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You are here		www.r-bloggers.com PAMLj: The new Power Analysis Module for jamovi \| R-bloggers
\|	\|	gregorygundersen.com Residual Sum of Squares in Terms of Pearson's Correlation	19.4 parsecs away Travel
\|	\|	Gregory Gundersen is a quantitative researcher in New York.	19.4 parsecs away Travel
\|	\|	thelogicofscience.com Basic statistics part 4: understanding P values \| The Logic of Science	20.6 parsecs away Travel
\|	\|	If you've ever read a scientific paper, you've probably seen a statement like, "There was a significant difference between the groups (P = 0.002)" or "there was not a significant correlation between the variables (P = 0.1138)," but you may not have known exactly what those numbers actually mean. Despite their prevalence and wide-spread use,...	20.6 parsecs away Travel
\|	\|	r-video-tutorial.blogspot.com R tutorial for Spatial Statistics: Power analysis and sample size calculation for Agriculture	16.1 parsecs away Travel
\|	\|	Power analysis is extremely important in statistics since it allows us to calculate how many chances we have of obtaining realistic result...	16.1 parsecs away Travel
\|	\|	www.fharrell.com Violation of Proportional Odds is Not Fatal - Statistical Thinking	66.3 parsecs away Travel
\|		Many researchers worry about violations of the proportional hazards assumption when comparing treatments in a randomized study. Besides the fact that this frequently makes them turn to a much worse approach, the harm done by violations of the proportional odds assumption usually do not prevent the proportional odds model from providing a reasonable treatment effect assessment.	66.3 parsecs away Travel