took advantage of free data science tutorials, learned how to run a dev environment from a flash drive, and did a double take at a seeming CRAN package duplication.
References:
Analyzing Intraday Financial Data in R: The highfrequency Package

A Practitioner's Guide and MATLAB Toolbox for Mixed Frequency State Space Models

spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models

Bias reduction in the logistic model parameters with the LogF(1,1) penalty under MAR assumption

The Annals of Statistics Volume 50 Issue 5

R 4.2.2 is released

Call for proposals to organize a hybrid useR! in 2023 or 2024

A trick to combine and split strings

365 Data Science courses free until November 21

A Linux Live USB as a statistical programming dev environment

Top 5 Shiny UI Add-On Packages

September 2022: “Top 40” New CRAN Packages

R-packages:
ExomeDepth: Calls Copy Number Variants from Targeted Sequence Data

minsample1: The Minimum Sample Size

minsample2: The Minimum Sample Size

palaeoverse: Prepare and Explore Data for Palaeobiological Analyses

SAP: Statistical Analysis and Programming

tidyfit: Regularized Linear Modeling with Tidy Data

robustbetareg: Robust Beta Regression
...more
8min
October 28, 2022Episode 31: Awash in Acronyms
In this episode, I tried to keep my acronyms straight, dealt with big and tall (data), poked the ribs of SPSS, and contrasted the PIC with the AIC (more acronyms on the march!)
References:
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package

synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data

BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R

Facilitating time series classification by linear law-based feature space transformation

Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery

Visualize dependencies of missing values

Formatting your Microsoft Excel output using ODS Excel

How to use the image function in R

How to create a heatmap in R

The pheatmap function in R

SAS or R-Yould Should Know!

Understanding ShinyApps

R-packages:
worrrd: Generate Wordsearch and Crossword Puzzles

picR: Predictive Information Criteria for Model Selection
...more
7min

FAQs about Science Research Weekly:

How many episodes does Science Research Weekly have?

The podcast currently has 181 episodes available.