1999
Critical values for the Stouffer-max probability-pooler (3/99)
Binomial tables. Each table shows the probability
p of s or more
successes in k independent trials, where P is the probability of success
on each trial. For k up to 1000, tables show all values of p between .1 and .0001.
(3/99)
Table for P = .01.....
Table for P = .05.....
Table for P = .1.....
Table for P = .5
Compact binomial tables. Let P denote the probability of success on
each trial, s the number of successes, and p the probability of s
or more successes in k independent trials. For s up to 1000 and for four values
of P, these tables allow you to tell whether p falls below .05, .01, or .001.
These tables are particularly convenient for "file-drawer" analyses, but are useful for other
purposes as well. These are the same tables referenced in the meta-analysis section.
(2/98)
Table for P = .01.....
Table for P = .05.....
Table for P = .1.....
Table for P = .5
1998
The SWEEP algorithm for multiple regression (4/98)
ALLSETS: a simple algorithm for all-subsets regression (4/98)
Using ALLSETS to identify collinear sets (4/98)
Typos and other errors in Regression and Linear Models (3/98)
A new diagnostic measure di for regression (3/98)
The Electoral College: bulwark against fraud (3/98)
Tables for calculating "fail-safe N" (2/98)
New tables for the p-product meta-analytic method (2/98)
1997
REPTOC--An adaptive alternative to the Wilcoxon signed-ranks test (1/97)
Transforming a variable to a normal distribution or other specified shape (1/97)
Factor analysis (1/97)
Correcting the standard errors of regression slopes for heteroscedasticity (1/97)
Combining human judgment and multiple regression (1/97)
Multivariate analysis (1/97)
Regression methods in statistical process control (1/97)
Are we measuring "life expectancy" the best way? (1/97)
1996
The Wilcoxon signed-ranks test (9/96)
A normal-scores alternative to the Wilcoxon test (9/96)
A meta-analytic "p-pooler" with three advantages (9/96)
Measures of association in crosstab tables (9/96)
Some new 2 x 2 tests (9/96)
The sign test (with table) (9/96)
Computation-based estimates of true shrunken multiple correlations (9/96)
A regression approach to time-series analysis (9/96)
The use of infant looking times in statistical analysis (9/96)
"The Bell Curve"--solid center or abnormal deviate? (8/96)
Supplementing random assignment with statistical control (8/96)
How many covariates to use in randomized experiments? (8/96)