National Academy of Sciences | 150 Year Anniversary

Questions? Call 800-624-6242

| Items in cart [0]

The National Academies Press

HARDBACK
price:$51.95
add to cart

Rights & Permissions

topleft topright

Reducing Suicide: A National Imperative (2002)
Institute of Medicine (IOM)

Citation Manager

. "Appendix A: Statistical Details." Reducing Suicide: A National Imperative. Washington, DC: The National Academies Press, 2002.

Please select a format:

BibTeX EndNote RefMan


Page
467
bottomleft bottomright

The following HTML text is provided to enhance online readability. Many aspects of typography translate only awkwardly to HTML. Please use the page image as the authoritative form to ensure accuracy.


Reducing Suicide: A National Imperative

6

4.6604

7

5.8122

Therefore, the P–1 [.99 ; K.95(123)] upper tolerance limit is 7 suicides per month in the example posed.

REFERENCES

Beck AT, Steer RA. 1987. Beck Depression Inventory: Manual. San Antonio, TX: Psychological Corporation.

Bock RD, Aitkin M. 1981. Marginal maximum likelihood estimation of item parameters: an application of the EM algorithm. Psychometrika, 46: 443–459.

Böhning D, Schlattmann P, Lindsay BG. 1992. Computer-assisted analysis of mixtures (C.A.MAN): Statistical algorithms. Biometrics, 48: 283–303.

Böhning D, Dietz E, Schlattmann P. 1998. Recent developments in computer-assisted analysis of mixtures. Biometrics, 54: 525–536.

Böhning D. 1999. Computer-Assisted Analysis of Mixtures and Applications. Meta-Analysis, Disease Mapping and others. Chapman and Hall CRC: Boca Raton.


Cox C. 1995. Location-scale cumulative odds models for ordinal data: A generalized nonlinear model approach. Statistics in Medicine, 14: 1191–1203.

Cox DR, Hinkley DV. 1974. Theoretical Statistics. Chapman and Hall: London.


Dempster AP, Laird NM, Rubin DB. 1977. Maximum likelihood from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society, Series B, 39: 1–38.


Gibbons RD. 1987. Statistical models for the analysis of volatile organic compounds in waste disposal sites. Ground Water, 25: 572–580.

Gibbons RD, Clark DC, Fawcet J. 1990. A statistical method for evaluating suicide clusters and implementing cluster surveillance. American Journal of Epidemiology, 132 (Suppl 1): S183–S191.


Hahn GJ, Meeker WQ. 1991. Statistical Intervals: A Guide for Practitioners. Wiley: New York.

Hartley HO, Pearson ES. 1950. Tables of the chi-squared integral and of the cumulative Poisson distribution. Biometrika, 37: 313–325.

Hedeker D, Gibbons RD. 1994. A random effects ordinal regression model for multilevel analysis. Biometrics, 50: 933–944.

Hedeker D, Mermelstein RJ. 1998. A multilevel thresholds of change model for analysis of stages of change data. Multivariate Behavioral Research, 33: 427–455.


Laird N. 1978. Nonparametric maximum likelihood estimation of a mixing distribution. Journal of the American Statistical Association, 73: 805–811.

Liang KY, Zeger SL. 1986. Longitudinal data analysis using generalized linear models. Biometrika, 73: 13–22.

Lindsay BG. 1983. The geometry of mixture likelihoods, part I: A general approach. Annals of Statistics, 11: 783–792.

Lindsay BG. 1995. Mixture Models: Theory, Geometry and Applications. NSF-CBMS Regional Conference Series in Probability and Statistics, Vol. 5. Hayward, CA: Institute of Mathematical Statistics.

Lindsay BG, Roeder K. 1992. Residual diagnostics for mixture models. Journal of the American Statistical Association, 87: 785–794.


Maindonald JH. 1984. Statistical Computation. Wiley: New York.

McCullagh P. 1980. Regression models for ordinal data (with discussion). Journal of the Royal Statistical Society, Series B, 42: 109–142.

McLachlan GJ, Krishnan T. 1997. The EM Algorithm and Extensions. New York: Wiley.

Page
467