Statistics

1.     The ASA’s Statement on p-Values: Context, Process, and Purpose
2.     Ten Simple Rules for Effective Statistical Practice
3.     Statistics in the Life Sciences: A Summer Reading List
4.     Statistical Issues Seen in Non-Statistics Proposals
5.     Sir David Cox: Statistics – Past, Present and Future

Agriculture &  Natural Resources

1.     Gap Between Practice and Research in Sustainable Agriculture
2.     Reproducible Research in Agricultural Sciences
3.     Bio-equivalence Power Analysis for Design of Experiments in Animal Studies
4.     Embracing Heterogeneity to Detect Genetic Variation by YETI
5.     Will Big Data Close the Missing Heritability Gap
6.     Spatial Relationship (Hotspots) Between Plant Residue and Soil Gas Emission (N₂O)

Software

1.     SAS University Edition  (SAS 101)
2.     PAST Software for Scientific Data Analysis
3.     G*Power for Statistical Power Analyses  (a beginner’s guide)
4.     R Project for Statistical Computing  (users guide)
5.     Mplus for Structural Equation Modeling  (statistical analysis with latent variables)

Books

1.     Analysis of Messy Data (Volume 1)
2.     Analysis of Messy Data (Volume 3)
3.     Statistical Design
4.     Linear Statistical Models
5.     Basic Statistics: An Introduction with R
6.     Computer Age Statistical Inference