Links to external statistics web sites

Journals

https://www.scimagojr.com/journalrank.php?category=2613
Statistical Journals including RSS

Glossary of statistical terms

https://conceptstew.co.uk/resources/statistics-glossary/
Definitions of statistics jargon

Issues

http://www.lrdc.pitt.edu/Schunn/SSB/index.html
Statistical Significance Bars (Schunn)

https://www.researchgate.net/publication/265924276_Modeling_and_Interpreting_Interactions_in_Multiple_Regression
Modeling and Interpreting Interactions in Multiple Regression (Donald F. Burrill) which be can requested from the author

http://www.creative-wisdom.com/computer/sas/collinear_orthogonalization.htm
Multi-collinearity Variance Inflation and Orthogonalization in Regression (Dr. Chong-ho (Alex) Yu)
http://archneur.ama-assn.org/issues/v58n5/ffull/nlt0501-2.html
The use and abuse of correlation coefficients. This link seems broken (July 2006) http://archneur.ama-assn.org/cgi/content/extract/58/5/833 contains a summary of this article
http://vassarstats.net/corr_stats.html
Confidence Intervals for the correlation coefficient
http://faculty.cas.usf.edu/mbrannick/regression/regma.htm
Explanation of multiple regression using matrix algebra
http://www.theanalysisfactor.com/
Karen Grace-Martin covers assumptions and interpretations of many statistical tests (including AN(C)OVAs and random effect models on her website called The Analysis Factor
https://clusterrandomisedtrials.qmul.ac.uk/
A website has been launched about cluster randomised trials (thanks to Adam Wagner for flagging this site)
https://clusterrandomisedtrials.qmul.ac.uk/current-developments-crt-sw-2018/#

Materials from a related conference on cluster randomised trials (thanks to Adam Wagner for flagging this site)

Software

http://www.gnu.org/software/pspp/
This is a free version of SPSS called PSPP which claims to perform descriptive statistics, T-tests, anova, linear and logistic regression, cluster analysis, factor analysis, non-parametric tests and more.
https://www.jamovi.org
A free-to-use spreadsheet front end attaching itself to the R statistical language to enable gui use of some of its functions.
http://www.presidion.com/academic-portal
Free student registration to look at youtube videos of how to use and interpret all the statistical methods available in SPSS. To access the full site you need to send proof to Presidion who manage SPSS academic licences of 'lecturer' status to presidion e.g. link to a web page with that information, some documentation from the college, email from head of department etc. emma.tine@presidion.com or irene.garcia@presidion.com are contacts (as of February 2015).
https://www.discoveringstatistics.com/
Andy Field has produced some free downloadable lecture notes on a large variety of statistical procedures including AN(C)OVAs, Factor analysis, regression, descriptive statistics and many more in an accessible style with traces of dark humour. Based upon his SPSS, SAS and R statistics
https://rdrr.io/cran/nlme/
NLME: Software for mixed-effects models (Pinheiro and Bates)
http://www.octave.org/
Octave - GNU Matlab-lookalike
http://euclid.psych.yorku.ca/SCS/Online/power/
Power analysis for ANOVAs
http://www.stat-help.com/spreadsheets.html
A variety of EXCEL spreadsheet programs. The effect size calculators in the 'Meta-analysis' section are particularly worth a look.
https://archive.org/details/freesoftwarefordos_calc_pepi
Computer Programs for Epidemiologic Analyses: PEPI v. 4.0 J.H. Abramson and P.M. Gahlinger
https://biostat.app.vumc.org/wiki/Main/PowerSampleSize
Power analysis for many statistics including Regressions and Survival Analysis (downloadable software by William D. Dupont and Walton D. Plummer, Jr.)
http://www.stat.uiowa.edu/~rlenth/Power/
More power calculator Java applets (Russell Lenth)

@article{Lenth2001AmericanStatistician,
  author = {Lenth, R V},
  year = {2001},
  title = {{S}ome {P}ractical {G}uidelines for effective sample size determination.},
  journal = {{T}he American Statistician}, 
  volume = {55},
  number = {3},
  pages = {187-193}}

https://www.spsstools.net/en/syntax/
Raynald Levesque's website has various SPSS syntax and macros mainly by him.
https://www.gnu.org/software/pspp/
Free open-source version of SPSS that performs descriptives, t-tests, regressions and non-parametric tests. There is a user manual available from https://www.gnu.org/software/pspp/manual/

https://spsstools.net/en/resources/links/personal-sites/dirk-enzmanns-statistical-software/
Dirk Enzmann has written a collection of stand-alone programs, SPSS, R and EXCEL macros to perform a variety of tasks including comparisons of standardised regression coefficients (stand-alone software) and interaction plots (in EXCEL).
https://gsg.uottawa.ca/data/teaching/spss/ProgDataMgmt_20_book.pdf
Raynald Levesque has co-authored this downloadable SPSS syntax guide. Note that python can only be used in SPSS Version 20.0 and above.
http://www.john-uebersax.com/stat/index.htm
Latent Class Analysis (John Uebersax)
https://www.smartpls.com/
Freeware for performing Partial Least Squares analysis (suggested by various researchers)
http://www.graphpad.com/quickcalcs/grubbs2.cfm
Outlier detection tool using Grubb's Test
https://zzz.bwh.harvard.edu/gpc/
Genetic Power Calculator (Sean Purcell and P C Sham)
http://www.bristol.ac.uk/cmm/research/ebooks/
Stat-JR v1.0.5 is the first release of Stat-JR to include a suite of statistical analysis assistants (SAAs). The scope of the SAAs ranges from modelling a simple linear regression through to a combined SAA that will cope with: different response types (normal, binomial, Poisson and negative-binomial); multiple levels/classifications at which random effects can occur in both a nested or crossed way; random intercepts and slopes and interaction terms. Many of the SAAs use MLwiN (both IGLS and MCMC estimation) as the engine underneath the electronic book thereby joining up Stat-JR and MLwiN software packages that we distribute together. This software is free to academics.
https://www.bristol.ac.uk/cmm/learning/online-course/
Multilevel analysis course on-line module materials comprising the learning environment for multilevel methodology and applications (LEMMA) from the Centre for Multilevel Modelling using R and other software

@article{Purcell2004Bioinformatics,
  author = {Purcell, S and Cherny, S S and Sham, P C},
  year = {2003},
  title = {{G}enetic {P}ower {C}alculator: design of linkage and association genetic mapping studies of complex traits.},
  journal = {{B}ioinformatics}, 
  volume = {19},
  number = {1},
  pages = {149-150}}