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Oldham PD. A note on the analysis of repeated measurements of the same sub-
jects. J. Chron. Dis . 1962; 15 :969-977.
Osborne J; Waters E. Four assumptions of multiple regression that researchers
should always test. Pract. Assess. Res. Eval. 2002; 8 (2). Available online.
Padaki PM. Inconsistencies in the use of statistics in horticultural research. Hort.
Sci . 1989; 24 :415.
Palmer RF; Graham JW; White EL; Hansen WB. Applying multilevel analytic
strategies in adolescent substance use prevention research. Prevent. Med. 1998;
27 :328-336.
Pankratz A. Forecasting with Dynamic Regression Models. New York: John Wiley &
Sons, 1991.
Parkhurst DF. Arithmetic versus geometric means for environmental concentration
data. Environmental Sci. Technol. 1998; 32 :92A-98A.
Parkhurst DF. Statistical significance tests: Equivalence and reverse tests should
reduce misinterpretation. Bioscience 2001; 51 :1051-1057.
Pesarin F. Multivariate Permutation Tests . New York: John Wiley & Sons, 2001.
Pettitt AN; Siskind V. Effect of within-sample dependence on the
Mann-Whitney-Wilcoxon statistic. Biometrika 1981; 68 :437-441.
Phipps MC. Small samples and the tilted bootstrap. Theory of Stochastic Processes
1997; 19 :355-362.
Picard RR; Berk KN. Data splitting. Am. Stat. 1990; 44 :140-147.
Picard RR; Cook RD. Cross-validation of regression models. JASA 1984; 79 :575-
583.
Pierce CS. Values in a University of Chance , PF Wiener, ed. New York: Doubleday
Anchor Books, 1958.
Pilz J. Bayesian Estimation and Experimental Design In Linear Regression Models ,
2nd ed. New York: John Wiley & Sons, 1991.
Pinelis IF. On minimax risk. Theory Prob. Appl. 1988; 33 :104-109.
Pitman EJG. Significance tests which may be applied to samples from any popula-
tion . R. Stat. Soc. Suppl . 1937; 4 :119-130, 225-232.
Pitman EJG. Significance tests which may be applied to samples from any
population. Part III. The analysis of variance test. Biometrika 1938; 29 :322-
335.
Poole C. Beyond the confidence interval. Am. J. Public Health 1987; 77 :195-199.
Poole C. Low p -values or narrow confidence intervals: Which are more durable?
Epidemiology 2001; 12 :291-294.
Praetz P. A note on the effect of autocorrelation on multiple regression statistics.
Aust. J. Stat. 1981; 23 :309-313.
Proschan MA; Waclawiw MA. Practical guidelines for multiplicity adjustment in
clinical trials. Controlled Clin. Trials 2000; 21 :527-539.
Ravnskov U. Cholesterol lowering trials in coronary heart disease: Frequency of
citation and outcome. BMJ 1992; 305 :15-19.
Rea LM; Parker RA; Shrader A. Designing and Conducting Survey Research: A
Comprehensive Guide , 2nd ed. Jossey-Bass, 1997.
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