| Statistics and Design |
HyperStat http://davidmlane.com/hyperstat/index.html
HyperStat
Online
is
an
introductory-level
hypertext
statistics book. Also comprehensive links to other on line
stat books and links to some stat jokes.
Statistics at square one
http://www.bmj.com/about-bmj/resources-readers/publications/statistics-square-one
From BMJ, an on line brief stat text, from 1997. Also
see Epidemiology for the uninitiated http://www.bmj.com/about-bmj/resources-readers/publications/epidemiology-uninitiated
Electronic Textbook http://www.statsoft.com/textbook/
Complete on line statistics text book, with many advanced
topics.
Stat Primer http://www.sjsu.edu/faculty/gerstman/StatPrimer/
an
on
line
public
domain
stat
manual.
The Little Handbook of Statistical Practice http://www.jerrydallal.com/LHSP/LHSP.htm
basic stats to anova and regression. As of 2012, the
website isn't being updated. He put it together in a book.
The North Carolina Center for Public Health Preparedness Training
Website http://nciph.sph.unc.edu/tws/index.php
has free on line training for biostatistics, epidemiology, other
topics.
Engineering Statistics http://www.itl.nist.gov/div898/handbook/index.htm
although much is for engineers, some is also useful for social
research. For example a chapter on exploratory analysis has
a section about graphing the data. Another section on quantitative
techniques describes many of the usual statistical tests used in
social science.
Stat Prob http://statprob.com/
This is an Encyclopedia Sponsored by Statistics and Probability
Societies. Kind of a combination of wikis and editorial review.
Popular articles include Logistic Regression http://statprob.com/?op=getobj&from=objects&id=211
and Generalized Linear Models http://statprob.com/?op=getobj&from=objects&id=210
The authors are listed with the articles.
Handbook of Biological Statistics http://udel.edu/~mcdonald/statintro.html
by John H. McDonald. For biology students, but it looks very
useful for social scientists too.
(checked to here, 6/20/15)
Specific
topics
or lists of links
click here to
return to methods page
Design, validity, Randomized
Control Trials (RCT)
click here to
return to methods page
See our pamphlet on experimental design http://gsociology.icaap.org/methods/BasicguidesHandouts.html
establishing cause
Experimental Design and Some Threats to Experimental Validity: A
Primer http://eric.ed.gov/?id=ED499991
Skidmore, Susan. Online Submission, Paper presented at the
Annual Meeting of the Southwest Educational Research Association
(New Orleans, LA, Feb 6, 2008)
When to Use a Randomized Controlled Trial and When Not to http://www.meaningfulevidence.com/index.php/newsandupdates/publications
April 2013, from Dr. Bernadette Wright, Meaningful
Evidence. This paper is also available as pdf on her resource
page.
Statsoft has a chapter on experimental design http://www.statsoft.com/textbook/
Research Methods Knowledge Base, chapter on design http://www.socialresearchmethods.net/kb/design.htm
Allpsych on line texts http://allpsych.com/onlinetexts.html
the
research
methods
text
is
mainly
about design. Also has an on line text on stats. For example,
this http://allpsych.com/researchmethods/quasiexperimentaldesign.html
is
a
brief
overview
of
quasi
experimental design.
Steps of the scientific method http://www.experiment-resources.com/
describes many of the experimental design concepts, issues.
Quasi-Experimental Evaluation http://www.childtrends.org/?publications=quasi-experimental-evaluations
Threat to validity http://psych.athabascau.ca/html/Validity/
overview
of
threats
to
validity.
See
part 1.
Propensity Score Analysis
Robert Pruzek's page http://propensityscoreanalysis.pbworks.com/w/page/19358742/FrontPage
has papers and presentations about psa
A Comparison of Propensity Score Analysis to Analysis of
Covariance: A Case Illustration http://works.bepress.com/john_fraas/25/
paper
by
Fraas,
explaining
PSA,
and
some how to do it.
Reducing the Impact of Selection Bias with Propensity
Scores http://www.chrp.org/propensity/
some
slides
from
a
class,
some
on what it is, some on how to.
The propensity score and estimation in nonrandom surveys - an
overview http://www.websm.org/db/12/11631/Bibliography/The_propensity_score_and_estimation_in_nonrandom_surveys__an_overview/?menu=1&lst=&q=propensityscoreandestimationnonrandomsurveys_0_111111_-1&qdb=12&qsort=0
Stig Danielsson, Department of Statistics, University of
Linköping. This paper is about weighting and websurveys.
Bayesian Inference
The International Society for Bayesian Analysis
(ISBA) http://bayesian.org/
has a brief description of bayesian inference.
Guidance for the Use of Bayesian Statistics in Medical Device
Clinical Trials http://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/ucm071072.htm
This guidebook from the FDA explains bayesian methods "Bayesian
statistics is an approach for learning from evidence as it
accumulates. In clinical trials, traditional (frequentist)
statistical methods may use information from previous studies only
at the design stage. Then, at the data analysis stage, the
information from these studies is considered as a complement to,
but not part of, the formal analysis. In contrast, the Bayesian
approach uses Bayes’ Theorem to formally combine prior information
with current information on a quantity of interest. The Bayesian
idea is to consider the prior information and the trial results as
part of a continual data stream, in which inferences are being
updated each time new data become available."
Bayesian perspectives for epidemiological research: I. Foundations
and basic methods http://ije.oxfordjournals.org/content/35/3/765.full
by Sander Greenland. I have to read this article again to
understand what it says, but it's in the International Journal of
Epidemiology.
This Los Alamos labs page http://www.lanl.gov/bayesian/
also has a tutorial on bayesian methods.
Bayesian Statistics in Oncology http://onlinelibrary.wiley.com/doi/10.1002/cncr.24628/full
by Adamina, Tomlinson and Guller. Also some explanation.
Bayesian statistics, WinBUGS , and R http://www.stat.auckland.ac.nz/~millar/
from Russell Millar, Department of Statistics, University of
Auckland
See chapter 1 in the Applied Bayesian Inference workshop, power
point handouts
Bayesian statistics made (as) simple (as possible) http://www.youtube.com/watch?v=bobeo5kFz1g
lecture. Look at it starting about 7 or 8 minutes in. This is from
Allen Downey
http://allendowney.blogspot.com/2012/03/bayesian-statistics-made-simple.html
Dr. Downey is a Professor of Computer Science at the Franklin W.
Olin College of Engineering. http://www.olin.edu/faculty/profile/allen-downey/
Kevin Boone's explanation of Bayes http://kevinboone.net/bayes.html
Bayesian Statistics http://www.youtube.com/playlist?list=PLFHD4aOUZFp0Xhzd5j1nWnExD54xJfnJX
from Jared Niemi, from Iowa State University, Department of
Statistics
http://www.stat.iastate.edu/personal/?id=niemi
These are for his Intro to Bayesian Statistics
class.