Article: Yamamura (2012) Extended key-factor/key-stage analysis for longitudinal data

Journal: Journal of Biopharmaceutical Statistics 22(1) : 1-15

キーファクター・キーステージ分析の日本語資料はこちら　（2012年度計量生物学会年会の講演要旨を改変）

Appendix A (SAS program)

This Appendix shows SAS programs to perform the extended key-factor/key-stage analysis for the data described in the article.

A-0: SAS macro for key-factor/key-stage analysis.

A-1: Effect of drugs on the respiratory ability of asthma patients

A-2: Influence of mother’s height on daughter’s height

A-3: Influence of plant density on the abundance of insects

A-4: Effect of treatments and clinics on the respiratory ability

Appendix B (R program)

This Appendix shows R programs to perform the extended key-factor/key-stage analysis for the data described in the article.

B-0: R function for key-factor/key-stage analysis.

B-1: Effect of drugs on the respiratory ability of asthma patients

B-2: Influence of mother’s height on daughter’s height

B-3: Influence of plant density on the abundance of insects

B-4: Effect of treatments and clinics on the respiratory ability

Appendix C (SAS program)

This Appendix shows the SAS program to estimate the parameters of the nonlinear mixed model described in the article.

C-1: Effect of drugs on the respiratory ability of asthma patients.

C-2: Influence of mother’s height on daughter’s height

Key-factor/key-stage analysis for spruce budworm, Choristoneura fumiferana.

The R program to calculate key-factor/key-stage table for data from Royama (1996) and Morris et al. (1958). The R function in Appendix B is used.

Key-factor/key-stage analysis for spruce budworm.

Original key-factor/key-stage analysis in Yamamura (1999, Table 1)

The SAS program to calculate the original key-factor/key-stage table given in Yamamura (1999). The macro program in Appendix A is used.

Key-factor/key-stage analysis in Yamamura (1999) SAS program.

The R program to calculate the original key-factor/key-stage table given in Yamamura (1999). The R function in Appendix B is used.

Key-factor/key-stage analysis in Yamamura (1999) R program.

Key-factor/key-stage analysis in Yamamura (2001, Table 4)

The R program to calculate the original key-factor/key-stage table given in Yamamura (2001). The R function in Appendix B is used.

Key-factor/key-stage analysis in Yamamura (2001) R program.

Excel spreadsheet (only for nominal factors without interactions)

Spreadsheet for performing key-factor/key-stage analysis

References

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Littell, R. C., Milliken, G. A., Stroup, W. W., Wolfinger, R. D. (2006). SAS for Mixed Models, Cary: SAS Institute Inc.
Morris RF, Miller CA, Greenbank D, Mott DG (1958) The population dynamics of the spruce budworm in eastern Canada. Proceedings of the 10th International Congress of Entomology, 4
Royama, T. (1996) A fundamental problem in key factor analysis. Ecology 77:87-93
Stokes, M.E., Davis, C.S., and Koch, G.G. (2001) Categorical Data Analysis Using the SAS System, 2nd edition, Chap 15.6.
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Yamamura, K., Yano, E. (1999). Effects of plant density on the survival rate of cabbage pests, Res. Popul. Ecol. 41:183-188.
Yamamura K (1999) Key-factor/key-stage analysis for life table data. Ecology 80:533–537 PDF (103KB)
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山村光司 (2000) Key-factor/key-stage 分析による生命表解析. 個体群生態学会会報 57:15–21
山村光司 (2001) Key-factor/key-stage 分析による経時的測定データの解析. 植物防疫 55:389–393
Yamamura K (2012) Extended key-factor/key-stage analysis for longitudinal data. J Biopharm Stat 22:1–15 Author version PDF(282KB)